Google Earth Engine#
Google Earth Engine is a cloud computing platform with a multi-petabyte catalog of satellite imagery and geospatial datasets. During the past few years, this platform has become very popular in the geospatial community because it enables large-scale remote sensing studies (i.e. continental- to global-scale analysis using medium resolution imagery).
There are both JavaScript and Python APIs for using Earth Engine. We write code using these APIs on our local machines which is then executed remotely on Google’s servers. Therefore we never have to download raw datasets. Instead we return only the results we need from our analysis.
In this lecture, we will demonstrate how to use Earth Engine Python API to track the area of an ice cap in western Greenland between 2015 and 2025. The ice cap is a lobe of the larger Tasersiap Sermia. We will use Landsat data which is the longest continuous satellite record of the Earth’s land surface. There are a number of different Landsat datasets, related to satellite platform and processing level. We will use the Landsat 8, Collection 2, Tier 1 Surface Reflectance product.
The geemap package will make this analysis much easier. geemap enables us to visualize Earth Engine datasets interactively within a Jupyter environment with minimal coding. As we will see in this demo, this will be very important for debugging our code.
Note
Students will need to register for an Earth Engine account before executing the code in this notebook.
Install Earth Engine#
It is recommended to use conda to install geemap and its dependencies. It is a good practice to install this package to a new environment to reduce risk of version conflicts with other geospatial packages.
conda create -n gee python
conda activate gee
conda install -c conda-forge geemap
Note
Installing geemap will automatically install all of its dependencies, including the earthengine-api package.
# Import packages
import ee
import geemap
import time
import numpy as np
Authenticate and initialize#
We will need to authenticate Earth Engine before using it. After running the following code cell, a pop-up window will appear and we will be asked to authorize the Google Earth Engine Authenticator.
The first time we run this cell, we will also have to select a Cloud Project to use for Earth Engine. Once we have confirmed the Cloud Project, we will be provided with a verification code which we can paste into the box that will appear below the cell.
Authentication for local installations should be a one-time thing since it generates a persistent authorization token that is stored locally in the .config folder on our computer. But we will have to run Initialize for each new Python session.
# Authenticate
ee.Authenticate()
# Change default project name
ee.Initialize(project='ee-icecap')
Interactive map#
geemap provides functionality for visualizing data in Earth Engine interactively. To demonstrate, we will define a square region over an area of western Greenland to plot the Tasersiap Sermia lobe.
latitude = 66.128
longitude = -50.306
size = 21000
We can now convert this float values to an Earth Engine geometry data type which is the format in which GEE stores geospatial shapes. In the first line, we define a single point, and then we buffer the point to a square of the the size we want.
point = ee.Geometry.Point(longitude, latitude)
region = point.buffer(size/2).bounds()
type(region)
ee.geometry.Geometry
If we plot that region, we will see that we are looking in the right place.
Map = geemap.Map() # Make empty map
Map.addLayer(region) # Add region layer
Map.centerObject(region, zoom=10) # Center on region
Map # Display
Plot data#
We’re ready to plot some data. To start with, we will visualize a single Landsat image. To narrow our search, we will define a time period by setting a start and an end date.
date_start = '2023-07-01'
date_end = '2023-08-31'
Collection 2 is the “version 2” of the standard reprocessing of the Landsat archive. Tier 1 is the highest-quality data, and Surface Reflectance means that the data has been corrected to remove the effects of the atmosphere. The reflectance values from multiple scenes acquired during different times of the day, in different lighting conditions therefore should be comparable.
We can acquire all Landsat products within our specified spatial and temporal bounds using ImageCollection function.
# Get Landsat 8 image collection
image_collection = ee.ImageCollection("LANDSAT/LC08/C02/T1_L2")
# Filter to desired region and date bounds
image_collection = image_collection.filterBounds(region)
image_collection = image_collection.filterDate(date_start, date_end)
type(image_collection)
ee.imagecollection.ImageCollection
An ImageCollection contains a list of features (images) and bands (e.g. red, blue, NIR) that the images have in common. Each Image contains its own bands which contain actual data as well as properties which contains metadata associated with each image such as image acquisition times, cloud cover, correction coefficients.
image_collection
ImageCollection LANDSAT/LC08/C02/T1_L2 (13 elements)
- type:ImageCollection
- id:LANDSAT/LC08/C02/T1_L2
- version:1759687386285831
bands: []
properties: Object (25 properties)
date_range: [1365638400000, 1654560000000]
- 0:1365638400000
- 1:1654560000000
- description:<p>This dataset contains atmospherically corrected surface reflectance and land surface temperature derived from the data produced by the Landsat 8 OLI/TIRS sensors. These images contain 5 visible and near-infrared (VNIR) bands and 2 short-wave infrared (SWIR) bands processed to orthorectified surface reflectance, and one thermal infrared (TIR) band processed to orthorectified surface temperature. They also contain intermediate bands used in calculation of the ST products, as well as QA bands.</p><p>Landsat 8 SR products are created with the Land Surface Reflectance Code (LaSRC). All Collection 2 ST products are created with a single-channel algorithm jointly created by the Rochester Institute of Technology (RIT) and National Aeronautics and Space Administration (NASA) Jet Propulsion Laboratory (JPL).</p><p>Strips of collected data are packaged into overlapping "scenes" covering approximately 170km x 183km using a <a href="https://landsat.gsfc.nasa.gov/about/worldwide-reference-system">standardized reference grid</a>.</p><p>Some assets have only SR data, in which case ST bands are present but empty. For assets with both ST and SR bands, 'PROCESSING_LEVEL' is set to 'L2SP'. For assets with only SR bands, 'PROCESSING_LEVEL' is set to 'L2SR'.</p><p><a href="/earth-engine/guides/landsat">Additional documentation and usage examples.</a></p><p>Data provider notes:</p><ul><li><p>Data products must contain both optical and thermal data to be successfully processed to surface temperature, as ASTER NDVI is required to temporally adjust the ASTER GED product to the target Landsat scene. Therefore, night time acquisitions cannot be processed to surface temperature.</p></li><li><p>A known error exists in the surface temperature retrievals relative to clouds and possibly cloud shadows. The characterization of these issues has been documented by <a href="https://doi.org/10.3390/rs61111244">Cook et al., (2014)</a>.</p></li></ul><p><b>Provider: <a href="https://www.usgs.gov/core-science-systems/nli/landsat/landsat-collection-2-level-2-science-products">USGS</a></b><br><p><b>Resolution</b><br>30 meters </p><p><b>Revisit Interval</b><br> 16 days </p><p><b>Bands</b><table class="eecat"><tr><th scope="col">Name</th><th scope="col">Units</th><th scope="col">Min</th><th scope="col">Max</th><th scope="col">Scale</th><th scope="col">Offset</th><th scope="col">Wavelength</th><th scope="col">Description</th></tr><tr><td>SR_B1</td><td></td><td> 1 </td><td> 65455 </td><td>2.75e-05</td><td>-0.2</td><td>0.435-0.451 μm</td><td><p>Band 1 (ultra blue, coastal aerosol) surface reflectance</p></td></tr><tr><td>SR_B2</td><td></td><td> 1 </td><td> 65455 </td><td>2.75e-05</td><td>-0.2</td><td>0.452-0.512 μm</td><td><p>Band 2 (blue) surface reflectance</p></td></tr><tr><td>SR_B3</td><td></td><td> 1 </td><td> 65455 </td><td>2.75e-05</td><td>-0.2</td><td>0.533-0.590 μm</td><td><p>Band 3 (green) surface reflectance</p></td></tr><tr><td>SR_B4</td><td></td><td> 1 </td><td> 65455 </td><td>2.75e-05</td><td>-0.2</td><td>0.636-0.673 μm</td><td><p>Band 4 (red) surface reflectance</p></td></tr><tr><td>SR_B5</td><td></td><td> 1 </td><td> 65455 </td><td>2.75e-05</td><td>-0.2</td><td>0.851-0.879 μm</td><td><p>Band 5 (near infrared) surface reflectance</p></td></tr><tr><td>SR_B6</td><td></td><td> 1 </td><td> 65455 </td><td>2.75e-05</td><td>-0.2</td><td>1.566-1.651 μm</td><td><p>Band 6 (shortwave infrared 1) surface reflectance</p></td></tr><tr><td>SR_B7</td><td></td><td> 1 </td><td> 65455 </td><td>2.75e-05</td><td>-0.2</td><td>2.107-2.294 μm</td><td><p>Band 7 (shortwave infrared 2) surface reflectance</p></td></tr><tr><td>SR_QA_AEROSOL</td><td></td><td></td><td></td><td></td><td></td><td></td><td><p>Aerosol attributes</p></td></tr><tr><td colspan=100> Bitmask for SR_QA_AEROSOL <ul><li> Bit 0: Fill <ul></ul></li><li> Bit 1: Aerosol retrieval - valid <ul></ul></li><li> Bit 2: Water pixel <ul></ul></li><li> Bit 3: Unused <ul></ul></li><li> Bit 4: Unused <ul></ul></li><li> Bit 5: Interpolated Aerosol <ul></ul></li><li> Bits 6-7: Aerosol Level <ul><li>0: Climatology</li><li>1: Low</li><li>2: Medium</li><li>3: High</li></ul></li></ul></td></tr><tr><td>ST_B10</td><td>Kelvin</td><td> 0 </td><td> 65535 </td><td>0.00341802</td><td>149</td><td>10.60-11.19 μm</td><td><p>Band 10 surface temperature. If 'PROCESSING_LEVEL' is set to 'L2SR', this band is fully masked out.</p></td></tr><tr><td>ST_ATRAN</td><td></td><td> 0 </td><td> 10000 </td><td>0.0001</td><td></td><td></td><td><p>Atmospheric Transmittance. If 'PROCESSING_LEVEL' is set to 'L2SR', this band is fully masked out.</p></td></tr><tr><td>ST_CDIST</td><td>km</td><td> 0 </td><td> 24000 </td><td>0.01</td><td></td><td></td><td><p>Pixel distance to cloud. If 'PROCESSING_LEVEL' is set to 'L2SR', this band is fully masked out.</p></td></tr><tr><td>ST_DRAD</td><td>W/(m^2*sr*um)/ DN</td><td> 0 </td><td> 28000 </td><td>0.001</td><td></td><td></td><td><p>Downwelled Radiance. If 'PROCESSING_LEVEL' is set to 'L2SR', this band is fully masked out.</p></td></tr><tr><td>ST_EMIS</td><td></td><td> 0 </td><td> 10000 </td><td>0.0001</td><td></td><td></td><td><p>Emissivity of Band 10 estimated from ASTER GED. If 'PROCESSING_LEVEL' is set to 'L2SR', this band is fully masked out.</p></td></tr><tr><td>ST_EMSD</td><td></td><td> 0 </td><td> 10000 </td><td>0.0001</td><td></td><td></td><td><p>Emissivity standard deviation. If 'PROCESSING_LEVEL' is set to 'L2SR', this band is fully masked out.</p></td></tr><tr><td>ST_QA</td><td>K</td><td> 0 </td><td> 32767 </td><td>0.01</td><td></td><td></td><td><p>Uncertainty of the Surface Temperature band. If 'PROCESSING_LEVEL' is set to 'L2SR', this band is fully masked out.</p></td></tr><tr><td>ST_TRAD</td><td>W/(m^2*sr*um)/ DN</td><td> 0 </td><td> 22000 </td><td>0.001</td><td></td><td></td><td><p>Thermal band converted to radiance. If 'PROCESSING_LEVEL' is set to 'L2SR', this band is fully masked out.</p></td></tr><tr><td>ST_URAD</td><td>W/(m^2*sr*um)/ DN</td><td> 0 </td><td> 28000 </td><td>0.001</td><td></td><td></td><td><p>Upwelled Radiance. If 'PROCESSING_LEVEL' is set to 'L2SR', this band is fully masked out.</p></td></tr><tr><td>QA_PIXEL</td><td></td><td></td><td></td><td></td><td></td><td></td><td><p>Pixel quality attributes generated from the CFMASK algorithm.</p></td></tr><tr><td colspan=100> Bitmask for QA_PIXEL <ul><li> Bit 0: Fill <ul></ul></li><li> Bit 1: Dilated Cloud <ul></ul></li><li> Bit 2: Cirrus (high confidence) <ul></ul></li><li> Bit 3: Cloud <ul></ul></li><li> Bit 4: Cloud Shadow <ul></ul></li><li> Bit 5: Snow <ul></ul></li><li> Bit 6: Clear <ul><li>0: Cloud or Dilated Cloud bits are set</li><li>1: Cloud and Dilated Cloud bits are not set</li></ul></li><li> Bit 7: Water <ul></ul></li><li> Bits 8-9: Cloud Confidence <ul><li>0: None</li><li>1: Low</li><li>2: Medium</li><li>3: High</li></ul></li><li> Bits 10-11: Cloud Shadow Confidence <ul><li>0: None</li><li>1: Low</li><li>2: Medium</li><li>3: High</li></ul></li><li> Bits 12-13: Snow/Ice Confidence <ul><li>0: None</li><li>1: Low</li><li>2: Medium</li><li>3: High</li></ul></li><li> Bits 14-15: Cirrus Confidence <ul><li>0: None</li><li>1: Low</li><li>2: Medium</li><li>3: High</li></ul></li></ul></td></tr><tr><td>QA_RADSAT</td><td></td><td></td><td></td><td></td><td></td><td></td><td><p>Radiometric saturation QA</p></td></tr><tr><td colspan=100> Bitmask for QA_RADSAT <ul><li> Bit 0: Band 1 data saturated <ul></ul></li><li> Bit 1: Band 2 data saturated <ul></ul></li><li> Bit 2: Band 3 data saturated <ul></ul></li><li> Bit 3: Band 4 data saturated <ul></ul></li><li> Bit 4: Band 5 data saturated <ul></ul></li><li> Bit 5: Band 6 data saturated <ul></ul></li><li> Bit 6: Band 7 data saturated <ul></ul></li><li> Bit 7: Unused <ul></ul></li><li> Bit 8: Band 9 data saturated <ul></ul></li><li> Bit 9: Unused <ul></ul></li><li> Bit 10: Unused <ul></ul></li><li> Bit 11: Terrain occlusion <ul></ul></li></ul></td></tr></table><p><b>Image Properties</b><table class="eecat"><tr><th scope="col">Name</th><th scope="col">Type</th><th scope="col">Description</th></tr><tr><td>ALGORITHM_SOURCE_SURFACE_REFLECTANCE</td><td>STRING</td><td><p>Name and version of the surface reflectance algorithm.</p></td></tr><tr><td>ALGORITHM_SOURCE_SURFACE_TEMPERATURE</td><td>STRING</td><td><p>Name and version of the surface temperature algorithm.</p></td></tr><tr><td>CLOUD_COVER</td><td>DOUBLE</td><td><p>Percentage cloud cover (0-100), -1 = not calculated.</p></td></tr><tr><td>CLOUD_COVER_LAND</td><td>DOUBLE</td><td><p>Percentage cloud cover over land (0-100), -1 = not calculated.</p></td></tr><tr><td>COLLECTION_CATEGORY</td><td>STRING</td><td><p>Scene collection category, "T1" or "T2".</p></td></tr><tr><td>DATA_SOURCE_AIR_TEMPERATURE</td><td>STRING</td><td><p>Air temperature data source.</p></td></tr><tr><td>DATA_SOURCE_ELEVATION</td><td>STRING</td><td><p>Elevation data source.</p></td></tr><tr><td>DATA_SOURCE_OZONE</td><td>STRING</td><td><p>Ozone data source.</p></td></tr><tr><td>DATA_SOURCE_PRESSURE</td><td>STRING</td><td><p>Pressure data source.</p></td></tr><tr><td>DATA_SOURCE_REANALYSIS</td><td>STRING</td><td><p>Reanalysis data source.</p></td></tr><tr><td>DATA_SOURCE_TIRS_STRAY_LIGHT_CORRECTION</td><td>STRING</td><td><p>TIRS stray light correction data source.</p></td></tr><tr><td>DATA_SOURCE_WATER_VAPOR</td><td>STRING</td><td><p>Water vapor data source.</p></td></tr><tr><td>DATE_PRODUCT_GENERATED</td><td>DOUBLE</td><td><p>Timestamp of the date when the product was generated.</p></td></tr><tr><td>EARTH_SUN_DISTANCE</td><td>DOUBLE</td><td><p>Earth-Sun distance (AU).</p></td></tr><tr><td>EPHEMERIS_TYPE</td><td>STRING</td><td><p>Identifier to inform the user of the orbital ephemeris type used: "DEFINITIVE" or "PREDICTIVE". If the field is not present, the user should assume "PREDICTIVE".</p></td></tr><tr><td>GEOMETRIC_RMSE_MODEL</td><td>DOUBLE</td><td><p>Combined RMSE (Root Mean Square Error) of the geometric residuals (meters) in both across-track and along-track directions.</p></td></tr><tr><td>GEOMETRIC_RMSE_MODEL_X</td><td>DOUBLE</td><td><p>RMSE (Root Mean Square Error) of the geometric residuals (meters) measured on the GCPs (Ground Control Points) used in geometric precision correction in the across-track direction.</p></td></tr><tr><td>GEOMETRIC_RMSE_MODEL_Y</td><td>DOUBLE</td><td><p>RMSE (Root Mean Square Error) of the geometric residuals (meters) measured on the GCPs (Ground Control Points) used in geometric precision correction in the along-track direction.</p></td></tr><tr><td>GEOMETRIC_RMSE_VERIFY</td><td>DOUBLE</td><td><p>RMSE of the geometric residuals (meters) measured on the terrain-corrected product independently using GLS2000.</p></td></tr><tr><td>GROUND_CONTROL_POINTS_MODEL</td><td>DOUBLE</td><td><p>Number of GCPs used in the precision correction process. This parameter is only present if the PROCESSING_LEVEL is L1TP.</p></td></tr><tr><td>GROUND_CONTROL_POINTS_VERIFY</td><td>DOUBLE</td><td><p>Number of GCPs (Ground Control Points) used in the verification of the terrain corrected product.</p></td></tr><tr><td>GROUND_CONTROL_POINTS_VERSION</td><td>DOUBLE</td><td><p>GCP dataset version used in the precision correction process. This parameter is only present if the PROCESSING_LEVEL is L1TP.</p></td></tr><tr><td>IMAGE_QUALITY_OLI</td><td>INT</td><td><p>Image quality of the OLI bands. 1 = worst, 9 = best, 0 = quality not calculated. For Landsat 8, this parameter is adjusted downward for scenes collected using the lower 12 bits from the OLI sensor (TRUNCATION_OLI = "LOWER").</p></td></tr><tr><td>IMAGE_QUALITY_TIRS</td><td>INT</td><td><p>Image quality of the TIRS bands. 1 = worst, 9 = best, 0 = quality not calculated. It is also adjusted downward for scenes processed with "SWITCHED" for the TIRS_SSM_POSITION_STATUS value.</p></td></tr><tr><td>L1_DATE_PRODUCT_GENERATED</td><td>STRING</td><td><p>Product generation date for the corresponding L1 product.</p></td></tr><tr><td>L1_LANDSAT_PRODUCT_ID</td><td>STRING</td><td><p>Landsat Product Identifier for the corresponding L1 product.</p></td></tr><tr><td>L1_PROCESSING_LEVEL</td><td>STRING</td><td><p>Processing Level for the corresponding L1 product.</p></td></tr><tr><td>L1_PROCESSING_SOFTWARE_VERSION</td><td>STRING</td><td><p>Processing software version for the corresponding L1 product.</p></td></tr><tr><td>LANDSAT_PRODUCT_ID</td><td>STRING</td><td><p>Landsat Product Identifier</p></td></tr><tr><td>LANDSAT_SCENE_ID</td><td>STRING</td><td><p>Short Landsat Scene Identifier</p></td></tr><tr><td>PROCESSING_LEVEL</td><td>STRING</td><td><p>"L2SP" when both SR and LST bands are present, or "L2SR" when only SR bands are present.</p></td></tr><tr><td>PROCESSING_SOFTWARE_VERSION</td><td>STRING</td><td><p>The processing software version that created the product.</p></td></tr><tr><td>ROLL_ANGLE</td><td>DOUBLE</td><td><p>The amount of spacecraft roll angle at the scene center. The roll value is given in the Yaw Steering Frame (YSF) reference, whose x-axis is aligned with the instantaneous ground track velocity vector. Rolls about this x-axis go by the right-hand rule: a positive roll results in the instruments pointing to the left of the ground track, while a negative roll results in the instrument pointing to the right.</p></td></tr><tr><td>SCENE_CENTER_TIME</td><td>STRING</td><td><p>Time of the observations as in ISO 8601 string.</p></td></tr><tr><td>SENSOR_ID</td><td>STRING</td><td><p>Name of the sensor.</p></td></tr><tr><td>SPACECRAFT_ID</td><td>STRING</td><td><p>Name of the spacecraft.</p></td></tr><tr><td>SUN_AZIMUTH</td><td>DOUBLE</td><td><p>Sun azimuth angle in degrees for the image center location at the image center acquisition time. A positive value indicates angles to the east or clockwise from the north. A negative value indicates angles to the west or counterclockwise from the north.</p></td></tr><tr><td>SUN_ELEVATION</td><td>DOUBLE</td><td><p>Sun elevation angle in degrees for the image center location at the image center acquisition time. A positive value indicates a daytime scene. A negative value indicates a nighttime scene. Note: For reflectance calculation, the sun zenith angle is needed, which is 90 - sun elevation angle.</p></td></tr><tr><td>TARGET_WRS_PATH</td><td>INT</td><td><p>Nearest WRS-2 path to the Line-ofSight (LOS) scene center of the image.</p></td></tr><tr><td>TARGET_WRS_ROW</td><td>INT</td><td><p>Nearest WRS-2 row to the LOS scene center of the image. Rows 880-889 are reserved for the north pole and 990-999 are reserved for the south pole, where WRS-2 is not defined.</p></td></tr><tr><td>TEMPERATURE_MAXIMUM_BAND_ST_B10</td><td>DOUBLE</td><td><p>Maximum achievable temperature value for Band 10.</p></td></tr><tr><td>TEMPERATURE_MINIMUM_BAND_ST_B10</td><td>DOUBLE</td><td><p>Minimum achievable temperature value for Band 10.</p></td></tr><tr><td>TIRS_SSM_MODEL</td><td>STRING</td><td><p>Indicates how the Landsat 8 TIRS Scene Select Mirror (SSM) position was determined.</p><ul><li><p>"FINAL" indicates final estimated encoder values generated after the switch event.</p></li><li><p>"ACTUAL" indicates actual encoder values.</p></li></ul></td></tr><tr><td>TIRS_SSM_POSITION_STATUS</td><td>STRING</td><td><ul><li><p>"NOMINAL" indicates the SSM was functioning normally for this scene.</p></li><li><p>"SWITCHED" indicates the SSM switched operating modes in the scene and may have TIRS image quality issues, which directly impact the IMAGE_QUALITY_TIRS value.</p></li><li><p>"ESTIMATED" indicates the SSM position was estimated, which may not be as accurate as the "NOMINAL" status.</p></li></ul></td></tr><tr><td>TRUNCATION_OLI</td><td>STRING</td><td><ul><li><p>"LOWER" indicates that the lower 12 bits were used.</p></li><li><p>"UPPER" indicates the upper 12 bits were used.</p></li></ul><p>The normal truncation mode is "UPPER".</p></td></tr><tr><td>WRS_PATH</td><td>INT</td><td><p>WRS path number of scene.</p></td></tr><tr><td>WRS_ROW</td><td>INT</td><td><p>WRS row number of scene.</p></td></tr></table><p><b>Terms of Use</b><br><p>Landsat datasets are federally created data and therefore reside in the public domain and may be used, transferred, or reproduced without copyright restriction.</p><p>Acknowledgement or credit of the USGS as data source should be provided by including a line of text citation such as the example shown below.</p><p>(Product, Image, Photograph, or Dataset Name) courtesy of the U.S. Geological Survey</p><p>Example: Landsat-7 image courtesy of the U.S. Geological Survey</p><p>See the <a href="https://www.usgs.gov/information-policies-and-instructions/usgs-visual-identity-system">USGS Visual Identity System Guidance</a> for further details on proper citation and acknowledgement of USGS products.</p><style> table.eecat { border: 1px solid black; border-collapse: collapse; font-size: 13px; } table.eecat td, tr, th { text-align: left; vertical-align: top; border: 1px solid gray; padding: 3px; } td.nobreak { white-space: nowrap; } </style>
keywords: List (11 elements)
- 0:cfmask
- 1:cloud
- 2:fmask
- 3:global
- 4:l8sr
- 5:landsat
- 6:lasrc
- 7:lst
- 8:reflectance
- 9:sr
- 10:usgs
- period:0
product_tags: List (10 elements)
- 0:global
- 1:sr
- 2:reflectance
- 3:l8sr
- 4:lst
- 5:cloud
- 6:lasrc
- 7:fmask
- 8:cfmask
- 9:lc08
- provider:USGS
- provider_url:https://www.usgs.gov/core-science-systems/nli/landsat/landsat-collection-2-level-2-science-products
- sample:https://mw1.google.com/ges/dd/images/LANDSAT_SR_sample.png
source_tags: ['landsat', 'usgs']
- 0:landsat
- 1:usgs
tags: List (11 elements)
- 0:cfmask
- 1:cloud
- 2:fmask
- 3:global
- 4:l8sr
- 5:landsat
- 6:lasrc
- 7:lst
- 8:reflectance
- 9:sr
- 10:usgs
- thumb:https://mw1.google.com/ges/dd/images/LANDSAT_SR_thumb.png
- title:USGS Landsat 8 Level 2, Collection 2, Tier 1
- type_name:ImageCollection
- visualization_0_bands:SR_B4,SR_B3,SR_B2
- visualization_0_max:30000.0
- visualization_0_min:0.0
- visualization_0_name:True Color (432)
- visualization_1_bands:SR_B5,SR_B4,SR_B3
- visualization_1_max:30000.0
- visualization_1_min:0.0
- visualization_1_name:Near Infrared (543)
- visualization_2_bands:SR_B7,SR_B5,SR_B3
- visualization_2_max:30000.0
- visualization_2_min:0.0
- visualization_2_name:Shortwave Infrared (753)
features: List (13 elements)
0: Image LANDSAT/LC08/C02/T1_L2/LC08_006014_20230707 (19 bands)
- type:Image
- id:LANDSAT/LC08/C02/T1_L2/LC08_006014_20230707
- version:1689698785470723
bands: List (19 elements)
0: "SR_B1", unsigned int16, EPSG:32622, 8271x8341 px
- id:SR_B1
- crs:EPSG:32622
crs_transform: [30, 0, 455385, 0, -30, 7399515]
- 0:30
- 1:0
- 2:455385
- 3:0
- 4:-30
- 5:7399515
data_type: unsigned int16
- type:PixelType
- max:65535
- min:0
- precision:int
dimensions: [8271, 8341]
- 0:8271
- 1:8341
1: "SR_B2", unsigned int16, EPSG:32622, 8271x8341 px
- id:SR_B2
- crs:EPSG:32622
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2: "SR_B3", unsigned int16, EPSG:32622, 8271x8341 px
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crs_transform: [30, 0, 455385, 0, -30, 7399515]
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3: "SR_B4", unsigned int16, EPSG:32622, 8271x8341 px
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4: "SR_B5", unsigned int16, EPSG:32622, 8271x8341 px
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crs_transform: [30, 0, 455385, 0, -30, 7399515]
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5: "SR_B6", unsigned int16, EPSG:32622, 8271x8341 px
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6: "SR_B7", unsigned int16, EPSG:32622, 8271x8341 px
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7: "SR_QA_AEROSOL", unsigned int8, EPSG:32622, 8271x8341 px
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crs_transform: [30, 0, 455385, 0, -30, 7399515]
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8: "ST_B10", unsigned int16, EPSG:32622, 8271x8341 px
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crs_transform: [30, 0, 455385, 0, -30, 7399515]
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9: "ST_ATRAN", signed int16, EPSG:32622, 8271x8341 px
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crs_transform: [30, 0, 455385, 0, -30, 7399515]
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10: "ST_CDIST", signed int16, EPSG:32622, 8271x8341 px
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crs_transform: [30, 0, 455385, 0, -30, 7399515]
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data_type: signed int16
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11: "ST_DRAD", signed int16, EPSG:32622, 8271x8341 px
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crs_transform: [30, 0, 455385, 0, -30, 7399515]
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data_type: signed int16
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12: "ST_EMIS", signed int16, EPSG:32622, 8271x8341 px
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crs_transform: [30, 0, 455385, 0, -30, 7399515]
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data_type: signed int16
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13: "ST_EMSD", signed int16, EPSG:32622, 8271x8341 px
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crs_transform: [30, 0, 455385, 0, -30, 7399515]
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data_type: signed int16
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14: "ST_QA", signed int16, EPSG:32622, 8271x8341 px
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data_type: signed int16
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15: "ST_TRAD", signed int16, EPSG:32622, 8271x8341 px
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data_type: signed int16
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16: "ST_URAD", signed int16, EPSG:32622, 8271x8341 px
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data_type: signed int16
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17: "QA_PIXEL", unsigned int16, EPSG:32622, 8271x8341 px
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data_type: unsigned int16
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18: "QA_RADSAT", unsigned int16, EPSG:32622, 8271x8341 px
- id:QA_RADSAT
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data_type: unsigned int16
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properties: Object (94 properties)
- ALGORITHM_SOURCE_SURFACE_REFLECTANCE:LaSRC_1.6.0
- ALGORITHM_SOURCE_SURFACE_TEMPERATURE:st_1.5.0
- CLOUD_COVER:49.88
- CLOUD_COVER_LAND:50.22
- COLLECTION_CATEGORY:T1
- COLLECTION_NUMBER:2
- DATA_SOURCE_AIR_TEMPERATURE:MODIS
- DATA_SOURCE_ELEVATION:GLS2000
- DATA_SOURCE_OZONE:MODIS
- DATA_SOURCE_PRESSURE:Calculated
- DATA_SOURCE_REANALYSIS:GEOS-5 FP-IT
- DATA_SOURCE_TIRS_STRAY_LIGHT_CORRECTION:TIRS
- DATA_SOURCE_WATER_VAPOR:MODIS
- DATE_ACQUIRED:2023-07-07
- DATE_PRODUCT_GENERATED:1689645361000
- DATUM:WGS84
- EARTH_SUN_DISTANCE:1.0166794
- ELLIPSOID:WGS84
- GEOMETRIC_RMSE_MODEL:4.709
- GEOMETRIC_RMSE_MODEL_X:3.152
- GEOMETRIC_RMSE_MODEL_Y:3.498
- GEOMETRIC_RMSE_VERIFY:1.708
- GRID_CELL_SIZE_REFLECTIVE:30
- GRID_CELL_SIZE_THERMAL:30
- GROUND_CONTROL_POINTS_MODEL:607
- GROUND_CONTROL_POINTS_VERIFY:89
- GROUND_CONTROL_POINTS_VERSION:5
- IMAGE_QUALITY_OLI:9
- IMAGE_QUALITY_TIRS:9
- L1_DATE_PRODUCT_GENERATED:2023-07-18T01:23:52Z
- L1_LANDSAT_PRODUCT_ID:LC08_L1TP_006014_20230707_20230718_02_T1
- L1_PROCESSING_LEVEL:L1TP
- L1_PROCESSING_SOFTWARE_VERSION:LPGS_16.3.0
- L1_REQUEST_ID:1760534_00014
- LANDSAT_PRODUCT_ID:LC08_L2SP_006014_20230707_20230718_02_T1
- LANDSAT_SCENE_ID:LC80060142023188LGN00
- MAP_PROJECTION:UTM
- NADIR_OFFNADIR:NADIR
- ORIENTATION:NORTH_UP
- PROCESSING_LEVEL:L2SP
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- REFLECTANCE_ADD_BAND_1:-0.2
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- REFLECTANCE_ADD_BAND_5:-0.2
- REFLECTANCE_ADD_BAND_6:-0.2
- REFLECTANCE_ADD_BAND_7:-0.2
- REFLECTANCE_MULT_BAND_1:2.75e-05
- REFLECTANCE_MULT_BAND_2:2.75e-05
- REFLECTANCE_MULT_BAND_3:2.75e-05
- REFLECTANCE_MULT_BAND_4:2.75e-05
- REFLECTANCE_MULT_BAND_5:2.75e-05
- REFLECTANCE_MULT_BAND_6:2.75e-05
- REFLECTANCE_MULT_BAND_7:2.75e-05
- REFLECTIVE_LINES:8341
- REFLECTIVE_SAMPLES:8271
- REQUEST_ID:1760534_00014
- ROLL_ANGLE:-0.001
- SATURATION_BAND_1:N
- SATURATION_BAND_2:N
- SATURATION_BAND_3:N
- SATURATION_BAND_4:N
- SATURATION_BAND_5:N
- SATURATION_BAND_6:N
- SATURATION_BAND_7:N
- SATURATION_BAND_8:N
- SATURATION_BAND_9:N
- SCENE_CENTER_TIME:14:42:56.3156030Z
- SENSOR_ID:OLI_TIRS
- SPACECRAFT_ID:LANDSAT_8
- STATION_ID:LGN
- SUN_AZIMUTH:166.83235651
- SUN_ELEVATION:46.5149191
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- TEMPERATURE_ADD_BAND_ST_B10:149
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- TEMPERATURE_MINIMUM_BAND_ST_B10:149.003418
- TEMPERATURE_MULT_BAND_ST_B10:0.00341802
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- TIRS_SSM_MODEL:FINAL
- TIRS_SSM_POSITION_STATUS:ESTIMATED
- TRUNCATION_OLI:UPPER
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- WRS_TYPE:2
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system:footprint: LinearRing (20 vertices)
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coordinates: List (20 elements)
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1: Image LANDSAT/LC08/C02/T1_L2/LC08_006014_20230723 (19 bands)
- type:Image
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bands: List (19 elements)
0: "SR_B1", unsigned int16, EPSG:32622, 8271x8341 px
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1: "SR_B2", unsigned int16, EPSG:32622, 8271x8341 px
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2: "SR_B3", unsigned int16, EPSG:32622, 8271x8341 px
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3: "SR_B4", unsigned int16, EPSG:32622, 8271x8341 px
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data_type: unsigned int16
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4: "SR_B5", unsigned int16, EPSG:32622, 8271x8341 px
- id:SR_B5
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5: "SR_B6", unsigned int16, EPSG:32622, 8271x8341 px
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data_type: unsigned int16
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6: "SR_B7", unsigned int16, EPSG:32622, 8271x8341 px
- id:SR_B7
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crs_transform: [30, 0, 455985, 0, -30, 7399515]
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data_type: unsigned int16
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dimensions: [8271, 8341]
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7: "SR_QA_AEROSOL", unsigned int8, EPSG:32622, 8271x8341 px
- id:SR_QA_AEROSOL
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data_type: unsigned int8
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8: "ST_B10", unsigned int16, EPSG:32622, 8271x8341 px
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9: "ST_ATRAN", signed int16, EPSG:32622, 8271x8341 px
- id:ST_ATRAN
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data_type: signed int16
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10: "ST_CDIST", signed int16, EPSG:32622, 8271x8341 px
- id:ST_CDIST
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crs_transform: [30, 0, 455985, 0, -30, 7399515]
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data_type: signed int16
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dimensions: [8271, 8341]
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11: "ST_DRAD", signed int16, EPSG:32622, 8271x8341 px
- id:ST_DRAD
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crs_transform: [30, 0, 455985, 0, -30, 7399515]
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data_type: signed int16
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dimensions: [8271, 8341]
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12: "ST_EMIS", signed int16, EPSG:32622, 8271x8341 px
- id:ST_EMIS
- crs:EPSG:32622
crs_transform: [30, 0, 455985, 0, -30, 7399515]
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data_type: signed int16
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dimensions: [8271, 8341]
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13: "ST_EMSD", signed int16, EPSG:32622, 8271x8341 px
- id:ST_EMSD
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crs_transform: [30, 0, 455985, 0, -30, 7399515]
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data_type: signed int16
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2: Image LANDSAT/LC08/C02/T1_L2/LC08_006014_20230808 (19 bands)
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3: Image LANDSAT/LC08/C02/T1_L2/LC08_006014_20230824 (19 bands)
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properties: Object (92 properties)
- ALGORITHM_SOURCE_SURFACE_REFLECTANCE:LaSRC_1.6.0
- ALGORITHM_SOURCE_SURFACE_TEMPERATURE:st_1.5.0
- CLOUD_COVER:89.94
- CLOUD_COVER_LAND:89.9
- COLLECTION_CATEGORY:T1
- COLLECTION_NUMBER:2
- DATA_SOURCE_AIR_TEMPERATURE:MODIS
- DATA_SOURCE_ELEVATION:GLS2000
- DATA_SOURCE_OZONE:MODIS
- DATA_SOURCE_PRESSURE:Calculated
- DATA_SOURCE_REANALYSIS:GEOS-5 FP-IT
- DATA_SOURCE_TIRS_STRAY_LIGHT_CORRECTION:TIRS
- DATA_SOURCE_WATER_VAPOR:MODIS
- DATE_ACQUIRED:2023-08-24
- DATE_PRODUCT_GENERATED:1693927181000
- DATUM:WGS84
- EARTH_SUN_DISTANCE:1.0110778
- ELLIPSOID:WGS84
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- GROUND_CONTROL_POINTS_MODEL:214
- GROUND_CONTROL_POINTS_VERSION:5
- IMAGE_QUALITY_OLI:9
- IMAGE_QUALITY_TIRS:9
- L1_DATE_PRODUCT_GENERATED:2023-09-05T14:48:24Z
- L1_LANDSAT_PRODUCT_ID:LC08_L1TP_006014_20230824_20230905_02_T1
- L1_PROCESSING_LEVEL:L1TP
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- LANDSAT_SCENE_ID:LC80060142023236LGN00
- MAP_PROJECTION:UTM
- NADIR_OFFNADIR:NADIR
- ORIENTATION:NORTH_UP
- PROCESSING_LEVEL:L2SP
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- REFLECTIVE_LINES:8341
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- REQUEST_ID:1782829_00014
- ROLL_ANGLE:-0.001
- SATURATION_BAND_1:N
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- SATURATION_BAND_7:N
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- SENSOR_ID:OLI_TIRS
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4: Image LANDSAT/LC08/C02/T1_L2/LC08_007013_20230730 (19 bands)
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7: "SR_QA_AEROSOL", unsigned int8, EPSG:32622, 8361x8411 px
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9: "ST_ATRAN", signed int16, EPSG:32622, 8361x8411 px
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crs_transform: [30, 0, 442485, 0, -30, 7551015]
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data_type: signed int16
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data_type: unsigned int16
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18: "QA_RADSAT", unsigned int16, EPSG:32622, 8361x8411 px
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crs_transform: [30, 0, 442485, 0, -30, 7551015]
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data_type: unsigned int16
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properties: Object (92 properties)
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- MAP_PROJECTION:UTM
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system:footprint: LinearRing (20 vertices)
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coordinates: List (20 elements)
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5: Image LANDSAT/LC08/C02/T1_L2/LC08_007013_20230815 (19 bands)
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bands: List (19 elements)
0: "SR_B1", unsigned int16, EPSG:32622, 8361x8411 px
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1: "SR_B2", unsigned int16, EPSG:32622, 8361x8411 px
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2: "SR_B3", unsigned int16, EPSG:32622, 8361x8411 px
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3: "SR_B4", unsigned int16, EPSG:32622, 8361x8411 px
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data_type: unsigned int16
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4: "SR_B5", unsigned int16, EPSG:32622, 8361x8411 px
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5: "SR_B6", unsigned int16, EPSG:32622, 8361x8411 px
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6: "SR_B7", unsigned int16, EPSG:32622, 8361x8411 px
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data_type: unsigned int16
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7: "SR_QA_AEROSOL", unsigned int8, EPSG:32622, 8361x8411 px
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data_type: unsigned int8
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8: "ST_B10", unsigned int16, EPSG:32622, 8361x8411 px
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9: "ST_ATRAN", signed int16, EPSG:32622, 8361x8411 px
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10: "ST_CDIST", signed int16, EPSG:32622, 8361x8411 px
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11: "ST_DRAD", signed int16, EPSG:32622, 8361x8411 px
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data_type: signed int16
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dimensions: [8361, 8411]
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12: "ST_EMIS", signed int16, EPSG:32622, 8361x8411 px
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crs_transform: [30, 0, 442485, 0, -30, 7551015]
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data_type: signed int16
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dimensions: [8361, 8411]
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data_type: signed int16
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14: "ST_QA", signed int16, EPSG:32622, 8361x8411 px
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15: "ST_TRAD", signed int16, EPSG:32622, 8361x8411 px
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16: "ST_URAD", signed int16, EPSG:32622, 8361x8411 px
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17: "QA_PIXEL", unsigned int16, EPSG:32622, 8361x8411 px
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13: [-49.64439048334218, 64.58468843733553]
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- 1:64.58468843733553
14: [-49.593679404455195, 64.63612637654005]
- 0:-49.593679404455195
- 1:64.63612637654005
15: [-48.5287967602834, 65.67989067149308]
- 0:-48.5287967602834
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16: [-48.438022506241644, 65.76486481785135]
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17: [-48.281406693910895, 65.91019583712107]
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18: [-48.107670541539285, 66.06939190265041]
- 0:-48.107670541539285
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19: [-51.70704940554283, 66.66356393708276]
- 0:-51.70704940554283
- 1:66.66356393708276
- system:index:LC08_007014_20230730
- system:time_end:1690728556426
- system:time_start:1690728556426
7: Image LANDSAT/LC08/C02/T1_L2/LC08_007014_20230815 (19 bands)
- type:Image
- id:LANDSAT/LC08/C02/T1_L2/LC08_007014_20230815
- version:1692488267209924
bands: List (19 elements)
0: "SR_B1", unsigned int16, EPSG:32622, 8371x8431 px
- id:SR_B1
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crs_transform: [30, 0, 382785, 0, -30, 7399815]
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data_type: unsigned int16
- type:PixelType
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dimensions: [8371, 8431]
- 0:8371
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1: "SR_B2", unsigned int16, EPSG:32622, 8371x8431 px
- id:SR_B2
- crs:EPSG:32622
crs_transform: [30, 0, 382785, 0, -30, 7399815]
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data_type: unsigned int16
- type:PixelType
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dimensions: [8371, 8431]
- 0:8371
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2: "SR_B3", unsigned int16, EPSG:32622, 8371x8431 px
- id:SR_B3
- crs:EPSG:32622
crs_transform: [30, 0, 382785, 0, -30, 7399815]
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data_type: unsigned int16
- type:PixelType
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dimensions: [8371, 8431]
- 0:8371
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3: "SR_B4", unsigned int16, EPSG:32622, 8371x8431 px
- id:SR_B4
- crs:EPSG:32622
crs_transform: [30, 0, 382785, 0, -30, 7399815]
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data_type: unsigned int16
- type:PixelType
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dimensions: [8371, 8431]
- 0:8371
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4: "SR_B5", unsigned int16, EPSG:32622, 8371x8431 px
- id:SR_B5
- crs:EPSG:32622
crs_transform: [30, 0, 382785, 0, -30, 7399815]
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data_type: unsigned int16
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dimensions: [8371, 8431]
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5: "SR_B6", unsigned int16, EPSG:32622, 8371x8431 px
- id:SR_B6
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crs_transform: [30, 0, 382785, 0, -30, 7399815]
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data_type: unsigned int16
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dimensions: [8371, 8431]
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6: "SR_B7", unsigned int16, EPSG:32622, 8371x8431 px
- id:SR_B7
- crs:EPSG:32622
crs_transform: [30, 0, 382785, 0, -30, 7399815]
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data_type: unsigned int16
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dimensions: [8371, 8431]
- 0:8371
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7: "SR_QA_AEROSOL", unsigned int8, EPSG:32622, 8371x8431 px
- id:SR_QA_AEROSOL
- crs:EPSG:32622
crs_transform: [30, 0, 382785, 0, -30, 7399815]
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data_type: unsigned int8
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dimensions: [8371, 8431]
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8: "ST_B10", unsigned int16, EPSG:32622, 8371x8431 px
- id:ST_B10
- crs:EPSG:32622
crs_transform: [30, 0, 382785, 0, -30, 7399815]
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data_type: unsigned int16
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dimensions: [8371, 8431]
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9: "ST_ATRAN", signed int16, EPSG:32622, 8371x8431 px
- id:ST_ATRAN
- crs:EPSG:32622
crs_transform: [30, 0, 382785, 0, -30, 7399815]
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data_type: signed int16
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dimensions: [8371, 8431]
- 0:8371
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10: "ST_CDIST", signed int16, EPSG:32622, 8371x8431 px
- id:ST_CDIST
- crs:EPSG:32622
crs_transform: [30, 0, 382785, 0, -30, 7399815]
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data_type: signed int16
- type:PixelType
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dimensions: [8371, 8431]
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11: "ST_DRAD", signed int16, EPSG:32622, 8371x8431 px
- id:ST_DRAD
- crs:EPSG:32622
crs_transform: [30, 0, 382785, 0, -30, 7399815]
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data_type: signed int16
- type:PixelType
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dimensions: [8371, 8431]
- 0:8371
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12: "ST_EMIS", signed int16, EPSG:32622, 8371x8431 px
- id:ST_EMIS
- crs:EPSG:32622
crs_transform: [30, 0, 382785, 0, -30, 7399815]
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data_type: signed int16
- type:PixelType
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dimensions: [8371, 8431]
- 0:8371
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13: "ST_EMSD", signed int16, EPSG:32622, 8371x8431 px
- id:ST_EMSD
- crs:EPSG:32622
crs_transform: [30, 0, 382785, 0, -30, 7399815]
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data_type: signed int16
- type:PixelType
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dimensions: [8371, 8431]
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14: "ST_QA", signed int16, EPSG:32622, 8371x8431 px
- id:ST_QA
- crs:EPSG:32622
crs_transform: [30, 0, 382785, 0, -30, 7399815]
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data_type: signed int16
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dimensions: [8371, 8431]
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15: "ST_TRAD", signed int16, EPSG:32622, 8371x8431 px
- id:ST_TRAD
- crs:EPSG:32622
crs_transform: [30, 0, 382785, 0, -30, 7399815]
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data_type: signed int16
- type:PixelType
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dimensions: [8371, 8431]
- 0:8371
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16: "ST_URAD", signed int16, EPSG:32622, 8371x8431 px
- id:ST_URAD
- crs:EPSG:32622
crs_transform: [30, 0, 382785, 0, -30, 7399815]
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data_type: signed int16
- type:PixelType
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dimensions: [8371, 8431]
- 0:8371
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17: "QA_PIXEL", unsigned int16, EPSG:32622, 8371x8431 px
- id:QA_PIXEL
- crs:EPSG:32622
crs_transform: [30, 0, 382785, 0, -30, 7399815]
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data_type: unsigned int16
- type:PixelType
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dimensions: [8371, 8431]
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18: "QA_RADSAT", unsigned int16, EPSG:32622, 8371x8431 px
- id:QA_RADSAT
- crs:EPSG:32622
crs_transform: [30, 0, 382785, 0, -30, 7399815]
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data_type: unsigned int16
- type:PixelType
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dimensions: [8371, 8431]
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properties: Object (94 properties)
- ALGORITHM_SOURCE_SURFACE_REFLECTANCE:LaSRC_1.6.0
- ALGORITHM_SOURCE_SURFACE_TEMPERATURE:st_1.5.0
- CLOUD_COVER:4.58
- CLOUD_COVER_LAND:5.02
- COLLECTION_CATEGORY:T1
- COLLECTION_NUMBER:2
- DATA_SOURCE_AIR_TEMPERATURE:MODIS
- DATA_SOURCE_ELEVATION:GLS2000
- DATA_SOURCE_OZONE:MODIS
- DATA_SOURCE_PRESSURE:Calculated
- DATA_SOURCE_REANALYSIS:GEOS-5 FP-IT
- DATA_SOURCE_TIRS_STRAY_LIGHT_CORRECTION:TIRS
- DATA_SOURCE_WATER_VAPOR:MODIS
- DATE_ACQUIRED:2023-08-15
- DATE_PRODUCT_GENERATED:1692424668000
- DATUM:WGS84
- EARTH_SUN_DISTANCE:1.0128891
- ELLIPSOID:WGS84
- GEOMETRIC_RMSE_MODEL:2.934
- GEOMETRIC_RMSE_MODEL_X:2.113
- GEOMETRIC_RMSE_MODEL_Y:2.034
- GEOMETRIC_RMSE_VERIFY:1.395
- GRID_CELL_SIZE_REFLECTIVE:30
- GRID_CELL_SIZE_THERMAL:30
- GROUND_CONTROL_POINTS_MODEL:1645
- GROUND_CONTROL_POINTS_VERIFY:240
- GROUND_CONTROL_POINTS_VERSION:5
- IMAGE_QUALITY_OLI:9
- IMAGE_QUALITY_TIRS:9
- L1_DATE_PRODUCT_GENERATED:2023-08-19T05:27:48Z
- L1_LANDSAT_PRODUCT_ID:LC08_L1TP_007014_20230815_20230819_02_T1
- L1_PROCESSING_LEVEL:L1TP
- L1_PROCESSING_SOFTWARE_VERSION:LPGS_16.3.0
- L1_REQUEST_ID:1775904_00014
- LANDSAT_PRODUCT_ID:LC08_L2SP_007014_20230815_20230819_02_T1
- LANDSAT_SCENE_ID:LC80070142023227LGN00
- MAP_PROJECTION:UTM
- NADIR_OFFNADIR:NADIR
- ORIENTATION:NORTH_UP
- PROCESSING_LEVEL:L2SP
- PROCESSING_SOFTWARE_VERSION:LPGS_16.3.0
- REFLECTANCE_ADD_BAND_1:-0.2
- REFLECTANCE_ADD_BAND_2:-0.2
- REFLECTANCE_ADD_BAND_3:-0.2
- REFLECTANCE_ADD_BAND_4:-0.2
- REFLECTANCE_ADD_BAND_5:-0.2
- REFLECTANCE_ADD_BAND_6:-0.2
- REFLECTANCE_ADD_BAND_7:-0.2
- REFLECTANCE_MULT_BAND_1:2.75e-05
- REFLECTANCE_MULT_BAND_2:2.75e-05
- REFLECTANCE_MULT_BAND_3:2.75e-05
- REFLECTANCE_MULT_BAND_4:2.75e-05
- REFLECTANCE_MULT_BAND_5:2.75e-05
- REFLECTANCE_MULT_BAND_6:2.75e-05
- REFLECTANCE_MULT_BAND_7:2.75e-05
- REFLECTIVE_LINES:8431
- REFLECTIVE_SAMPLES:8371
- REQUEST_ID:1775904_00014
- ROLL_ANGLE:-0.001
- SATURATION_BAND_1:N
- SATURATION_BAND_2:N
- SATURATION_BAND_3:N
- SATURATION_BAND_4:N
- SATURATION_BAND_5:N
- SATURATION_BAND_6:N
- SATURATION_BAND_7:N
- SATURATION_BAND_8:N
- SATURATION_BAND_9:N
- SCENE_CENTER_TIME:14:49:21.9487350Z
- SENSOR_ID:OLI_TIRS
- SPACECRAFT_ID:LANDSAT_8
- STATION_ID:LGN
- SUN_AZIMUTH:168.14299279
- SUN_ELEVATION:38.00352189
- TARGET_WRS_PATH:7
- TARGET_WRS_ROW:14
- TEMPERATURE_ADD_BAND_ST_B10:149
- TEMPERATURE_MAXIMUM_BAND_ST_B10:372.999941
- TEMPERATURE_MINIMUM_BAND_ST_B10:149.003418
- TEMPERATURE_MULT_BAND_ST_B10:0.00341802
- THERMAL_LINES:8431
- THERMAL_SAMPLES:8371
- TIRS_SSM_MODEL:FINAL
- TIRS_SSM_POSITION_STATUS:ESTIMATED
- TRUNCATION_OLI:UPPER
- UTM_ZONE:22
- WRS_PATH:7
- WRS_ROW:14
- WRS_TYPE:2
- system:asset_size:962053127
system:footprint: LinearRing (21 vertices)
- type:LinearRing
coordinates: List (21 elements)
0: [-53.4500932439671, 65.06222385844087]
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1: [-53.44866377150731, 65.06166546924177]
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- system:index:LC08_007014_20230815
- system:time_end:1692110961948
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8: Image LANDSAT/LC08/C02/T1_L2/LC08_008013_20230721 (19 bands)
- type:Image
- id:LANDSAT/LC08/C02/T1_L2/LC08_008013_20230721
- version:1691099019860994
bands: List (19 elements)
0: "SR_B1", unsigned int16, EPSG:32622, 8451x8501 px
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1: "SR_B2", unsigned int16, EPSG:32622, 8451x8501 px
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2: "SR_B3", unsigned int16, EPSG:32622, 8451x8501 px
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3: "SR_B4", unsigned int16, EPSG:32622, 8451x8501 px
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4: "SR_B5", unsigned int16, EPSG:32622, 8451x8501 px
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crs_transform: [30, 0, 374085, 0, -30, 7551615]
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5: "SR_B6", unsigned int16, EPSG:32622, 8451x8501 px
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crs_transform: [30, 0, 374085, 0, -30, 7551615]
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6: "SR_B7", unsigned int16, EPSG:32622, 8451x8501 px
- id:SR_B7
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crs_transform: [30, 0, 374085, 0, -30, 7551615]
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7: "SR_QA_AEROSOL", unsigned int8, EPSG:32622, 8451x8501 px
- id:SR_QA_AEROSOL
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crs_transform: [30, 0, 374085, 0, -30, 7551615]
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data_type: unsigned int8
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8: "ST_B10", unsigned int16, EPSG:32622, 8451x8501 px
- id:ST_B10
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crs_transform: [30, 0, 374085, 0, -30, 7551615]
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dimensions: [8451, 8501]
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9: "ST_ATRAN", signed int16, EPSG:32622, 8451x8501 px
- id:ST_ATRAN
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crs_transform: [30, 0, 374085, 0, -30, 7551615]
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data_type: signed int16
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dimensions: [8451, 8501]
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10: "ST_CDIST", signed int16, EPSG:32622, 8451x8501 px
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crs_transform: [30, 0, 374085, 0, -30, 7551615]
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data_type: signed int16
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dimensions: [8451, 8501]
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11: "ST_DRAD", signed int16, EPSG:32622, 8451x8501 px
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crs_transform: [30, 0, 374085, 0, -30, 7551615]
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data_type: signed int16
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12: "ST_EMIS", signed int16, EPSG:32622, 8451x8501 px
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data_type: signed int16
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13: "ST_EMSD", signed int16, EPSG:32622, 8451x8501 px
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crs_transform: [30, 0, 374085, 0, -30, 7551615]
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data_type: signed int16
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14: "ST_QA", signed int16, EPSG:32622, 8451x8501 px
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15: "ST_TRAD", signed int16, EPSG:32622, 8451x8501 px
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data_type: signed int16
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16: "ST_URAD", signed int16, EPSG:32622, 8451x8501 px
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crs_transform: [30, 0, 374085, 0, -30, 7551615]
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data_type: signed int16
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dimensions: [8451, 8501]
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crs_transform: [30, 0, 374085, 0, -30, 7551615]
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data_type: unsigned int16
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dimensions: [8451, 8501]
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18: "QA_RADSAT", unsigned int16, EPSG:32622, 8451x8501 px
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crs_transform: [30, 0, 374085, 0, -30, 7551615]
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data_type: unsigned int16
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dimensions: [8451, 8501]
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properties: Object (92 properties)
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- REQUEST_ID:1767372_00013
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- SATURATION_BAND_8:N
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- SENSOR_ID:OLI_TIRS
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system:footprint: LinearRing (22 vertices)
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coordinates: List (22 elements)
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9: Image LANDSAT/LC08/C02/T1_L2/LC08_008013_20230806 (19 bands)
- type:Image
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bands: List (19 elements)
0: "SR_B1", unsigned int16, EPSG:32622, 8451x8501 px
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1: "SR_B2", unsigned int16, EPSG:32622, 8451x8501 px
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data_type: unsigned int16
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2: "SR_B3", unsigned int16, EPSG:32622, 8451x8501 px
- id:SR_B3
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crs_transform: [30, 0, 373485, 0, -30, 7551615]
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data_type: unsigned int16
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3: "SR_B4", unsigned int16, EPSG:32622, 8451x8501 px
- id:SR_B4
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crs_transform: [30, 0, 373485, 0, -30, 7551615]
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data_type: unsigned int16
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dimensions: [8451, 8501]
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4: "SR_B5", unsigned int16, EPSG:32622, 8451x8501 px
- id:SR_B5
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crs_transform: [30, 0, 373485, 0, -30, 7551615]
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data_type: unsigned int16
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dimensions: [8451, 8501]
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5: "SR_B6", unsigned int16, EPSG:32622, 8451x8501 px
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crs_transform: [30, 0, 373485, 0, -30, 7551615]
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data_type: unsigned int16
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dimensions: [8451, 8501]
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6: "SR_B7", unsigned int16, EPSG:32622, 8451x8501 px
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crs_transform: [30, 0, 373485, 0, -30, 7551615]
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data_type: unsigned int16
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dimensions: [8451, 8501]
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7: "SR_QA_AEROSOL", unsigned int8, EPSG:32622, 8451x8501 px
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data_type: unsigned int8
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8: "ST_B10", unsigned int16, EPSG:32622, 8451x8501 px
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9: "ST_ATRAN", signed int16, EPSG:32622, 8451x8501 px
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data_type: signed int16
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dimensions: [8451, 8501]
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10: "ST_CDIST", signed int16, EPSG:32622, 8451x8501 px
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crs_transform: [30, 0, 373485, 0, -30, 7551615]
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data_type: signed int16
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dimensions: [8451, 8501]
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11: "ST_DRAD", signed int16, EPSG:32622, 8451x8501 px
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crs_transform: [30, 0, 373485, 0, -30, 7551615]
- 0:30
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data_type: signed int16
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dimensions: [8451, 8501]
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12: "ST_EMIS", signed int16, EPSG:32622, 8451x8501 px
- id:ST_EMIS
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crs_transform: [30, 0, 373485, 0, -30, 7551615]
- 0:30
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data_type: signed int16
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dimensions: [8451, 8501]
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13: "ST_EMSD", signed int16, EPSG:32622, 8451x8501 px
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crs_transform: [30, 0, 373485, 0, -30, 7551615]
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data_type: signed int16
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dimensions: [8451, 8501]
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14: "ST_QA", signed int16, EPSG:32622, 8451x8501 px
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crs_transform: [30, 0, 373485, 0, -30, 7551615]
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data_type: signed int16
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dimensions: [8451, 8501]
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15: "ST_TRAD", signed int16, EPSG:32622, 8451x8501 px
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crs_transform: [30, 0, 373485, 0, -30, 7551615]
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data_type: signed int16
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16: "ST_URAD", signed int16, EPSG:32622, 8451x8501 px
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crs_transform: [30, 0, 373485, 0, -30, 7551615]
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data_type: signed int16
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17: "QA_PIXEL", unsigned int16, EPSG:32622, 8451x8501 px
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crs_transform: [30, 0, 373485, 0, -30, 7551615]
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data_type: unsigned int16
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dimensions: [8451, 8501]
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18: "QA_RADSAT", unsigned int16, EPSG:32622, 8451x8501 px
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crs_transform: [30, 0, 373485, 0, -30, 7551615]
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dimensions: [8451, 8501]
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properties: Object (94 properties)
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- DATA_SOURCE_ELEVATION:GLS2000
- DATA_SOURCE_OZONE:MODIS
- DATA_SOURCE_PRESSURE:Calculated
- DATA_SOURCE_REANALYSIS:GEOS-5 FP-IT
- DATA_SOURCE_TIRS_STRAY_LIGHT_CORRECTION:TIRS
- DATA_SOURCE_WATER_VAPOR:MODIS
- DATE_ACQUIRED:2023-08-06
- DATE_PRODUCT_GENERATED:1691815900000
- DATUM:WGS84
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10: Image LANDSAT/LC08/C02/T1_L2/LC08_008013_20230822 (19 bands)
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properties: Object (94 properties)
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- system:time_end:1692716112753
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11: Image LANDSAT/LC08/C02/T1_L2/LC08_008014_20230806 (19 bands)
- type:Image
- id:LANDSAT/LC08/C02/T1_L2/LC08_008014_20230806
- version:1691893952984545
bands: List (19 elements)
0: "SR_B1", unsigned int16, EPSG:32622, 8461x8511 px
- id:SR_B1
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crs_transform: [30, 0, 310185, 0, -30, 7401615]
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data_type: unsigned int16
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dimensions: [8461, 8511]
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1: "SR_B2", unsigned int16, EPSG:32622, 8461x8511 px
- id:SR_B2
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crs_transform: [30, 0, 310185, 0, -30, 7401615]
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data_type: unsigned int16
- type:PixelType
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dimensions: [8461, 8511]
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2: "SR_B3", unsigned int16, EPSG:32622, 8461x8511 px
- id:SR_B3
- crs:EPSG:32622
crs_transform: [30, 0, 310185, 0, -30, 7401615]
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data_type: unsigned int16
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dimensions: [8461, 8511]
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3: "SR_B4", unsigned int16, EPSG:32622, 8461x8511 px
- id:SR_B4
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crs_transform: [30, 0, 310185, 0, -30, 7401615]
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data_type: unsigned int16
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dimensions: [8461, 8511]
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4: "SR_B5", unsigned int16, EPSG:32622, 8461x8511 px
- id:SR_B5
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crs_transform: [30, 0, 310185, 0, -30, 7401615]
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data_type: unsigned int16
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dimensions: [8461, 8511]
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5: "SR_B6", unsigned int16, EPSG:32622, 8461x8511 px
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crs_transform: [30, 0, 310185, 0, -30, 7401615]
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data_type: unsigned int16
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dimensions: [8461, 8511]
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6: "SR_B7", unsigned int16, EPSG:32622, 8461x8511 px
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crs_transform: [30, 0, 310185, 0, -30, 7401615]
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data_type: unsigned int16
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dimensions: [8461, 8511]
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7: "SR_QA_AEROSOL", unsigned int8, EPSG:32622, 8461x8511 px
- id:SR_QA_AEROSOL
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crs_transform: [30, 0, 310185, 0, -30, 7401615]
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data_type: unsigned int8
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dimensions: [8461, 8511]
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8: "ST_B10", unsigned int16, EPSG:32622, 8461x8511 px
- id:ST_B10
- crs:EPSG:32622
crs_transform: [30, 0, 310185, 0, -30, 7401615]
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data_type: unsigned int16
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dimensions: [8461, 8511]
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9: "ST_ATRAN", signed int16, EPSG:32622, 8461x8511 px
- id:ST_ATRAN
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crs_transform: [30, 0, 310185, 0, -30, 7401615]
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data_type: signed int16
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dimensions: [8461, 8511]
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10: "ST_CDIST", signed int16, EPSG:32622, 8461x8511 px
- id:ST_CDIST
- crs:EPSG:32622
crs_transform: [30, 0, 310185, 0, -30, 7401615]
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data_type: signed int16
- type:PixelType
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dimensions: [8461, 8511]
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11: "ST_DRAD", signed int16, EPSG:32622, 8461x8511 px
- id:ST_DRAD
- crs:EPSG:32622
crs_transform: [30, 0, 310185, 0, -30, 7401615]
- 0:30
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data_type: signed int16
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dimensions: [8461, 8511]
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12: "ST_EMIS", signed int16, EPSG:32622, 8461x8511 px
- id:ST_EMIS
- crs:EPSG:32622
crs_transform: [30, 0, 310185, 0, -30, 7401615]
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data_type: signed int16
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dimensions: [8461, 8511]
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13: "ST_EMSD", signed int16, EPSG:32622, 8461x8511 px
- id:ST_EMSD
- crs:EPSG:32622
crs_transform: [30, 0, 310185, 0, -30, 7401615]
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data_type: signed int16
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dimensions: [8461, 8511]
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14: "ST_QA", signed int16, EPSG:32622, 8461x8511 px
- id:ST_QA
- crs:EPSG:32622
crs_transform: [30, 0, 310185, 0, -30, 7401615]
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data_type: signed int16
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15: "ST_TRAD", signed int16, EPSG:32622, 8461x8511 px
- id:ST_TRAD
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crs_transform: [30, 0, 310185, 0, -30, 7401615]
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data_type: signed int16
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dimensions: [8461, 8511]
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16: "ST_URAD", signed int16, EPSG:32622, 8461x8511 px
- id:ST_URAD
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crs_transform: [30, 0, 310185, 0, -30, 7401615]
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data_type: signed int16
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dimensions: [8461, 8511]
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17: "QA_PIXEL", unsigned int16, EPSG:32622, 8461x8511 px
- id:QA_PIXEL
- crs:EPSG:32622
crs_transform: [30, 0, 310185, 0, -30, 7401615]
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data_type: unsigned int16
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dimensions: [8461, 8511]
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18: "QA_RADSAT", unsigned int16, EPSG:32622, 8461x8511 px
- id:QA_RADSAT
- crs:EPSG:32622
crs_transform: [30, 0, 310185, 0, -30, 7401615]
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data_type: unsigned int16
- type:PixelType
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dimensions: [8461, 8511]
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properties: Object (94 properties)
- ALGORITHM_SOURCE_SURFACE_REFLECTANCE:LaSRC_1.6.0
- ALGORITHM_SOURCE_SURFACE_TEMPERATURE:st_1.5.0
- CLOUD_COVER:1.15
- CLOUD_COVER_LAND:1.82
- COLLECTION_CATEGORY:T1
- COLLECTION_NUMBER:2
- DATA_SOURCE_AIR_TEMPERATURE:MODIS
- DATA_SOURCE_ELEVATION:GLS2000
- DATA_SOURCE_OZONE:MODIS
- DATA_SOURCE_PRESSURE:Calculated
- DATA_SOURCE_REANALYSIS:GEOS-5 FP-IT
- DATA_SOURCE_TIRS_STRAY_LIGHT_CORRECTION:TIRS
- DATA_SOURCE_WATER_VAPOR:MODIS
- DATE_ACQUIRED:2023-08-06
- DATE_PRODUCT_GENERATED:1691815901000
- DATUM:WGS84
- EARTH_SUN_DISTANCE:1.0143189
- ELLIPSOID:WGS84
- GEOMETRIC_RMSE_MODEL:2.595
- GEOMETRIC_RMSE_MODEL_X:1.707
- GEOMETRIC_RMSE_MODEL_Y:1.955
- GEOMETRIC_RMSE_VERIFY:1.321
- GRID_CELL_SIZE_REFLECTIVE:30
- GRID_CELL_SIZE_THERMAL:30
- GROUND_CONTROL_POINTS_MODEL:1448
- GROUND_CONTROL_POINTS_VERIFY:164
- GROUND_CONTROL_POINTS_VERSION:5
- IMAGE_QUALITY_OLI:9
- IMAGE_QUALITY_TIRS:9
- L1_DATE_PRODUCT_GENERATED:2023-08-12T04:23:08Z
- L1_LANDSAT_PRODUCT_ID:LC08_L1TP_008014_20230806_20230812_02_T1
- L1_PROCESSING_LEVEL:L1TP
- L1_PROCESSING_SOFTWARE_VERSION:LPGS_16.3.0
- L1_REQUEST_ID:1772550_00014
- LANDSAT_PRODUCT_ID:LC08_L2SP_008014_20230806_20230812_02_T1
- LANDSAT_SCENE_ID:LC80080142023218LGN00
- MAP_PROJECTION:UTM
- NADIR_OFFNADIR:NADIR
- ORIENTATION:NORTH_UP
- PROCESSING_LEVEL:L2SP
- PROCESSING_SOFTWARE_VERSION:LPGS_16.3.0
- REFLECTANCE_ADD_BAND_1:-0.2
- REFLECTANCE_ADD_BAND_2:-0.2
- REFLECTANCE_ADD_BAND_3:-0.2
- REFLECTANCE_ADD_BAND_4:-0.2
- REFLECTANCE_ADD_BAND_5:-0.2
- REFLECTANCE_ADD_BAND_6:-0.2
- REFLECTANCE_ADD_BAND_7:-0.2
- REFLECTANCE_MULT_BAND_1:2.75e-05
- REFLECTANCE_MULT_BAND_2:2.75e-05
- REFLECTANCE_MULT_BAND_3:2.75e-05
- REFLECTANCE_MULT_BAND_4:2.75e-05
- REFLECTANCE_MULT_BAND_5:2.75e-05
- REFLECTANCE_MULT_BAND_6:2.75e-05
- REFLECTANCE_MULT_BAND_7:2.75e-05
- REFLECTIVE_LINES:8511
- REFLECTIVE_SAMPLES:8461
- REQUEST_ID:1772550_00014
- ROLL_ANGLE:-0.001
- SATURATION_BAND_1:N
- SATURATION_BAND_2:N
- SATURATION_BAND_3:N
- SATURATION_BAND_4:N
- SATURATION_BAND_5:N
- SATURATION_BAND_6:N
- SATURATION_BAND_7:N
- SATURATION_BAND_8:N
- SATURATION_BAND_9:N
- SCENE_CENTER_TIME:14:55:29.0419639Z
- SENSOR_ID:OLI_TIRS
- SPACECRAFT_ID:LANDSAT_8
- STATION_ID:LGN
- SUN_AZIMUTH:167.37858729
- SUN_ELEVATION:40.61210096
- TARGET_WRS_PATH:8
- TARGET_WRS_ROW:14
- TEMPERATURE_ADD_BAND_ST_B10:149
- TEMPERATURE_MAXIMUM_BAND_ST_B10:372.999941
- TEMPERATURE_MINIMUM_BAND_ST_B10:149.003418
- TEMPERATURE_MULT_BAND_ST_B10:0.00341802
- THERMAL_LINES:8511
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- TIRS_SSM_MODEL:FINAL
- TIRS_SSM_POSITION_STATUS:ESTIMATED
- TRUNCATION_OLI:UPPER
- UTM_ZONE:22
- WRS_PATH:8
- WRS_ROW:14
- WRS_TYPE:2
- system:asset_size:856141681
system:footprint: LinearRing (21 vertices)
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coordinates: List (21 elements)
0: [-54.99536167655902, 65.06310301399802]
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1: [-54.995209258983984, 65.06208736173002]
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- system:index:LC08_008014_20230806
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12: Image LANDSAT/LC08/C02/T1_L2/LC08_008014_20230822 (19 bands)
- type:Image
- id:LANDSAT/LC08/C02/T1_L2/LC08_008014_20230822
- version:1693063701763751
bands: List (19 elements)
0: "SR_B1", unsigned int16, EPSG:32622, 8461x8521 px
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1: "SR_B2", unsigned int16, EPSG:32622, 8461x8521 px
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2: "SR_B3", unsigned int16, EPSG:32622, 8461x8521 px
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3: "SR_B4", unsigned int16, EPSG:32622, 8461x8521 px
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4: "SR_B5", unsigned int16, EPSG:32622, 8461x8521 px
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5: "SR_B6", unsigned int16, EPSG:32622, 8461x8521 px
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6: "SR_B7", unsigned int16, EPSG:32622, 8461x8521 px
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7: "SR_QA_AEROSOL", unsigned int8, EPSG:32622, 8461x8521 px
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8: "ST_B10", unsigned int16, EPSG:32622, 8461x8521 px
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9: "ST_ATRAN", signed int16, EPSG:32622, 8461x8521 px
- id:ST_ATRAN
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10: "ST_CDIST", signed int16, EPSG:32622, 8461x8521 px
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11: "ST_DRAD", signed int16, EPSG:32622, 8461x8521 px
- id:ST_DRAD
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crs_transform: [30, 0, 309885, 0, -30, 7401915]
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data_type: signed int16
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properties: Object (92 properties)
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Usually the best image will be the one with the least cloud cover. We can find the image with the least cloud cover by sorting the collection from least to most cloudy and selecting the first image. We will also clip this image to our search region, so we can focus on our study area.
image = image_collection.sort('CLOUD_COVER').first()
image = image.clip(region)
Now we’re ready to visualize this image. We use the Map function and include parameters to view a true color image (i.e. bands 4, 3, and 2 which are red, green, and blue).
Map = geemap.Map()
visParams = {'bands': ['SR_B4', 'SR_B3', 'SR_B2']}
Map.addLayer(image, visParams)
Map.centerObject(region, zoom=11)
Map
# Define name of folder and file
folder = 'ee-icecap'
region_name = 'Tasersiap-Sermia'
# Get the data of the image from the metadata
date_string = image.get('DATE_ACQUIRED').getInfo()
# Define filename
filename = region_name + '_' + date_string
# Export the image, specifying scale and region.
task = ee.batch.Export.image.toDrive(**{
'image': image.select(['SR_B4', 'SR_B3', 'SR_B2']),
'description': filename,
'folder': folder,
'scale': 30,
'region': region.getInfo()['coordinates']
})
task.start()
print(f'Exporting {filename}.tif to Google Drive...')
Exporting Tasersiap-Sermia_2023-08-08.tif to Google Drive...
Image analysis#
Often in remote sensing analysis, we use normalized difference indices to emphasize a specific land cover type. The Normalized Difference Snow Index (NDSI) can be used to distinguish snow from other surfaces like clouds, vegetation, and soil. We compute the NDSI using the Green and SWIR bands which correspond to Band 3 and Band 6 following this document.
\[
\text{NDSI} = \frac{(G - SWIR)}{(G + SWIR)}
\]
image.bandNames().getInfo()
['SR_B1',
'SR_B2',
'SR_B3',
'SR_B4',
'SR_B5',
'SR_B6',
'SR_B7',
'SR_QA_AEROSOL',
'ST_B10',
'ST_ATRAN',
'ST_CDIST',
'ST_DRAD',
'ST_EMIS',
'ST_EMSD',
'ST_QA',
'ST_TRAD',
'ST_URAD',
'QA_PIXEL',
'QA_RADSAT']
r_high = 'SR_B3' # relevant band name for r_high
r_low = 'SR_B6' # relevant band name for r_low
ndsi = image.normalizedDifference([r_high, r_low]).rename('NDSI')
ndsi
Image (1 band)
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Map = geemap.Map()
# Display NDSI
visParams = {'bands': ['NDSI'], 'min': -1, 'max': 1, 'palette': ['red', 'white', 'blue']}
Map.addLayer(ndsi, visParams)
# Add colorbar for NDSI
Map.add_colorbar(vis_params=visParams, label="NDSI Index", orientation='horizontal', position='bottomright')
Map.centerObject(region, zoom=11)
Map
Threshold image#
To compute the area of the ice cap, we need to produce a binary mask that determines whether pixels belong to the ice cap or not. We can do this using a thresholding approach. While this technique is conceptually simple, it is often challenging to identify an optimal threshold.
A good way to begin identifying a threshold is to produce a histogram of NDSI values in the scene. Below we will sample 10,000 pixels within the scene
import geemap.chart as chart
# Sample 10,000 pixels within the NDSI image
sample_pixels = ndsi.sample(region, numPixels=10000)
# Set labels for the graph
labels = {"title": 'Distribution of NDSI values within image'}
# Construct the histogram
chart.feature_histogram(sample_pixels, 'NDSI', **labels)
The histogram shows that the data has a bimodal distribution, with lots of land surface with NDSI values < 0 and the ice cap with NDSI values >0.6. There is also a large spike, presumably related to the river.
Note
The gt function denotes greater than. lt would be less than.
# Manually set a threshold
threshold = 0.2
# Threshold the image (ice cap is values greater than threshold)
ndsi_threshold = ndsi.gt(threshold)
# Mask data, showing only regions beyond the threshold.
ndsi_threshold = ndsi_threshold.updateMask(ndsi_threshold.neq(0))
We can visualize our classification by making it semi-transparent and overlaying it over our original true color image. Note that we also set values that are lower than the threshold to 0 so that they are fully-transparent.
Map = geemap.Map()
# Display colour image
max_reflectance = 0.8
visParams = {'bands': ['SR_B4', 'SR_B3', 'SR_B2']}
Map.addLayer(image, visParams, 'True Colour')
# Display NDSI
visParams = {'bands': 'NDSI', 'palette': ['white', 'cyan'], 'opacity': 0.3}
Map.addLayer(ndsi_threshold, visParams, 'NDSI')
Map.centerObject(region, zoom=11)
Map
Import shapefile#
This is a good start but it would be challenging to quantify the area of the ice cap because there are other features in the bounding box that have high NDSI values such as the river and several snow patches adjacent to the ice cap. To remove these features from our analysis, we can import a polygon which delineates the outer edge of the ice cap.
The Randolph Glacier Inventory (RGI) is a dataset that contains outlines of every glacier on Earth (excluding the ice sheets in Greenland and Antarctica) for the target year 2000.
We downloaded the RGI v7.0 and identified the outline of our ice cap. To use this file in Earth Engine, we have to import it as an Asset. We can can do this going to https://code.earthengine.google.com/, selecting Assets from the top-left sidebar, and clicking New –> Shape files under the Table Upload section. This will open a pop-up that will allow us to select the relevant files.
Note
Note that the .shp, .dbf, and .shx files are required. If the .prj file is not provided, WGS84 is assumed.
Give the table an appropriate Asset ID and click Upload.
# Import shapefile asset
outline = ee.FeatureCollection("projects/ee-icecap/assets/icecap")
outline
FeatureCollection projects/ee-icecap/assets/icecap (1 element, 8 columns)
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- id:projects/ee-icecap/assets/icecap
- version:1762269263368902
columns: Object (8 properties)
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properties: Object (1 property)
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features: List (1 element)
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coordinates: List (107 elements)
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- 0:-50.50062590403992
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6126: [-50.50063046088992, 66.157046990713]
- 0:-50.50063046088992
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6127: [-50.49996593075863, 66.15704699234242]
- 0:-50.49996593075863
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6128: [-50.499970494133464, 66.15677496737099]
- 0:-50.499970494133464
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6129: [-50.49930613853302, 66.15677501693685]
- 0:-50.49930613853302
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6130: [-50.49932841249188, 66.15569592763323]
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6131: [-50.50065717159119, 66.15570035331477]
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6132: [-50.50065261466995, 66.15597237719557]
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6133: [-50.501981553351854, 66.15597684029618]
- 0:-50.501981553351854
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6134: [-50.50198609726928, 66.15570481628761]
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6135: [-50.50265035657007, 66.15570922981911]
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6136: [-50.50264151863589, 66.15624885217682]
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6137: [-50.503305858534766, 66.15624878482924]
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6138: [-50.503301395780404, 66.15651633205529]
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6139: [-50.50396584209571, 66.15652079012828]
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6140: [-50.50396138575914, 66.15678833770164]
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6142: [-50.504621242504356, 66.15706040556488]
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6143: [-50.50528570079048, 66.15706485671437]
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6144: [-50.50529910179949, 66.15652532188275]
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6145: [-50.50795669966595, 66.15653414954113]
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6146: [-50.50796120802071, 66.15626224111054]
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6147: [-50.50929000236573, 66.15626669201232]
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6148: [-50.50930340437288, 66.15573157015284]
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6149: [-50.50664127315146, 66.15572268187076]
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6150: [-50.50665464829384, 66.15518314960106]
- 0:-50.50665464829384
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6151: [-50.50598586803823, 66.15518307982413]
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6152: [-50.506003693333845, 66.15437600335449]
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6153: [-50.50666800837852, 66.15437603462598]
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6154: [-50.506672439259, 66.15410848935564]
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6156: [-50.507345763117215, 66.15384094493103]
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6157: [-50.50801020973801, 66.153840903668]
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6158: [-50.5080057242968, 66.15411292622996]
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6159: [-50.50933448305145, 66.15411289857623]
- 0:-50.50933448305145
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6160: [-50.509321159570604, 66.15465242915113]
- 0:-50.509321159570604
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6161: [-50.50999000248735, 66.15465689315474]
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6163: [-50.51130979900353, 66.15519648021564]
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6165: [-50.51197882254396, 66.15492892285508]
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6166: [-50.511987750505455, 66.15439388185332]
- 0:-50.511987750505455
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6167: [-50.51332104003818, 66.15439826217205]
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6168: [-50.51332547340478, 66.15412623881502]
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6169: [-50.51266102497593, 66.15412630826772]
- 0:-50.51266102497593
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6170: [-50.51266546486842, 66.15385428526346]
- 0:-50.51266546486842
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6171: [-50.51000343479194, 66.15384983033519]
- 0:-50.51000343479194
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6172: [-50.51001229969324, 66.15331026314287]
- 0:-50.51001229969324
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6173: [-50.50735467959665, 66.15330137824296]
- 0:-50.50735467959665
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6174: [-50.50735025508309, 66.15356892272213]
- 0:-50.50735025508309
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6175: [-50.506685959949735, 66.15356889518415]
- 0:-50.506685959949735
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6176: [-50.50669031282701, 66.1532969386617]
- 0:-50.50669031282701
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6177: [-50.5060260235685, 66.15329690765698]
- 0:-50.5060260235685
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6178: [-50.506034965927, 66.15275734237]
- 0:-50.506034965927
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6179: [-50.505370374687544, 66.15275732189617]
- 0:-50.505370374687544
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6180: [-50.50537933003521, 66.15221775787955]
- 0:-50.50537933003521
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6181: [-50.50471491970155, 66.15221778539285]
- 0:-50.50471491970155
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6182: [-50.50475944728046, 66.15006404400744]
- 0:-50.50475944728046
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6183: [-50.504095155803505, 66.15005959114832]
- 0:-50.504095155803505
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6184: [-50.50409961249467, 66.14979205067529]
- 0:-50.50409961249467
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6185: [-50.503435258876365, 66.14979207172486]
- 0:-50.503435258876365
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6186: [-50.50345307906938, 66.14871290680166]
- 0:-50.50345307906938
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6187: [-50.50411740690745, 66.14871288550951]
- 0:-50.50411740690745
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6188: [-50.50413076535628, 66.14817784607357]
- 0:-50.50413076535628
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6189: [-50.5047952483926, 66.14817787250371]
- 0:-50.5047952483926
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6190: [-50.50479969880781, 66.14791033395784]
- 0:-50.50479969880781
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6191: [-50.5054640062213, 66.14791030540381]
- 0:-50.5054640062213
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6192: [-50.505468450268445, 66.14764276708033]
- 0:-50.505468450268445
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6193: [-50.5061329971596, 66.14764719833539]
- 0:-50.5061329971596
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6194: [-50.50614194721067, 66.14737522120822]
- 0:-50.50614194721067
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6195: [-50.50547289433823, 66.14737522903957]
- 0:-50.50547289433823
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6196: [-50.50548199645594, 66.14710318695863]
- 0:-50.50548199645594
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6197: [-50.50481753972405, 66.14710316432442]
- 0:-50.50481753972405
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6198: [-50.50485317293147, 66.1452169634747]
- 0:-50.50485317293147
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6199: [-50.50418878365404, 66.14521705448257]
- 0:-50.50418878365404
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6200: [-50.50419759705541, 66.14467745537645]
- 0:-50.50419759705541
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6201: [-50.50353336561427, 66.14467747764809]
- 0:-50.50353336561427
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6202: [-50.50357782857716, 66.14252375003953]
- 0:-50.50357782857716
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6203: [-50.502244608413505, 66.14251923191247]
- 0:-50.502244608413505
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6204: [-50.50225352861886, 66.14225173803219]
- 0:-50.50225352861886
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6205: [-50.50158910755483, 66.14224728700499]
- 0:-50.50158910755483
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6206: [-50.50159342168768, 66.1419797036324]
- 0:-50.50159342168768
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6207: [-50.50092915217299, 66.1419751838169]
- 0:-50.50092915217299
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6208: [-50.50093364128389, 66.14170765219033]
- 0:-50.50093364128389
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6209: [-50.50292685703748, 66.14171211575481]
- 0:-50.50292685703748
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1: List (4 elements)
0: [-50.42311777474328, 66.20222213686813]
- 0:-50.42311777474328
- 1:66.20222213686813
1: [-50.422926164009475, 66.20226228453883]
- 0:-50.422926164009475
- 1:66.20226228453883
2: [-50.423113434247966, 66.20226671932227]
- 0:-50.423113434247966
- 1:66.20226671932227
3: [-50.42311777474328, 66.20222213686813]
- 0:-50.42311777474328
- 1:66.20222213686813
2: List (4 elements)
0: [-50.42450900278992, 66.19957790003305]
- 0:-50.42450900278992
- 1:66.19957790003305
1: [-50.42412114600388, 66.19957791858413]
- 0:-50.42412114600388
- 1:66.19957791858413
2: [-50.42450471158506, 66.19972056825372]
- 0:-50.42450471158506
- 1:66.19972056825372
3: [-50.42450900278992, 66.19957790003305]
- 0:-50.42450900278992
- 1:66.19957790003305
3: List (4 elements)
0: [-50.27409021743861, 66.19436967696565]
- 0:-50.27409021743861
- 1:66.19436967696565
1: [-50.27394751658952, 66.19436966531293]
- 0:-50.27394751658952
- 1:66.19436966531293
2: [-50.27408569935241, 66.19449006017288]
- 0:-50.27408569935241
- 1:66.19449006017288
3: [-50.27409021743861, 66.19436967696565]
- 0:-50.27409021743861
- 1:66.19436967696565
4: List (5 elements)
0: [-50.4885195673179, 66.19684002409805]
- 0:-50.4885195673179
- 1:66.19684002409805
1: [-50.48851504749431, 66.19711202553735]
- 0:-50.48851504749431
- 1:66.19711202553735
2: [-50.489183863394395, 66.19711200269434]
- 0:-50.489183863394395
- 1:66.19711200269434
3: [-50.48918830644677, 66.19684447937146]
- 0:-50.48918830644677
- 1:66.19684447937146
4: [-50.4885195673179, 66.19684002409805]
- 0:-50.4885195673179
- 1:66.19684002409805
5: List (5 elements)
0: [-50.488653327748764, 66.19038320734512]
- 0:-50.488653327748764
- 1:66.19038320734512
1: [-50.487984429080974, 66.19037876411267]
- 0:-50.487984429080974
- 1:66.19037876411267
2: [-50.48797990241213, 66.19065075861657]
- 0:-50.48797990241213
- 1:66.19065075861657
3: [-50.48864444926978, 66.19065080161626]
- 0:-50.48864444926978
- 1:66.19065080161626
4: [-50.488653327748764, 66.19038320734512]
- 0:-50.488653327748764
- 1:66.19038320734512
6: List (5 elements)
0: [-50.51225081595452, 66.1753872886876]
- 0:-50.51225081595452
- 1:66.1753872886876
1: [-50.511581959194864, 66.17538287097376]
- 0:-50.511581959194864
- 1:66.17538287097376
2: [-50.511573112701726, 66.17592236866034]
- 0:-50.511573112701726
- 1:66.17592236866034
3: [-50.512237387525545, 66.17592681372673]
- 0:-50.512237387525545
- 1:66.17592681372673
4: [-50.51225081595452, 66.1753872886876]
- 0:-50.51225081595452
- 1:66.1753872886876
7: List (5 elements)
0: [-50.411073836058, 66.20437146312155]
- 0:-50.411073836058
- 1:66.20437146312155
1: [-50.410405009669255, 66.20437146984999]
- 0:-50.410405009669255
- 1:66.20437146984999
2: [-50.4104004387732, 66.20463896631536]
- 0:-50.4104004387732
- 1:66.20463896631536
3: [-50.4110649033193, 66.20464344762759]
- 0:-50.4110649033193
- 1:66.20464344762759
4: [-50.411073836058, 66.20437146312155]
- 0:-50.411073836058
- 1:66.20437146312155
8: List (5 elements)
0: [-50.409753905380136, 66.20382745366449]
- 0:-50.409753905380136
- 1:66.20382745366449
1: [-50.40775182870696, 66.20382295438452]
- 0:-50.40775182870696
- 1:66.20382295438452
2: [-50.4077474009051, 66.20409050157268]
- 0:-50.4077474009051
- 1:66.20409050157268
3: [-50.409744959652535, 66.20409943742524]
- 0:-50.409744959652535
- 1:66.20409943742524
4: [-50.409753905380136, 66.20382745366449]
- 0:-50.409753905380136
- 1:66.20382745366449
9: List (5 elements)
0: [-50.395244061864204, 66.19758469372205]
- 0:-50.395244061864204
- 1:66.19758469372205
1: [-50.39523505874301, 66.19785219094658]
- 0:-50.39523505874301
- 1:66.19785219094658
2: [-50.39590397179821, 66.19785672868218]
- 0:-50.39590397179821
- 1:66.19785672868218
3: [-50.39590843175517, 66.19758465948874]
- 0:-50.39590843175517
- 1:66.19758465948874
4: [-50.395244061864204, 66.19758469372205]
- 0:-50.395244061864204
- 1:66.19758469372205
10: List (5 elements)
0: [-50.49905643697261, 66.13578152821397]
- 0:-50.49905643697261
- 1:66.13578152821397
1: [-50.49839185380428, 66.13577707512474]
- 0:-50.49839185380428
- 1:66.13577707512474
2: [-50.49838743834661, 66.1360491287516]
- 0:-50.49838743834661
- 1:66.1360491287516
3: [-50.49905192837655, 66.13604905338687]
- 0:-50.49905192837655
- 1:66.13604905338687
4: [-50.49905643697261, 66.13578152821397]
- 0:-50.49905643697261
- 1:66.13578152821397
11: List (5 elements)
0: [-50.48646390876658, 66.1341227816809]
- 0:-50.48646390876658
- 1:66.1341227816809
1: [-50.48646837035888, 66.13385520829014]
- 0:-50.48646837035888
- 1:66.13385520829014
2: [-50.48580399189687, 66.13385074001405]
- 0:-50.48580399189687
- 1:66.13385074001405
3: [-50.48579945288758, 66.13412279040573]
- 0:-50.48579945288758
- 1:66.13412279040573
4: [-50.48646390876658, 66.1341227816809]
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12: List (5 elements)
0: [-50.47939611469301, 66.12225707649385]
- 0:-50.47939611469301
- 1:66.12225707649385
1: [-50.47939182414959, 66.12252909989417]
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2: [-50.48005615500813, 66.12252905834629]
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3: [-50.48006053547026, 66.12226156315427]
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4: [-50.47939611469301, 66.12225707649385]
- 0:-50.47939611469301
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13: List (5 elements)
0: [-50.47939611469301, 66.12225707649385]
- 0:-50.47939611469301
- 1:66.12225707649385
1: [-50.47940954679575, 66.12171758419385]
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2: [-50.47808065746023, 66.12171307742223]
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3: [-50.47806736800236, 66.12225262084652]
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4: [-50.47939611469301, 66.12225707649385]
- 0:-50.47939611469301
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14: List (5 elements)
0: [-50.46950588418862, 66.11872552945874]
- 0:-50.46950588418862
- 1:66.11872552945874
1: [-50.4695014014661, 66.11899301993346]
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2: [-50.47016589755789, 66.11899749340884]
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3: [-50.47017027912837, 66.1187254746662]
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4: [-50.46950588418862, 66.11872552945874]
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15: List (5 elements)
0: [-50.30401515778251, 66.19612211943839]
- 0:-50.30401515778251
- 1:66.19612211943839
1: [-50.30335082871951, 66.19612213367725]
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2: [-50.30334190657037, 66.19638969399925]
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3: [-50.304010741763335, 66.19639413815975]
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4: [-50.30401515778251, 66.19612211943839]
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16: List (5 elements)
0: [-50.28576861011665, 66.18177719339951]
- 0:-50.28576861011665
- 1:66.18177719339951
1: [-50.28510424949545, 66.18177271364824]
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2: [-50.285095318985626, 66.1820403083236]
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3: [-50.285764115117246, 66.18204471756516]
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4: [-50.28576861011665, 66.18177719339951]
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17: List (5 elements)
0: [-50.28309751452087, 66.18203134405644]
- 0:-50.28309751452087
- 1:66.18203134405644
1: [-50.28243331430599, 66.18202690179669]
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2: [-50.28242423233548, 66.18229885722293]
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3: [-50.28309316231777, 66.18229891995057]
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4: [-50.28309751452087, 66.18203134405644]
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18: List (5 elements)
0: [-50.246270017493956, 66.1891257646104]
- 0:-50.246270017493956
- 1:66.1891257646104
1: [-50.244272373492244, 66.1891168519964]
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2: [-50.24426336475525, 66.18938443597075]
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3: [-50.24626102801324, 66.18939334884298]
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4: [-50.246270017493956, 66.1891257646104]
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19: List (5 elements)
0: [-50.41491317145219, 66.09591715439981]
- 0:-50.41491317145219
- 1:66.09591715439981
1: [-50.41491753360519, 66.09564960431148]
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2: [-50.41359324115785, 66.09564515073843]
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3: [-50.4135842838222, 66.09591272437078]
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4: [-50.41491317145219, 66.09591715439981]
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20: List (5 elements)
0: [-50.23893915309013, 66.18935770225491]
- 0:-50.23893915309013
- 1:66.18935770225491
1: [-50.23827033668266, 66.18935321038313]
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2: [-50.23826590502259, 66.18962518932425]
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3: [-50.238930239440094, 66.1896252207907]
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4: [-50.23893915309013, 66.18935770225491]
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21: List (5 elements)
0: [-50.38603607441538, 66.1103423859758]
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- 1:66.1103423859758
1: [-50.386026998998, 66.11060990661858]
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2: [-50.38669143671281, 66.11061440734342]
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3: [-50.38669583957763, 66.11034238124643]
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4: [-50.38603607441538, 66.1103423859758]
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22: List (5 elements)
0: [-50.23761473051861, 66.18908119299502]
- 0:-50.23761473051861
- 1:66.18908119299502
1: [-50.23695040793156, 66.18908115462169]
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2: [-50.236941328614726, 66.18934873764401]
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3: [-50.237606008178375, 66.18935317545186]
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4: [-50.23761473051861, 66.18908119299502]
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23: List (5 elements)
0: [-50.41226436425837, 66.09564070673797]
- 0:-50.41226436425837
- 1:66.09564070673797
1: [-50.411599966598715, 66.09563624130077]
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2: [-50.41159557259687, 66.09590379107802]
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3: [-50.41225997663521, 66.09590825657948]
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4: [-50.41226436425837, 66.09564070673797]
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24: List (5 elements)
0: [-50.41295563958882, 66.09456608880268]
- 0:-50.41295563958882
- 1:66.09456608880268
1: [-50.41229126806297, 66.0945616272084]
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2: [-50.41228236069264, 66.09483361056185]
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3: [-50.41294667604735, 66.09483366120061]
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4: [-50.41295563958882, 66.09456608880268]
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25: List (5 elements)
0: [-50.41094006776865, 66.09563622502355]
- 0:-50.41094006776865
- 1:66.09563622502355
1: [-50.41027552364233, 66.09563181774632]
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2: [-50.41027111692601, 66.09589936740016]
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3: [-50.41093108494514, 66.09590379831141]
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4: [-50.41094006776865, 66.09563622502355]
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26: List (5 elements)
0: [-50.232032073098104, 66.17559685389814]
- 0:-50.232032073098104
- 1:66.17559685389814
1: [-50.231363121457456, 66.17559240546144]
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2: [-50.23135419042013, 66.17586443774478]
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3: [-50.232022945602196, 66.17586442212767]
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4: [-50.232032073098104, 66.17559685389814]
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27: List (5 elements)
0: [-50.23272761540696, 66.17452226400881]
- 0:-50.23272761540696
- 1:66.17452226400881
1: [-50.232063321496604, 66.17452221486593]
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2: [-50.23205419424039, 66.1747897819679]
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3: [-50.23271867574633, 66.17479417853725]
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4: [-50.23272761540696, 66.17452226400881]
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28: List (5 elements)
0: [-50.23340996909955, 66.173987124167]
- 0:-50.23340996909955
- 1:66.173987124167
1: [-50.23208105805626, 66.17398263064369]
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2: [-50.23207209926579, 66.17425024894503]
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3: [-50.23340088966596, 66.1742591032235]
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4: [-50.23340996909955, 66.173987124167]
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29: List (5 elements)
0: [-50.22802766902226, 66.17584655175213]
- 0:-50.22802766902226
- 1:66.17584655175213
1: [-50.22801881773264, 66.17611410650292]
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2: [-50.22868778439203, 66.17611857288688]
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3: [-50.22869203230235, 66.17585103485986]
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4: [-50.22802766902226, 66.17584655175213]
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30: List (5 elements)
0: [-50.23073006628529, 66.1745132981866]
- 0:-50.23073006628529
- 1:66.1745132981866
1: [-50.23006542170917, 66.17450883933574]
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2: [-50.23005662431285, 66.1747808052853]
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3: [-50.23072092618532, 66.17478086511177]
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4: [-50.23073006628529, 66.1745132981866]
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31: List (5 elements)
0: [-50.22477703828955, 66.17340747111821]
- 0:-50.22477703828955
- 1:66.17340747111821
1: [-50.22476815552858, 66.17367502289954]
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2: [-50.22543261573325, 66.17367945797646]
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3: [-50.22544149209417, 66.17341190610843]
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4: [-50.22477703828955, 66.17340747111821]
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32: List (5 elements)
0: [-50.21935043242159, 66.17660907691956]
- 0:-50.21935043242159
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1: [-50.21868578386049, 66.1766090865058]
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2: [-50.21867698909806, 66.176876575906]
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3: [-50.219345812650516, 66.17688104053705]
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4: [-50.21935043242159, 66.17660907691956]
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33: List (5 elements)
0: [-50.212715260004, 66.17603828864178]
- 0:-50.212715260004
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1: [-50.21071747396632, 66.17602941816743]
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2: [-50.21070860242934, 66.17629690597757]
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3: [-50.21270626122841, 66.17630584169892]
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4: [-50.212715260004, 66.17603828864178]
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34: List (5 elements)
0: [-50.39424072074887, 66.0724221699981]
- 0:-50.39424072074887
- 1:66.0724221699981
1: [-50.39357631712579, 66.07242216685604]
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2: [-50.393571912724, 66.07268974163286]
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3: [-50.394231803430756, 66.07269417845508]
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4: [-50.39424072074887, 66.0724221699981]
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35: List (5 elements)
0: [-50.31689766772247, 66.11382049285157]
- 0:-50.31689766772247
- 1:66.11382049285157
1: [-50.31690212343643, 66.11354849666925]
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2: [-50.31624211799902, 66.11354843083295]
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3: [-50.31623316810322, 66.11381597059777]
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4: [-50.31689766772247, 66.11382049285157]
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36: List (5 elements)
0: [-50.31624211799902, 66.11354843083295]
- 0:-50.31624211799902
- 1:66.11354843083295
1: [-50.31624658017788, 66.11327643500468]
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2: [-50.31491769722793, 66.11327202500286]
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3: [-50.314913320653666, 66.11353954427807]
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4: [-50.31624211799902, 66.11354843083295]
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37: List (5 elements)
0: [-50.31491769722793, 66.11327202500286]
- 0:-50.31491769722793
- 1:66.11327202500286
1: [-50.31492665980255, 66.11300448598239]
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2: [-50.314262346256534, 66.11300000500844]
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3: [-50.314253377297646, 66.11326754394096]
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4: [-50.31491769722793, 66.11327202500286]
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38: List (5 elements)
0: [-50.31229132147931, 66.11218402507315]
- 0:-50.31229132147931
- 1:66.11218402507315
1: [-50.31228691943198, 66.11245154295513]
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2: [-50.31294678136961, 66.11245598921441]
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3: [-50.31295576293925, 66.11218845131066]
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4: [-50.31229132147931, 66.11218402507315]
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39: List (5 elements)
0: [-50.37370214022614, 66.0720699147226]
- 0:-50.37370214022614
- 1:66.0720699147226
1: [-50.37303774852197, 66.07206991892716]
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2: [-50.37302871370227, 66.07233744851334]
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3: [-50.37369319044227, 66.07234197173209]
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4: [-50.37370214022614, 66.0720699147226]
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40: List (5 elements)
0: [-50.18185815862414, 66.162687771215]
- 0:-50.18185815862414
- 1:66.162687771215
1: [-50.183855959866534, 66.16270111896267]
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2: [-50.18386472742622, 66.16242913305092]
- 0:-50.18386472742622
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3: [-50.18186714052794, 66.16242024950405]
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4: [-50.18185815862414, 66.162687771215]
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41: List (5 elements)
0: [-50.18185815862414, 66.162687771215]
- 0:-50.18185815862414
- 1:66.162687771215
1: [-50.18052933021649, 66.16268327872915]
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2: [-50.18052050362267, 66.16295085238346]
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3: [-50.18185365190576, 66.1629597551784]
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4: [-50.18185815862414, 66.162687771215]
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42: List (5 elements)
0: [-50.34604674593358, 66.06469015024597]
- 0:-50.34604674593358
- 1:66.06469015024597
1: [-50.345386885071754, 66.06468564156684]
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2: [-50.34537780408514, 66.06495762176446]
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3: [-50.346042342987786, 66.06495763371029]
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4: [-50.34604674593358, 66.06469015024597]
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43: List (5 elements)
0: [-50.18641980002204, 66.14494942996072]
- 0:-50.18641980002204
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1: [-50.18708420952965, 66.14495392130173]
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2: [-50.1870930931899, 66.14468188912348]
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3: [-50.186428739086445, 66.14468192644608]
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4: [-50.18641980002204, 66.14494942996072]
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44: List (5 elements)
0: [-50.18641980002204, 66.14494942996072]
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1: [-50.18575555821155, 66.14494498691042]
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2: [-50.18574646630261, 66.1452125555731]
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3: [-50.18641102896109, 66.14521698557704]
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4: [-50.18641980002204, 66.14494942996072]
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45: List (5 elements)
0: [-50.16954216498049, 66.15293571730805]
- 0:-50.16954216498049
- 1:66.15293571730805
1: [-50.168208871554526, 66.15292682925723]
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2: [-50.16820007224359, 66.15319432614886]
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3: [-50.16952878490584, 66.15320322902892]
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4: [-50.16954216498049, 66.15293571730805]
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46: List (5 elements)
0: [-50.34154307497021, 66.05955764638715]
- 0:-50.34154307497021
- 1:66.05955764638715
1: [-50.340878609454094, 66.05955320079504]
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2: [-50.34087422901834, 66.05982520536422]
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3: [-50.341534218416996, 66.05982519656317]
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4: [-50.34154307497021, 66.05955764638715]
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47: List (5 elements)
0: [-50.15939323792557, 66.13807347472797]
- 0:-50.15939323792557
- 1:66.13807347472797
1: [-50.158728892187035, 66.13807354740653]
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2: [-50.15871985436429, 66.13834109231814]
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3: [-50.15938425095003, 66.13834554817063]
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4: [-50.15939323792557, 66.13807347472797]
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48: List (5 elements)
0: [-50.15332891913179, 66.14046357640333]
- 0:-50.15332891913179
- 1:66.14046357640333
1: [-50.15332001943879, 66.14073558675454]
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2: [-50.15398428700165, 66.14073560808022]
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3: [-50.15399337023967, 66.14046806121682]
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4: [-50.15332891913179, 66.14046357640333]
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49: List (5 elements)
0: [-50.25363637600142, 66.07476765561083]
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- 1:66.07476765561083
1: [-50.25362747194694, 66.0750352360355]
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2: [-50.254291801522704, 66.07503964366897]
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3: [-50.2543008669568, 66.07477211486896]
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4: [-50.25363637600142, 66.07476765561083]
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50: List (5 elements)
0: [-50.256365261001015, 66.07208778836188]
- 0:-50.256365261001015
- 1:66.07208778836188
1: [-50.255705452765575, 66.07208773317745]
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2: [-50.25569640064558, 66.07235525926858]
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3: [-50.25636083265451, 66.07235970719326]
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4: [-50.256365261001015, 66.07208778836188]
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51: List (5 elements)
0: [-50.24864214312565, 66.06424421955148]
- 0:-50.24864214312565
- 1:66.06424421955148
1: [-50.247982199817635, 66.06424413781845]
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2: [-50.2479732408428, 66.06451170621766]
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3: [-50.248637805411995, 66.06451618082374]
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4: [-50.24864214312565, 66.06424421955148]
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52: List (5 elements)
0: [-50.24401372484685, 66.06395434785533]
- 0:-50.24401372484685
- 1:66.06395434785533
1: [-50.24467811139608, 66.0639587917591]
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2: [-50.24469147840469, 66.06341926434801]
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3: [-50.244031369542284, 66.0634148164076]
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4: [-50.24401372484685, 66.06395434785533]
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53: List (5 elements)
0: [-50.244031369542284, 66.0634148164076]
- 0:-50.244031369542284
- 1:66.0634148164076
1: [-50.24403578810885, 66.06314726715019]
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2: [-50.24337599867991, 66.06314280250064]
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3: [-50.24336703107337, 66.06341477954308]
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4: [-50.244031369542284, 66.0634148164076]
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54: List (5 elements)
0: [-50.16402616941665, 66.09826269770598]
- 0:-50.16402616941665
- 1:66.09826269770598
1: [-50.16336195864247, 66.09826265768498]
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2: [-50.16334398910778, 66.09879778085893]
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3: [-50.16400854993238, 66.0988022189487]
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4: [-50.16402616941665, 66.09826269770598]
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55: List (5 elements)
0: [-50.166064087820104, 66.09692938329712]
- 0:-50.166064087820104
- 1:66.09692938329712
1: [-50.16539957310457, 66.09692495642486]
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2: [-50.16539078837676, 66.097196921104]
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3: [-50.16605513973878, 66.09719700202596]
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4: [-50.166064087820104, 66.09692938329712]
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56: List (5 elements)
0: [-50.13584025688089, 66.10752862947831]
- 0:-50.13584025688089
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1: [-50.13716916283125, 66.10753759001162]
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3: [-50.13584920204046, 66.10726113323658]
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4: [-50.13584025688089, 66.10752862947831]
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57: List (5 elements)
0: [-50.2316619164133, 66.05608853222509]
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1: [-50.22967314824554, 66.05607958686032]
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2: [-50.22966432663036, 66.05634713092195]
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3: [-50.23165294625909, 66.0563560248039]
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4: [-50.2316619164133, 66.05608853222509]
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58: List (5 elements)
0: [-50.12577612760083, 66.11070359154374]
- 0:-50.12577612760083
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1: [-50.126436055343625, 66.11070802393732]
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2: [-50.126445051757536, 66.11043599753663]
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3: [-50.12578500147949, 66.11043604126468]
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4: [-50.12577612760083, 66.11070359154374]
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59: List (5 elements)
0: [-50.23376203829476, 66.05232946115119]
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1: [-50.23309777448704, 66.05232502580066]
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3: [-50.23375325562404, 66.05259700166957]
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4: [-50.23376203829476, 66.05232946115119]
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60: List (5 elements)
0: [-50.12242732535274, 66.111492837855]
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1: [-50.12109839895889, 66.1114838879443]
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4: [-50.12242732535274, 66.111492837855]
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61: List (5 elements)
0: [-50.16038302296207, 66.08801566908127]
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1: [-50.16104764295726, 66.08802010828121]
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4: [-50.16038302296207, 66.08801566908127]
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62: List (5 elements)
0: [-50.15970987565671, 66.08828316754646]
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1: [-50.16037416597975, 66.08828321264613]
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4: [-50.15970987565671, 66.08828316754646]
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63: List (5 elements)
0: [-50.16174773913709, 66.0869454853968]
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1: [-50.161083291391286, 66.0869409851734]
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4: [-50.16174773913709, 66.0869454853968]
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64: List (5 elements)
0: [-50.10053298237005, 66.11109596787968]
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1: [-50.09920425410669, 66.11108707057369]
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4: [-50.10053298237005, 66.11109596787968]
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65: List (7 elements)
0: [-50.4885195673179, 66.19684002409805]
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1: [-50.48853289597902, 66.19630490066042]
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6: [-50.4885195673179, 66.19684002409805]
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66: List (7 elements)
0: [-50.42320251714728, 66.19849880141244]
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1: [-50.42320705662101, 66.19827581653195]
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6: [-50.42320251714728, 66.19849880141244]
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67: List (7 elements)
0: [-50.31874813128633, 66.19322816456868]
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1: [-50.31808364543132, 66.19322367616188]
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6: [-50.31874813128633, 66.19322816456868]
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68: List (7 elements)
0: [-50.302383230399116, 66.18292761499244]
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1: [-50.30171440329876, 66.18292317759808]
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6: [-50.302383230399116, 66.18292761499244]
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69: List (7 elements)
0: [-50.249583065629956, 66.1896786926029]
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1: [-50.248254206873185, 66.18967427477334]
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6: [-50.249583065629956, 66.1896786926029]
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70: List (7 elements)
0: [-50.38603607441538, 66.1103423859758]
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1: [-50.386040483745774, 66.11007036023311]
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6: [-50.38603607441538, 66.1103423859758]
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71: List (7 elements)
0: [-50.221998998817384, 66.17716202930913]
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1: [-50.221330170456525, 66.17715757880966]
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72: List (7 elements)
0: [-50.10053298237005, 66.11109596787968]
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1: [-50.10252180971898, 66.11110934502831]
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6: [-50.10053298237005, 66.11109596787968]
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73: List (8 elements)
0: [-50.404920212552035, 66.20004166749302]
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1: [-50.404510116082136, 66.20004164902096]
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3: [-50.40480436695568, 66.20031363879885]
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7: [-50.404920212552035, 66.20004166749302]
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74: List (9 elements)
0: [-50.35092499656557, 66.18529093146361]
- 0:-50.35092499656557
- 1:66.18529093146361
1: [-50.34959169469865, 66.18528644351942]
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2: [-50.349600655235534, 66.18501892722396]
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3: [-50.34760292832532, 66.18501004303131]
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4: [-50.34759394853576, 66.18527755906699]
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5: [-50.34826301089323, 66.18528203695553]
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6: [-50.34825403748414, 66.18554955335955]
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7: [-50.35091612483982, 66.18556297758391]
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8: [-50.35092499656557, 66.18529093146361]
- 0:-50.35092499656557
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75: List (9 elements)
0: [-50.28504176964712, 66.18392645861725]
- 0:-50.28504176964712
- 1:66.18392645861725
1: [-50.2843773571101, 66.18392197468847]
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2: [-50.2843863165463, 66.18365449490047]
- 0:-50.2843863165463
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3: [-50.28238856283213, 66.18364557032446]
- 0:-50.28238856283213
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4: [-50.28237975261606, 66.18391310155444]
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5: [-50.28304399794914, 66.18391754437977]
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6: [-50.28303067329439, 66.18445260243067]
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7: [-50.28502833714687, 66.18446158219028]
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8: [-50.28504176964712, 66.18392645861725]
- 0:-50.28504176964712
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76: List (9 elements)
0: [-50.43200491527162, 66.10298042788355]
- 0:-50.43200491527162
- 1:66.10298042788355
1: [-50.43134491866442, 66.10297592534052]
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2: [-50.43134928955646, 66.10270841772741]
- 0:-50.43134928955646
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3: [-50.430020542746746, 66.10270396499544]
- 0:-50.430020542746746
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4: [-50.43001615909695, 66.10297147248474]
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6: [-50.430671465556216, 66.10324350363678]
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7: [-50.43200023697849, 66.10324794959833]
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8: [-50.43200491527162, 66.10298042788355]
- 0:-50.43200491527162
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77: List (9 elements)
0: [-50.22802766902226, 66.17584655175213]
- 0:-50.22802766902226
- 1:66.17584655175213
1: [-50.22803668857169, 66.17557904905298]
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2: [-50.22670782723709, 66.17557013744609]
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3: [-50.22671224077015, 66.17530253516043]
- 0:-50.22671224077015
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4: [-50.22538355903735, 66.17529366135187]
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5: [-50.22537456941791, 66.17556569256779]
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6: [-50.226038872315456, 66.1755656605644]
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8: [-50.22802766902226, 66.17584655175213]
- 0:-50.22802766902226
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78: List (9 elements)
0: [-50.19693891792882, 66.16976435660354]
- 0:-50.19693891792882
- 1:66.16976435660354
1: [-50.196269985142045, 66.16976431551927]
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2: [-50.196278945390944, 66.16949230735018]
- 0:-50.196278945390944
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3: [-50.195614439326285, 66.16948789989938]
- 0:-50.195614439326285
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5: [-50.19625660275123, 66.17029949258945]
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6: [-50.19626559205581, 66.17003189610125]
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7: [-50.19692996415923, 66.17003636514653]
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8: [-50.19693891792882, 66.16976435660354]
- 0:-50.19693891792882
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79: List (9 elements)
0: [-50.18386472742622, 66.16242913305092]
- 0:-50.18386472742622
- 1:66.16242913305092
1: [-50.18519373366173, 66.16243805398187]
- 0:-50.18519373366173
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2: [-50.185202515298485, 66.16217048029662]
- 0:-50.185202515298485
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3: [-50.18586682687784, 66.16217052984085]
- 0:-50.18586682687784
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4: [-50.18587591669813, 66.16190294322334]
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6: [-50.18453817609055, 66.16216601511672]
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7: [-50.18387369003091, 66.16216161136455]
- 0:-50.18387369003091
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8: [-50.18386472742622, 66.16242913305092]
- 0:-50.18386472742622
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80: List (9 elements)
0: [-50.207025382057346, 66.12379098267668]
- 0:-50.207025382057346
- 1:66.12379098267668
1: [-50.20636089355533, 66.12379103822325]
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2: [-50.206369904488966, 66.12351901333192]
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3: [-50.201723496372374, 66.12349673732247]
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5: [-50.20237893213512, 66.12376873077008]
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6: [-50.2023699988585, 66.12403627901162]
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8: [-50.207025382057346, 66.12379098267668]
- 0:-50.207025382057346
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81: List (9 elements)
0: [-50.23243780731899, 66.05232499331007]
- 0:-50.23243780731899
- 1:66.05232499331007
1: [-50.23111354080695, 66.05231610119975]
- 0:-50.23111354080695
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2: [-50.23110445297044, 66.05258806482895]
- 0:-50.23110445297044
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3: [-50.23044018105873, 66.05258361527586]
- 0:-50.23044018105873
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4: [-50.23043122076609, 66.05285122064336]
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5: [-50.23109549904713, 66.05285567028395]
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6: [-50.23108669085173, 66.05312321104188]
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8: [-50.23243780731899, 66.05232499331007]
- 0:-50.23243780731899
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82: List (9 elements)
0: [-50.11175231788321, 66.11304459471809]
- 0:-50.11175231788321
- 1:66.11304459471809
1: [-50.11440540044013, 66.11306247229219]
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2: [-50.11441434646488, 66.11279039293139]
- 0:-50.11441434646488
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3: [-50.113749941368354, 66.11278596125995]
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6: [-50.11308555128669, 66.11278593724809]
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8: [-50.11175231788321, 66.11304459471809]
- 0:-50.11175231788321
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83: List (11 elements)
0: [-50.46996518681785, 66.19220253708028]
- 0:-50.46996518681785
- 1:66.19220253708028
1: [-50.46796757771915, 66.19219808643595]
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2: [-50.46797198533749, 66.19192610598195]
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3: [-50.46597439085509, 66.1919216236758]
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5: [-50.46862744148087, 66.19247011370544]
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6: [-50.468622968060046, 66.19273768202122]
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10: [-50.46996518681785, 66.19220253708028]
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84: List (11 elements)
0: [-50.34163674866707, 66.18390858848457]
- 0:-50.34163674866707
- 1:66.18390858848457
1: [-50.340972334233584, 66.18390417124951]
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2: [-50.34098120936698, 66.18363660586584]
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3: [-50.33898358336034, 66.18362770155935]
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4: [-50.33897007730859, 66.18416282475417]
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10: [-50.34163674866707, 66.18390858848457]
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85: List (11 elements)
0: [-50.188332750412535, 66.16837757232447]
- 0:-50.188332750412535
- 1:66.16837757232447
1: [-50.18699949837403, 66.16836867199909]
- 0:-50.18699949837403
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2: [-50.18700843044437, 66.16810114365792]
- 0:-50.18700843044437
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3: [-50.18567961746089, 66.1680921622434]
- 0:-50.18567961746089
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4: [-50.18567072157269, 66.16836421941157]
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5: [-50.1850019534914, 66.16835975788814]
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9: [-50.18832383110986, 66.16864510112067]
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10: [-50.188332750412535, 66.16837757232447]
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86: List (11 elements)
0: [-50.35843419812136, 66.07281456858595]
- 0:-50.35843419812136
- 1:66.07281456858595
1: [-50.357109752880355, 66.07281016019505]
- 0:-50.357109752880355
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2: [-50.35711419346864, 66.07254260216132]
- 0:-50.35711419346864
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3: [-50.356454300826016, 66.07253808572199]
- 0:-50.356454300826016
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4: [-50.35644549627368, 66.07281012748557]
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5: [-50.35578101771529, 66.07280562903254]
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6: [-50.355776564403136, 66.07307318722985]
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7: [-50.35644088142501, 66.07307763417208]
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8: [-50.356432023241105, 66.07334526588373]
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10: [-50.35843419812136, 66.07281456858595]
- 0:-50.35843419812136
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87: List (13 elements)
0: [-50.35360945736223, 66.18449722764548]
- 0:-50.35360945736223
- 1:66.18449722764548
1: [-50.35227614423182, 66.18448835591664]
- 0:-50.35227614423182
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2: [-50.352285056538456, 66.18422072335756]
- 0:-50.352285056538456
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3: [-50.35095166211553, 66.18421631535458]
- 0:-50.35095166211553
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4: [-50.350960702181624, 66.18394432227673]
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6: [-50.349613902775616, 66.18447938736276]
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7: [-50.350278346865274, 66.18448387560882]
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9: [-50.35227171464765, 66.18476032840077]
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10: [-50.352262779833005, 66.18502784475913]
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11: [-50.353596064834036, 66.18503230419437]
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12: [-50.35360945736223, 66.18449722764548]
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88: List (13 elements)
0: [-50.36507808615899, 66.07230625157362]
- 0:-50.36507808615899
- 1:66.07230625157362
1: [-50.363749388300356, 66.07230180543846]
- 0:-50.363749388300356
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2: [-50.36375828955212, 66.07202981488182]
- 0:-50.36375828955212
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3: [-50.362433868082505, 66.07202534653527]
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12: [-50.36507808615899, 66.07230625157362]
- 0:-50.36507808615899
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89: List (13 elements)
0: [-50.16121710497478, 66.14319703643451]
- 0:-50.16121710497478
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1: [-50.160552617046186, 66.14319700137216]
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2: [-50.160561613867785, 66.142925039326]
- 0:-50.160561613867785
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3: [-50.1598971318527, 66.14292500081476]
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7: [-50.15725737921019, 66.14237211743436]
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- 0:-50.15723056080716
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- 0:-50.15789505122987
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10: [-50.15788602835184, 66.14345117955065]
- 0:-50.15788602835184
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11: [-50.16120811457928, 66.14346899885554]
- 0:-50.16120811457928
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12: [-50.16121710497478, 66.14319703643451]
- 0:-50.16121710497478
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90: List (15 elements)
0: [-50.39158756317778, 66.07241329203795]
- 0:-50.39158756317778
- 1:66.07241329203795
1: [-50.39092750915085, 66.07240878974187]
- 0:-50.39092750915085
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2: [-50.39093210694069, 66.0721412670329]
- 0:-50.39093210694069
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3: [-50.3896078263238, 66.07213678859594]
- 0:-50.3896078263238
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4: [-50.389612210102115, 66.07186480414107]
- 0:-50.389612210102115
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5: [-50.38895224868652, 66.07186481881108]
- 0:-50.38895224868652
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6: [-50.388943366556134, 66.07213235018042]
- 0:-50.388943366556134
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7: [-50.38828348513563, 66.07212788546836]
- 0:-50.38828348513563
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8: [-50.3882745096754, 66.07239989284847]
- 0:-50.3882745096754
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9: [-50.386950066834956, 66.07239545129556]
- 0:-50.386950066834956
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10: [-50.38693669755008, 66.07293055742427]
- 0:-50.38693669755008
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- 0:-50.391582971735694
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14: [-50.39158756317778, 66.07241329203795]
- 0:-50.39158756317778
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91: List (17 elements)
0: [-50.50093364128389, 66.14170765219033]
- 0:-50.50093364128389
- 1:66.14170765219033
1: [-50.50093813041649, 66.14144012084681]
- 0:-50.50093813041649
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2: [-50.500273727706315, 66.14143566295783]
- 0:-50.500273727706315
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3: [-50.500278223251314, 66.14116813196266]
- 0:-50.500278223251314
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- 0:-50.49894936049917
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16: [-50.50093364128389, 66.14170765219033]
- 0:-50.50093364128389
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92: List (17 elements)
0: [-50.21398154831798, 66.07080353952234]
- 0:-50.21398154831798
- 1:66.07080353952234
1: [-50.21464593045227, 66.07080797597402]
- 0:-50.21464593045227
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2: [-50.214636965662244, 66.07107553404077]
- 0:-50.214636965662244
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- 0:-50.21662583127207
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- 0:-50.217303653192275
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16: [-50.21398154831798, 66.07080353952234]
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93: List (19 elements)
0: [-50.48646390876658, 66.1341227816809]
- 0:-50.48646390876658
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1: [-50.48645952184228, 66.13439476712193]
- 0:-50.48645952184228
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2: [-50.48712366953337, 66.13439476881682]
- 0:-50.48712366953337
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3: [-50.48711477163311, 66.1346623038677]
- 0:-50.48711477163311
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18: [-50.48646390876658, 66.1341227816809]
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94: List (21 elements)
0: [-50.3031903082051, 66.17781744848003]
- 0:-50.3031903082051
- 1:66.17781744848003
1: [-50.30252145840718, 66.17781308126415]
- 0:-50.30252145840718
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2: [-50.30253915257335, 66.17727794844026]
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- 0:-50.301870461522874
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95: List (23 elements)
0: [-50.487378084947096, 66.12174430304667]
- 0:-50.487378084947096
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1: [-50.48604903956035, 66.12173982958765]
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96: List (23 elements)
0: [-50.410980161655715, 66.0937500910838]
- 0:-50.410980161655715
- 1:66.0937500910838
1: [-50.4096559527832, 66.09374559629009]
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97: List (25 elements)
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1: [-50.32689043731128, 66.18761409192578]
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98: List (33 elements)
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99: List (41 elements)
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100: List (47 elements)
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101: List (49 elements)
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102: List (61 elements)
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- 0:-50.33066733405256
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1: [-50.32933843000686, 66.1203352538013]
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103: List (63 elements)
0: [-50.3237156337406, 66.18194662954755]
- 0:-50.3237156337406
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1: [-50.323046655513075, 66.18194213780889]
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104: List (77 elements)
0: [-50.31229132147931, 66.11218402507315]
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105: List (89 elements)
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106: List (145 elements)
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properties: Object (7 properties)
- area_km2:2243.480807755364
- cenlat:65.9947675
- cenlon:-51.078755016115394
- o1region:05
- o2region:05-01
- rgi_id:RGI2000-v7.0-C-05-09193
- utm_zone:22
# Add to map
Map = geemap.Map()
visParams = {'bands': ['SR_B4', 'SR_B3', 'SR_B2']}
Map.addLayer(image, visParams, 'True Colour')
Map.addLayer(outline, {'color': 'red'})
Map.centerObject(outline, 11)
Map
Intersect raster with polygon#
We can now refine our analysis by only counting pixels within the outline of the ice cap.
# Define size of Landsat pixel
scale = 30
pixel_area_m2 = scale * scale
start = time.time()
pixel_count = ndsi_threshold.reduceRegion(reducer=ee.Reducer.count(), geometry=outline,
scale=scale, maxPixels=1e9)
end = time.time()
print(f"Execution time: {end - start:.4f} seconds")
Execution time: 0.0003 seconds
start = time.time()
# Extract and print the result
number = pixel_count.getInfo()
# Convert to km2
total_area_km2 = number['NDSI'] * pixel_area_m2 / 1000000
print(f'Total area of ice cap: {total_area_km2} km2')
end = time.time()
print(f"Execution time: {end - start:.4f} seconds")
Total area of ice cap: 181.7676 km2
Execution time: 0.2850 seconds
Deferred execution#
We might be wondering why the first task (i.e. counting all the pixels within the polygon) was executed almost instantly. But the second task (i.e. simply returning the pixel_count value using getInfo) took orders of magnitude longer. The reason is because Earth Engine uses a parallel processing system to carry out computation across a large number of machines. To enable such processing, Earth Engine takes advantage of lazy evaluation (also known as deferred execution).
When we write Python code using Earth Engine functions, we are not performing immediate computations on our local machines. Instead, we are building a computation graph which is a set of instructions that describe the operations we want to perform on data stored on Google’s servers.
The execution of the code only occurs when we use specific methods that require the server to respond to our local Python environment. Common trigger methods include:
getInfo(): Returns the result to the clientexport(): Returns a file to Google Drive or Cloud StorageaddLayer(): Returns data tiles for visualization
Important
The general advice with Earth Engine is to use trigger methods as few times as possible. If we do use the, we should be precise with what we want to return.
Scaling up#
If we wanted to track the area of the ice cap through time, we might be tempted to iterate over every image in our ImageCollectionusing a for loop. Don’t do that! It would involve calling .getInfo for each image add would be very slow.
Instead, we should define a function, and apply it to every image in the collection remotely using the map() function.
Here’s an example of generate an ImageCollection containing the least cloudy image between Jul 1 and Aug 31 for each year between 2015 and 2025.
# Define the years of interest
start_year = 2015
end_year = 2025
years = ee.List.sequence(start_year, end_year)
def get_least_cloudy_annual_image(year):
# Convert year number to date objects for filtering
start = ee.Date.fromYMD(year, 7, 31)
end = ee.Date.fromYMD(year, 8, 31)
# Load the Landsat 8 Collection 2 Tier 1 TOA image collection
collection = (
ee.ImageCollection('LANDSAT/LC08/C02/T1_L2')
.filterBounds(region)
.filterDate(start, end)
.sort('CLOUD_COVER')
)
# Get the first image from the sorted collection
least_cloudy = ee.Image(collection.first())
return least_cloudy
# Map the function over the list of years to produce ImageCollection
image_collection = ee.ImageCollection(years.map(get_least_cloudy_annual_image))
image_collection
ImageCollection (11 elements)
- type:ImageCollection
bands: []
features: List (11 elements)
0: Image LANDSAT/LC08/C02/T1_L2/LC08_006014_20150802 (19 bands)
- type:Image
- id:LANDSAT/LC08/C02/T1_L2/LC08_006014_20150802
- version:1629845071900339
bands: List (19 elements)
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- id:SR_B1
- crs:EPSG:32622
crs_transform: [30, 0, 456585, 0, -30, 7399515]
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- 3:0
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data_type: unsigned int16
- type:PixelType
- max:65535
- min:0
- precision:int
dimensions: [8271, 8341]
- 0:8271
- 1:8341
1: "SR_B2", unsigned int16, EPSG:32622, 8271x8341 px
- id:SR_B2
- crs:EPSG:32622
crs_transform: [30, 0, 456585, 0, -30, 7399515]
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data_type: unsigned int16
- type:PixelType
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- precision:int
dimensions: [8271, 8341]
- 0:8271
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2: "SR_B3", unsigned int16, EPSG:32622, 8271x8341 px
- id:SR_B3
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crs_transform: [30, 0, 456585, 0, -30, 7399515]
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data_type: unsigned int16
- type:PixelType
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dimensions: [8271, 8341]
- 0:8271
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3: "SR_B4", unsigned int16, EPSG:32622, 8271x8341 px
- id:SR_B4
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crs_transform: [30, 0, 456585, 0, -30, 7399515]
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data_type: unsigned int16
- type:PixelType
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dimensions: [8271, 8341]
- 0:8271
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4: "SR_B5", unsigned int16, EPSG:32622, 8271x8341 px
- id:SR_B5
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crs_transform: [30, 0, 456585, 0, -30, 7399515]
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data_type: unsigned int16
- type:PixelType
- max:65535
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- precision:int
dimensions: [8271, 8341]
- 0:8271
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5: "SR_B6", unsigned int16, EPSG:32622, 8271x8341 px
- id:SR_B6
- crs:EPSG:32622
crs_transform: [30, 0, 456585, 0, -30, 7399515]
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data_type: unsigned int16
- type:PixelType
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dimensions: [8271, 8341]
- 0:8271
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6: "SR_B7", unsigned int16, EPSG:32622, 8271x8341 px
- id:SR_B7
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crs_transform: [30, 0, 456585, 0, -30, 7399515]
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data_type: unsigned int16
- type:PixelType
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dimensions: [8271, 8341]
- 0:8271
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7: "SR_QA_AEROSOL", unsigned int8, EPSG:32622, 8271x8341 px
- id:SR_QA_AEROSOL
- crs:EPSG:32622
crs_transform: [30, 0, 456585, 0, -30, 7399515]
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data_type: unsigned int8
- type:PixelType
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dimensions: [8271, 8341]
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8: "ST_B10", unsigned int16, EPSG:32622, 8271x8341 px
- id:ST_B10
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crs_transform: [30, 0, 456585, 0, -30, 7399515]
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data_type: unsigned int16
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dimensions: [8271, 8341]
- 0:8271
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9: "ST_ATRAN", signed int16, EPSG:32622, 8271x8341 px
- id:ST_ATRAN
- crs:EPSG:32622
crs_transform: [30, 0, 456585, 0, -30, 7399515]
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data_type: signed int16
- type:PixelType
- max:32767
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1: Image LANDSAT/LC08/C02/T1_L2/LC08_006014_20160820 (19 bands)
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properties: Object (94 properties)
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- DATA_SOURCE_PRESSURE:Calculated
- DATA_SOURCE_REANALYSIS:GEOS-5 FP-IT
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- DATE_PRODUCT_GENERATED:1599118841000
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3: Image LANDSAT/LC08/C02/T1_L2/LC08_006014_20180810 (19 bands)
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crs_transform: [30, 0, 456885, 0, -30, 7399515]
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data_type: unsigned int16
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2: "SR_B3", unsigned int16, EPSG:32622, 8271x8341 px
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crs_transform: [30, 0, 456885, 0, -30, 7399515]
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data_type: unsigned int16
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3: "SR_B4", unsigned int16, EPSG:32622, 8271x8341 px
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crs_transform: [30, 0, 456885, 0, -30, 7399515]
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data_type: unsigned int16
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4: "SR_B5", unsigned int16, EPSG:32622, 8271x8341 px
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crs_transform: [30, 0, 456885, 0, -30, 7399515]
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crs_transform: [30, 0, 456885, 0, -30, 7399515]
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7: "SR_QA_AEROSOL", unsigned int8, EPSG:32622, 8271x8341 px
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crs_transform: [30, 0, 456885, 0, -30, 7399515]
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data_type: unsigned int8
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crs_transform: [30, 0, 456885, 0, -30, 7399515]
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data_type: unsigned int16
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9: "ST_ATRAN", signed int16, EPSG:32622, 8271x8341 px
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crs_transform: [30, 0, 456885, 0, -30, 7399515]
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data_type: signed int16
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10: "ST_CDIST", signed int16, EPSG:32622, 8271x8341 px
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crs_transform: [30, 0, 456885, 0, -30, 7399515]
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data_type: signed int16
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11: "ST_DRAD", signed int16, EPSG:32622, 8271x8341 px
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crs_transform: [30, 0, 456885, 0, -30, 7399515]
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data_type: signed int16
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12: "ST_EMIS", signed int16, EPSG:32622, 8271x8341 px
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crs_transform: [30, 0, 456885, 0, -30, 7399515]
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data_type: signed int16
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13: "ST_EMSD", signed int16, EPSG:32622, 8271x8341 px
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crs_transform: [30, 0, 456885, 0, -30, 7399515]
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data_type: signed int16
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14: "ST_QA", signed int16, EPSG:32622, 8271x8341 px
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crs_transform: [30, 0, 456885, 0, -30, 7399515]
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data_type: signed int16
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15: "ST_TRAD", signed int16, EPSG:32622, 8271x8341 px
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crs_transform: [30, 0, 456885, 0, -30, 7399515]
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data_type: signed int16
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16: "ST_URAD", signed int16, EPSG:32622, 8271x8341 px
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crs_transform: [30, 0, 456885, 0, -30, 7399515]
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data_type: signed int16
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17: "QA_PIXEL", unsigned int16, EPSG:32622, 8271x8341 px
- id:QA_PIXEL
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crs_transform: [30, 0, 456885, 0, -30, 7399515]
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data_type: unsigned int16
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18: "QA_RADSAT", unsigned int16, EPSG:32622, 8271x8341 px
- id:QA_RADSAT
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crs_transform: [30, 0, 456885, 0, -30, 7399515]
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data_type: unsigned int16
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dimensions: [8271, 8341]
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properties: Object (94 properties)
- ALGORITHM_SOURCE_SURFACE_REFLECTANCE:LaSRC_1.5.0
- ALGORITHM_SOURCE_SURFACE_TEMPERATURE:st_1.3.0
- CLOUD_COVER:0.68
- CLOUD_COVER_LAND:0.66
- COLLECTION_CATEGORY:T1
- COLLECTION_NUMBER:2
- DATA_SOURCE_AIR_TEMPERATURE:MODIS
- DATA_SOURCE_ELEVATION:GLS2000
- DATA_SOURCE_OZONE:MODIS
- DATA_SOURCE_PRESSURE:Calculated
- DATA_SOURCE_REANALYSIS:GEOS-5 FP-IT
- DATA_SOURCE_TIRS_STRAY_LIGHT_CORRECTION:TIRS
- DATA_SOURCE_WATER_VAPOR:MODIS
- DATE_ACQUIRED:2018-08-10
- DATE_PRODUCT_GENERATED:1598838174000
- DATUM:WGS84
- EARTH_SUN_DISTANCE:1.0136724
- ELLIPSOID:WGS84
- GEOMETRIC_RMSE_MODEL:2.158
- GEOMETRIC_RMSE_MODEL_X:1.539
- GEOMETRIC_RMSE_MODEL_Y:1.513
- GEOMETRIC_RMSE_VERIFY:1.872
- GRID_CELL_SIZE_REFLECTIVE:30
- GRID_CELL_SIZE_THERMAL:30
- GROUND_CONTROL_POINTS_MODEL:1398
- GROUND_CONTROL_POINTS_VERIFY:277
- GROUND_CONTROL_POINTS_VERSION:5
- IMAGE_QUALITY_OLI:9
- IMAGE_QUALITY_TIRS:9
- L1_DATE_PRODUCT_GENERATED:2020-08-31T01:30:19Z
- L1_LANDSAT_PRODUCT_ID:LC08_L1TP_006014_20180810_20200831_02_T1
- L1_PROCESSING_LEVEL:L1TP
- L1_PROCESSING_SOFTWARE_VERSION:LPGS_15.3.1c
- L1_REQUEST_ID:L2
- LANDSAT_PRODUCT_ID:LC08_L2SP_006014_20180810_20200831_02_T1
- LANDSAT_SCENE_ID:LC80060142018222LGN00
- MAP_PROJECTION:UTM
- NADIR_OFFNADIR:NADIR
- ORIENTATION:NORTH_UP
- PROCESSING_LEVEL:L2SP
- PROCESSING_SOFTWARE_VERSION:LPGS_15.3.1c
- REFLECTANCE_ADD_BAND_1:-0.2
- REFLECTANCE_ADD_BAND_2:-0.2
- REFLECTANCE_ADD_BAND_3:-0.2
- REFLECTANCE_ADD_BAND_4:-0.2
- REFLECTANCE_ADD_BAND_5:-0.2
- REFLECTANCE_ADD_BAND_6:-0.2
- REFLECTANCE_ADD_BAND_7:-0.2
- REFLECTANCE_MULT_BAND_1:2.75e-05
- REFLECTANCE_MULT_BAND_2:2.75e-05
- REFLECTANCE_MULT_BAND_3:2.75e-05
- REFLECTANCE_MULT_BAND_4:2.75e-05
- REFLECTANCE_MULT_BAND_5:2.75e-05
- REFLECTANCE_MULT_BAND_6:2.75e-05
- REFLECTANCE_MULT_BAND_7:2.75e-05
- REFLECTIVE_LINES:8341
- REFLECTIVE_SAMPLES:8271
- REQUEST_ID:L2
- ROLL_ANGLE:-0.001
- SATURATION_BAND_1:N
- SATURATION_BAND_2:N
- SATURATION_BAND_3:N
- SATURATION_BAND_4:N
- SATURATION_BAND_5:N
- SATURATION_BAND_6:N
- SATURATION_BAND_7:N
- SATURATION_BAND_8:N
- SATURATION_BAND_9:N
- SCENE_CENTER_TIME:14:42:39.2468550Z
- SENSOR_ID:OLI_TIRS
- SPACECRAFT_ID:LANDSAT_8
- STATION_ID:LGN
- SUN_AZIMUTH:167.59256698
- SUN_ELEVATION:39.42519315
- TARGET_WRS_PATH:6
- TARGET_WRS_ROW:14
- TEMPERATURE_ADD_BAND_ST_B10:149
- TEMPERATURE_MAXIMUM_BAND_ST_B10:372.999941
- TEMPERATURE_MINIMUM_BAND_ST_B10:149.003418
- TEMPERATURE_MULT_BAND_ST_B10:0.00341802
- THERMAL_LINES:8341
- THERMAL_SAMPLES:8271
- TIRS_SSM_MODEL:FINAL
- TIRS_SSM_POSITION_STATUS:ESTIMATED
- TRUNCATION_OLI:UPPER
- UTM_ZONE:22
- WRS_PATH:6
- WRS_ROW:14
- WRS_TYPE:2
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system:footprint: LinearRing (21 vertices)
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coordinates: List (21 elements)
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- system:index:LC08_006014_20180810
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4: Image LANDSAT/LC08/C02/T1_L2/LC08_006014_20190829 (19 bands)
- type:Image
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bands: List (19 elements)
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1: "SR_B2", unsigned int16, EPSG:32622, 8271x8341 px
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2: "SR_B3", unsigned int16, EPSG:32622, 8271x8341 px
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3: "SR_B4", unsigned int16, EPSG:32622, 8271x8341 px
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4: "SR_B5", unsigned int16, EPSG:32622, 8271x8341 px
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5: "SR_B6", unsigned int16, EPSG:32622, 8271x8341 px
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data_type: unsigned int16
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6: "SR_B7", unsigned int16, EPSG:32622, 8271x8341 px
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7: "SR_QA_AEROSOL", unsigned int8, EPSG:32622, 8271x8341 px
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data_type: unsigned int8
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8: "ST_B10", unsigned int16, EPSG:32622, 8271x8341 px
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9: "ST_ATRAN", signed int16, EPSG:32622, 8271x8341 px
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10: "ST_CDIST", signed int16, EPSG:32622, 8271x8341 px
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11: "ST_DRAD", signed int16, EPSG:32622, 8271x8341 px
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data_type: signed int16
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12: "ST_EMIS", signed int16, EPSG:32622, 8271x8341 px
- id:ST_EMIS
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data_type: signed int16
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5: Image LANDSAT/LC08/C02/T1_L2/LC08_007013_20200822 (19 bands)
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bands: List (19 elements)
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6: Image LANDSAT/LC08/C02/T1_L2/LC08_008013_20210731 (19 bands)
- type:Image
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bands: List (19 elements)
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4: "SR_B5", unsigned int16, EPSG:32622, 8451x8501 px
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data_type: unsigned int8
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data_type: unsigned int16
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9: "ST_ATRAN", signed int16, EPSG:32622, 8451x8501 px
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crs_transform: [30, 0, 374085, 0, -30, 7551615]
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data_type: signed int16
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10: "ST_CDIST", signed int16, EPSG:32622, 8451x8501 px
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crs_transform: [30, 0, 374085, 0, -30, 7551615]
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data_type: signed int16
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crs_transform: [30, 0, 374085, 0, -30, 7551615]
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crs_transform: [30, 0, 374085, 0, -30, 7551615]
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crs_transform: [30, 0, 374085, 0, -30, 7551615]
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16: "ST_URAD", signed int16, EPSG:32622, 8451x8501 px
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properties: Object (94 properties)
- ALGORITHM_SOURCE_SURFACE_REFLECTANCE:LaSRC_1.5.0
- ALGORITHM_SOURCE_SURFACE_TEMPERATURE:st_1.3.0
- CLOUD_COVER:1.54
- CLOUD_COVER_LAND:1.62
- COLLECTION_CATEGORY:T1
- COLLECTION_NUMBER:2
- DATA_SOURCE_AIR_TEMPERATURE:MODIS
- DATA_SOURCE_ELEVATION:GLS2000
- DATA_SOURCE_OZONE:MODIS
- DATA_SOURCE_PRESSURE:Calculated
- DATA_SOURCE_REANALYSIS:GEOS-5 FP-IT
- DATA_SOURCE_TIRS_STRAY_LIGHT_CORRECTION:TIRS
- DATA_SOURCE_WATER_VAPOR:MODIS
- DATE_ACQUIRED:2021-07-31
- DATE_PRODUCT_GENERATED:1628625817000
- DATUM:WGS84
- EARTH_SUN_DISTANCE:1.0150433
- ELLIPSOID:WGS84
- GEOMETRIC_RMSE_MODEL:2.618
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- GRID_CELL_SIZE_THERMAL:30
- GROUND_CONTROL_POINTS_MODEL:1556
- GROUND_CONTROL_POINTS_VERIFY:388
- GROUND_CONTROL_POINTS_VERSION:5
- IMAGE_QUALITY_OLI:9
- IMAGE_QUALITY_TIRS:9
- L1_DATE_PRODUCT_GENERATED:2021-08-10T19:39:49Z
- L1_LANDSAT_PRODUCT_ID:LC08_L1TP_008013_20210731_20210810_02_T1
- L1_PROCESSING_LEVEL:L1TP
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- L1_REQUEST_ID:P700xsstxxg8f_00012
- LANDSAT_PRODUCT_ID:LC08_L2SP_008013_20210731_20210810_02_T1
- LANDSAT_SCENE_ID:LC80080132021212LGN00
- MAP_PROJECTION:UTM
- NADIR_OFFNADIR:NADIR
- ORIENTATION:NORTH_UP
- PROCESSING_LEVEL:L2SP
- PROCESSING_SOFTWARE_VERSION:LPGS_15.5.0
- REFLECTANCE_ADD_BAND_1:-0.2
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- REFLECTANCE_ADD_BAND_6:-0.2
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- REFLECTIVE_LINES:8501
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- REQUEST_ID:P700xsstxxg8f_00012
- ROLL_ANGLE:-0.001
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7: Image LANDSAT/LC08/C02/T1_L2/LC08_007013_20220828 (19 bands)
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4: "SR_B5", unsigned int16, EPSG:32622, 8351x8411 px
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crs_transform: [30, 0, 441585, 0, -30, 7551015]
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5: "SR_B6", unsigned int16, EPSG:32622, 8351x8411 px
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crs_transform: [30, 0, 441585, 0, -30, 7551015]
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crs_transform: [30, 0, 441585, 0, -30, 7551015]
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7: "SR_QA_AEROSOL", unsigned int8, EPSG:32622, 8351x8411 px
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crs_transform: [30, 0, 441585, 0, -30, 7551015]
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8: "ST_B10", unsigned int16, EPSG:32622, 8351x8411 px
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crs_transform: [30, 0, 441585, 0, -30, 7551015]
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data_type: unsigned int16
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9: "ST_ATRAN", signed int16, EPSG:32622, 8351x8411 px
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crs_transform: [30, 0, 441585, 0, -30, 7551015]
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data_type: signed int16
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10: "ST_CDIST", signed int16, EPSG:32622, 8351x8411 px
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crs_transform: [30, 0, 441585, 0, -30, 7551015]
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11: "ST_DRAD", signed int16, EPSG:32622, 8351x8411 px
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crs_transform: [30, 0, 441585, 0, -30, 7551015]
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12: "ST_EMIS", signed int16, EPSG:32622, 8351x8411 px
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crs_transform: [30, 0, 441585, 0, -30, 7551015]
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data_type: signed int16
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13: "ST_EMSD", signed int16, EPSG:32622, 8351x8411 px
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crs_transform: [30, 0, 441585, 0, -30, 7551015]
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data_type: signed int16
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14: "ST_QA", signed int16, EPSG:32622, 8351x8411 px
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crs_transform: [30, 0, 441585, 0, -30, 7551015]
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data_type: signed int16
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15: "ST_TRAD", signed int16, EPSG:32622, 8351x8411 px
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crs_transform: [30, 0, 441585, 0, -30, 7551015]
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data_type: signed int16
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16: "ST_URAD", signed int16, EPSG:32622, 8351x8411 px
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crs_transform: [30, 0, 441585, 0, -30, 7551015]
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data_type: signed int16
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dimensions: [8351, 8411]
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17: "QA_PIXEL", unsigned int16, EPSG:32622, 8351x8411 px
- id:QA_PIXEL
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crs_transform: [30, 0, 441585, 0, -30, 7551015]
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data_type: unsigned int16
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18: "QA_RADSAT", unsigned int16, EPSG:32622, 8351x8411 px
- id:QA_RADSAT
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crs_transform: [30, 0, 441585, 0, -30, 7551015]
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data_type: unsigned int16
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dimensions: [8351, 8411]
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properties: Object (94 properties)
- ALGORITHM_SOURCE_SURFACE_REFLECTANCE:LaSRC_1.5.0
- ALGORITHM_SOURCE_SURFACE_TEMPERATURE:st_1.3.0
- CLOUD_COVER:0.52
- CLOUD_COVER_LAND:0.53
- COLLECTION_CATEGORY:T1
- COLLECTION_NUMBER:2
- DATA_SOURCE_AIR_TEMPERATURE:MODIS
- DATA_SOURCE_ELEVATION:GLS2000
- DATA_SOURCE_OZONE:MODIS
- DATA_SOURCE_PRESSURE:Calculated
- DATA_SOURCE_REANALYSIS:GEOS-5 FP-IT
- DATA_SOURCE_TIRS_STRAY_LIGHT_CORRECTION:TIRS
- DATA_SOURCE_WATER_VAPOR:MODIS
- DATE_ACQUIRED:2022-08-28
- DATE_PRODUCT_GENERATED:1662768269000
- DATUM:WGS84
- EARTH_SUN_DISTANCE:1.0101653
- ELLIPSOID:WGS84
- GEOMETRIC_RMSE_MODEL:3.827
- GEOMETRIC_RMSE_MODEL_X:2.719
- GEOMETRIC_RMSE_MODEL_Y:2.693
- GEOMETRIC_RMSE_VERIFY:2.39
- GRID_CELL_SIZE_REFLECTIVE:30
- GRID_CELL_SIZE_THERMAL:30
- GROUND_CONTROL_POINTS_MODEL:1305
- GROUND_CONTROL_POINTS_VERIFY:317
- GROUND_CONTROL_POINTS_VERSION:5
- IMAGE_QUALITY_OLI:9
- IMAGE_QUALITY_TIRS:9
- L1_DATE_PRODUCT_GENERATED:2022-09-09T23:41:59Z
- L1_LANDSAT_PRODUCT_ID:LC08_L1TP_007013_20220828_20220909_02_T1
- L1_PROCESSING_LEVEL:L1TP
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- L1_REQUEST_ID:1573810_00013
- LANDSAT_PRODUCT_ID:LC08_L2SP_007013_20220828_20220910_02_T1
- LANDSAT_SCENE_ID:LC80070132022240LGN00
- MAP_PROJECTION:UTM
- NADIR_OFFNADIR:NADIR
- ORIENTATION:NORTH_UP
- PROCESSING_LEVEL:L2SP
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- REFLECTANCE_ADD_BAND_1:-0.2
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- REFLECTANCE_ADD_BAND_6:-0.2
- REFLECTANCE_ADD_BAND_7:-0.2
- REFLECTANCE_MULT_BAND_1:2.75e-05
- REFLECTANCE_MULT_BAND_2:2.75e-05
- REFLECTANCE_MULT_BAND_3:2.75e-05
- REFLECTANCE_MULT_BAND_4:2.75e-05
- REFLECTANCE_MULT_BAND_5:2.75e-05
- REFLECTANCE_MULT_BAND_6:2.75e-05
- REFLECTANCE_MULT_BAND_7:2.75e-05
- REFLECTIVE_LINES:8411
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- REQUEST_ID:1573810_00013
- ROLL_ANGLE:-0.001
- SATURATION_BAND_1:N
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- SATURATION_BAND_3:N
- SATURATION_BAND_4:N
- SATURATION_BAND_5:N
- SATURATION_BAND_6:N
- SATURATION_BAND_7:N
- SATURATION_BAND_8:N
- SATURATION_BAND_9:N
- SCENE_CENTER_TIME:14:49:34.9047910Z
- SENSOR_ID:OLI_TIRS
- SPACECRAFT_ID:LANDSAT_8
- STATION_ID:LGN
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- TEMPERATURE_ADD_BAND_ST_B10:149
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- TEMPERATURE_MINIMUM_BAND_ST_B10:149.003418
- TEMPERATURE_MULT_BAND_ST_B10:0.00341802
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- TIRS_SSM_MODEL:FINAL
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- TRUNCATION_OLI:UPPER
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system:footprint: LinearRing (20 vertices)
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coordinates: List (20 elements)
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8: Image LANDSAT/LC08/C02/T1_L2/LC08_006014_20230808 (19 bands)
- type:Image
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bands: List (19 elements)
0: "SR_B1", unsigned int16, EPSG:32622, 8281x8341 px
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1: "SR_B2", unsigned int16, EPSG:32622, 8281x8341 px
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2: "SR_B3", unsigned int16, EPSG:32622, 8281x8341 px
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3: "SR_B4", unsigned int16, EPSG:32622, 8281x8341 px
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4: "SR_B5", unsigned int16, EPSG:32622, 8281x8341 px
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5: "SR_B6", unsigned int16, EPSG:32622, 8281x8341 px
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6: "SR_B7", unsigned int16, EPSG:32622, 8281x8341 px
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7: "SR_QA_AEROSOL", unsigned int8, EPSG:32622, 8281x8341 px
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data_type: unsigned int8
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8: "ST_B10", unsigned int16, EPSG:32622, 8281x8341 px
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9: "ST_ATRAN", signed int16, EPSG:32622, 8281x8341 px
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10: "ST_CDIST", signed int16, EPSG:32622, 8281x8341 px
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11: "ST_DRAD", signed int16, EPSG:32622, 8281x8341 px
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crs_transform: [30, 0, 455685, 0, -30, 7399515]
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data_type: signed int16
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dimensions: [8281, 8341]
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12: "ST_EMIS", signed int16, EPSG:32622, 8281x8341 px
- id:ST_EMIS
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crs_transform: [30, 0, 455685, 0, -30, 7399515]
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data_type: signed int16
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dimensions: [8281, 8341]
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13: "ST_EMSD", signed int16, EPSG:32622, 8281x8341 px
- id:ST_EMSD
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14: "ST_QA", signed int16, EPSG:32622, 8281x8341 px
- id:ST_QA
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15: "ST_TRAD", signed int16, EPSG:32622, 8281x8341 px
- id:ST_TRAD
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10: Image LANDSAT/LC08/C02/T1_L2/LC08_008014_20250827 (19 bands)
- type:Image
- id:LANDSAT/LC08/C02/T1_L2/LC08_008014_20250827
- version:1756926746706366
bands: List (19 elements)
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- id:SR_B1
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data_type: unsigned int16
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1: "SR_B2", unsigned int16, EPSG:32622, 8461x8511 px
- id:SR_B2
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crs_transform: [30, 0, 310485, 0, -30, 7401615]
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data_type: unsigned int16
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data_type: unsigned int16
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crs_transform: [30, 0, 310485, 0, -30, 7401615]
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data_type: unsigned int16
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crs_transform: [30, 0, 310485, 0, -30, 7401615]
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data_type: unsigned int8
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crs_transform: [30, 0, 310485, 0, -30, 7401615]
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data_type: unsigned int16
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9: "ST_ATRAN", signed int16, EPSG:32622, 8461x8511 px
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crs_transform: [30, 0, 310485, 0, -30, 7401615]
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data_type: signed int16
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10: "ST_CDIST", signed int16, EPSG:32622, 8461x8511 px
- id:ST_CDIST
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crs_transform: [30, 0, 310485, 0, -30, 7401615]
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data_type: signed int16
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- id:ST_DRAD
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crs_transform: [30, 0, 310485, 0, -30, 7401615]
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data_type: signed int16
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- id:ST_EMIS
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data_type: signed int16
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- id:ST_EMSD
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data_type: signed int16
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14: "ST_QA", signed int16, EPSG:32622, 8461x8511 px
- id:ST_QA
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crs_transform: [30, 0, 310485, 0, -30, 7401615]
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data_type: signed int16
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15: "ST_TRAD", signed int16, EPSG:32622, 8461x8511 px
- id:ST_TRAD
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crs_transform: [30, 0, 310485, 0, -30, 7401615]
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data_type: signed int16
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dimensions: [8461, 8511]
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16: "ST_URAD", signed int16, EPSG:32622, 8461x8511 px
- id:ST_URAD
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crs_transform: [30, 0, 310485, 0, -30, 7401615]
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data_type: signed int16
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dimensions: [8461, 8511]
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17: "QA_PIXEL", unsigned int16, EPSG:32622, 8461x8511 px
- id:QA_PIXEL
- crs:EPSG:32622
crs_transform: [30, 0, 310485, 0, -30, 7401615]
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data_type: unsigned int16
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dimensions: [8461, 8511]
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18: "QA_RADSAT", unsigned int16, EPSG:32622, 8461x8511 px
- id:QA_RADSAT
- crs:EPSG:32622
crs_transform: [30, 0, 310485, 0, -30, 7401615]
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data_type: unsigned int16
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dimensions: [8461, 8511]
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properties: Object (95 properties)
- ALGORITHM_SOURCE_SURFACE_REFLECTANCE:LaSRC_1.6.0
- ALGORITHM_SOURCE_SURFACE_TEMPERATURE:st_1.5.0
- CLOUD_COVER:1.29
- CLOUD_COVER_LAND:2.06
- COLLECTION_CATEGORY:T1
- COLLECTION_NUMBER:2
- DATA_SOURCE_AIR_TEMPERATURE:VIIRS
- DATA_SOURCE_ELEVATION:GLS2000
- DATA_SOURCE_OZONE:VIIRS
- DATA_SOURCE_PRESSURE:Calculated
- DATA_SOURCE_REANALYSIS:GEOS-5 IT
- DATA_SOURCE_TIRS_STRAY_LIGHT_CORRECTION:TIRS
- DATA_SOURCE_WATER_VAPOR:VIIRS
- DATE_ACQUIRED:2025-08-27
- DATE_PRODUCT_GENERATED:1756873362000
- DATUM:WGS84
- EARTH_SUN_DISTANCE:1.0102845
- ELLIPSOID:WGS84
- EPHEMERIS_TYPE:SPACECRAFT
- GEOMETRIC_RMSE_MODEL:2.781
- GEOMETRIC_RMSE_MODEL_X:1.857
- GEOMETRIC_RMSE_MODEL_Y:2.07
- GEOMETRIC_RMSE_VERIFY:1.385
- GRID_CELL_SIZE_REFLECTIVE:30
- GRID_CELL_SIZE_THERMAL:30
- GROUND_CONTROL_POINTS_MODEL:1456
- GROUND_CONTROL_POINTS_VERIFY:158
- GROUND_CONTROL_POINTS_VERSION:5
- IMAGE_QUALITY_OLI:9
- IMAGE_QUALITY_TIRS:9
- L1_DATE_PRODUCT_GENERATED:2025-09-03T03:49:22Z
- L1_LANDSAT_PRODUCT_ID:LC08_L1TP_008014_20250827_20250903_02_T1
- L1_PROCESSING_LEVEL:L1TP
- L1_PROCESSING_SOFTWARE_VERSION:LPGS_16.5.0
- L1_REQUEST_ID:2142047_00014
- LANDSAT_PRODUCT_ID:LC08_L2SP_008014_20250827_20250903_02_T1
- LANDSAT_SCENE_ID:LC80080142025239LGN00
- MAP_PROJECTION:UTM
- NADIR_OFFNADIR:NADIR
- ORIENTATION:NORTH_UP
- PROCESSING_LEVEL:L2SP
- PROCESSING_SOFTWARE_VERSION:LPGS_16.5.0
- REFLECTANCE_ADD_BAND_1:-0.2
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- REFLECTANCE_MULT_BAND_1:2.75e-05
- REFLECTANCE_MULT_BAND_2:2.75e-05
- REFLECTANCE_MULT_BAND_3:2.75e-05
- REFLECTANCE_MULT_BAND_4:2.75e-05
- REFLECTANCE_MULT_BAND_5:2.75e-05
- REFLECTANCE_MULT_BAND_6:2.75e-05
- REFLECTANCE_MULT_BAND_7:2.75e-05
- REFLECTIVE_LINES:8511
- REFLECTIVE_SAMPLES:8461
- REQUEST_ID:2142047_00014
- ROLL_ANGLE:-0.001
- SATURATION_BAND_1:N
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- SATURATION_BAND_3:N
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- SCENE_CENTER_TIME:14:55:40.0280190Z
- SENSOR_ID:OLI_TIRS
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- STATION_ID:LGN
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- TIRS_SSM_MODEL:FINAL
- TIRS_SSM_POSITION_STATUS:ESTIMATED
- TRUNCATION_OLI:UPPER
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system:footprint: LinearRing (20 vertices)
- type:LinearRing
coordinates: List (20 elements)
0: [-49.6566264009968, 66.05635530145483]
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1: [-49.64238570365924, 66.0694366595793]
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# Define a function to perform the NDSI calculation and pixel counting
def calculate_glacier_area(image):
# Clip the image to the specified region
image = image.clip(outline)
# Calculate NDSI
ndsi = image.normalizedDifference([r_high, r_low]).rename('NDSI')
# Threshold the image
ndsi_threshold = ndsi.gt(threshold)
# Mask data
ndsi_threshold = ndsi_threshold.updateMask(ndsi_threshold.neq(0))
# Count pixels
pixel_count = ndsi_threshold.reduceRegion(
reducer=ee.Reducer.count(),
geometry=outline,
scale=scale,
maxPixels=1e9 # Allow for large calculations
)
# Add the pixel count as a property to the image metadata
return image.set('ndsi_pixel_count', pixel_count.get('NDSI'))
# Apply the calculation function to every image in the collection
collection_with_counts = image_collection.map(calculate_glacier_area)
# Return values
start = time.time()
pixel_counts = collection_with_counts.aggregate_array('ndsi_pixel_count')
areas = pixel_counts.getInfo()
end = time.time()
print(f"Execution time: {end - start:.4f} seconds")
Execution time: 1.6133 seconds
# Calculate total area and plot
total_area_km2 = np.array(areas) * pixel_area_m2 / 1000000.0
import matplotlib.pyplot as plt
plt.plot(total_area_km2)
[<matplotlib.lines.Line2D at 0x1232b77d0>]
This is not necessarily the result we were looking for. The rapid changes in ice cap area (from >190 to <100 km2) is not physically possible. There could be several possible reasons for this.
My first suspicion was that even though we picked a relatively large temporal period (Jul 1 to Aug 31), the least cloudy image may still contain a lot of clouds. To investigate, we can plot the cloud cover for each image.
# Define cloud cover
cloud_cover_list = image_collection.aggregate_array('CLOUD_COVER')
cloud_cover = cloud_cover_list.getInfo()
fig, ax1 = plt.subplots(figsize=(8, 4))
color1 = 'tab:blue'
ax1.set_ylabel('Glacier Area (km²)', color=color1)
ax1.plot(total_area_km2, color=color1, marker='o', label='Glacier Area')
ax1.tick_params(axis='y', labelcolor=color1)
ax1.grid(True)
# Create a twin Axes sharing the x-axis
ax2 = ax1.twinx()
color2 = 'tab:red'
ax2.set_ylabel('Cloud Cover (%)', color=color2)
ax2.plot(cloud_cover, color=color2, marker='x', linestyle='--', label='Cloud Cover')
ax2.tick_params(axis='y', labelcolor=color2)
It looks like cloud cover was pretty low for all our images, certainly not enough to change the ice cap area by tens of kilometers squared.
Let’s visualize the ImageCollection to see what is going on. Fortunately, geemap provides several functions for displaying image collections.
Map = geemap.Map(center=[40, -100], zoom=4)
vis_params = {'bands': ['SR_B4', 'SR_B3', 'SR_B2']}
years = image_collection.aggregate_array('system:index').getInfo()
Map.ts_inspector(left_ts=image_collection, right_ts=image_collection,
left_names=years, right_names=years, left_vis=vis_params,right_vis=vis_params,
width='80px')
Map.centerObject(region, zoom=11)
Map
The time-series inspector function provides a slider for visualizing two images side-by-side. We find that some images do not have full coverage of the ice cap.
Map = geemap.Map()
vis_params = {'bands': ['SR_B4', 'SR_B3', 'SR_B2']}
Map.add_time_slider(image_collection, vis_params, time_interval=1)
Map.centerObject(region, zoom=11)
Map
The time slider makes a video of our ImageCollection that shows that there is tremendous variation in the reflectance of the ice cap from year to year. In some years, the ice cap is fully snow-covered in late-summer. In other years, the snow has melted to reveal glacier across most of the ice cap. Given the variations in reflectance, a simple thresholding approach to classify the ice cap may therefore not be sufficient.
Summary#
In this lecture, we learnt how to use Google Earth Engine for analyzing area changes of an ice cap in western Greenland. There are several important lessons to takeaway.
Earth Engine requires slightly different programming techniques because processing is not performed locally. To get the most out of Earth Engine, we should write code that is executed relatively infrequently. Since we do not often execute code, it can be more challenging to debug.
A good strategy for using Earth Engine is to work backwards. If we can specifically define the information that we need (e.g. area of ice cap), then we can reduce the number (and size) of requests that we make to Earth Engine servers which will rapidly speed up our code.
One way to ensure that our analysis is performing as it should is to have “eyes on the data”.
geemapprovides many functions to quickly do this.Our time period (2015-2025) was too short to detect changes in ice cap area, which are likely going to be small, even under climate change.
We may find larger changes if we used Landsat data from 1980s and 1990s. But this would require using a different classification approach because Landsat 5 has a different sensor to Landsat 8. However, training deep learning models is not supported in Earth Engine’s APIs. Instead, we have to train a model outside of Earth Engine, and then import it to make predictions.
Further reading#
Area, volume and ELA changes of West Greenland local glaciers and ice caps from 1985–2020
Earth Engine and Geemap - Geospatial Data Science with Python