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Land Surface Temperature Estimation

Computes Land Surface Temperature over Sentinel-2 imagery.

Description

Land Surface Temperature Estimation takes Sentinel 2 images as input and applies machine learning algorithms to estimate the Land Surface Temperature with a spatial resolution of 10 meters.

The estimation of Land Surface Temperature enables companies and system integrators to analyse heat urban bubbles in urban areas and to plan more sustainable and resilient cities.

Supported Input

More Information

For more information about his block, please see the provider website.

Capabilities

Input Capabilities

raster
up42_standard
bands
[
  "coastal",
  "blue",
  "green",
  "red",
  "rededge",
  "rededge2",
  "rededge3",
  "nir",
  "nir2",
  "watervapour",
  "swir",
  "swir2",
  "swir3"
]
dtype
uint8
format
GTiff
sensor
Sentinel2
resolution
10
processing_level
l2

Output Capabilities

raster
up42_standard
dtype
float
format
GTiff
resolution
10

End User License Agreement

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