The script calculates 3 indices for WorldView2 data. The NDVI, the NDWI and the Built-Up Index.
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Updated
Jul 22, 2020 - Python
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builtup-index
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This is a script that reads in Landsat-8 data, Esri Sentinel-2 10m land cover time series data and train a random forest classification algorithm to estimate fractional built cover at 30m scale. The trained model can be used to produce fractional land cover for other regions.
scikit-learn sentinel-2 landsat-8 gdal-python sub-pixel landcover-classification randomforestclassifier builtup-index
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Updated
Mar 31, 2022 - Python
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