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paulinelemenkova / r-python-landsat-srtm-cote-divoire

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Code listings (R and Python) for satellite image processing of Landsat 9 OLI/TIRS and SRTM DEM data: band stacking, RGB/false-colour composites, vegetation indices (NDVI, SAVI, EVI2, ARVI2) via terra/raster, and DEM hillshade via rasterio/earthpy. Cote d'Ivoire; Lemenkova & Debeir (2022), J. Imaging 8(12):317.

python r image-processing raster digital-elevation-model remote-sensing hillshade srtm rasterio terra ndvi evi vegetation-indices satellite-image-processing savi earthpy cote-divoire landsat9 oli-tirs false-color-composite
  • Updated Sep 14, 2026
  • R

paulinelemenkova / python-earthpy-image-processing

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Python scripts for raster and satellite image processing with the EarthPy library: DEM hillshade and 3D surface, multiband stacking, RGB composites, band plots and histograms of Landsat and SRTM data (rasterio, geopandas, matplotlib, plotly).

python geospatial plotly image-processing data-visualization landsat digital-elevation-model remote-sensing hillshade matplotlib satellite-imagery geopandas rasterio raster-processing earthpy rgb-composite
  • Updated Sep 13, 2026
  • Python

paulinelemenkova / python-r-vegetation-terrain-cote-divoire

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LaTeX source for the article 'Satellite Image Processing by Python and R Using Landsat 9 OLI/TIRS and SRTM DEM Data on Côte d'Ivoire, West Africa' (Lemenkova & Debeir, J. Imaging 2022, 8(12):317). Vegetation indices in R (terra/raster) and terrain modelling in Python (EarthPy).

python image-processing landsat digital-elevation-model remote-sensing hillshade r-language ndvi evi terrain-analysis vegetation-indices savi earthpy arvi
  • Updated Sep 14, 2026
  • TeX

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