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oli-tirs

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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 / r-landsat8-oli-tirs-image-processing

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R script for loading, inspecting and visualising a Landsat 8 OLI/TIRS scene with raster/sp/rgdal: band I/O, CRS/grid inspection, NIR reflectance histogram, class-break mapping, band stacking and true-/false-colour composites. Example: Rio Piranhas, Brazil.

r brazil geospatial image-processing raster remote-sensing satellite-imagery sp landsat8 rgdal rgb-composite oli-tirs false-color-composite
  • Updated Sep 13, 2026
  • R

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