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appelmar
gdalcubes:Earth Observation Data Cubes from Satellite Image Collections
Processing collections of Earth observation images as on-demand multispectral, multitemporal raster data cubes. Users define cubes by spatiotemporal extent, resolution, and spatial reference system and let 'gdalcubes' automatically apply cropping, reprojection, and resampling using the 'Geospatial Data Abstraction Library' ('GDAL'). Implemented functions on data cubes include reduction over space and time, applying arithmetic expressions on pixel band values, moving window aggregates over time, filtering by space, time, bands, and predicates on pixel values, exporting data cubes as 'netCDF' or 'GeoTIFF' files, plotting, and extraction from spatial and or spatiotemporal features. All computational parts are implemented in C++, linking to the 'GDAL', 'netCDF', 'CURL', and 'SQLite' libraries. See Appel and Pebesma (2019) <doi:10.3390/data4030092> for further details.
Maintained by Marius Appel. Last updated 10 days ago.
remote-sensingsatellite-imageryspatial-analysisgdalnetcdfcpp
124 stars 8.12 score 356 scripts
kurthornik
oz:Plot the Australian Coastline and States
Functions for plotting Australia's coastline and state boundaries.
Maintained by Kurt Hornik. Last updated 2 years ago.
2.19 score 95 scripts