gdalcubes

gdalcubes: Earth Observation Data Cubes from Satellite Image Collections

Description

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.

Usage

See Also

Useful links:

https://github.com/appelmar/gdalcubes Report bugs at https://github.com/appelmar/gdalcubes/issues/

Author(s)

Maintainer: Marius Appel marius.appel@hs-bochum.de (ORCID)

Authors:

Marius Appel marius.appel@hs-bochum.de (ORCID)

Other contributors:

Edzer Pebesma (ORCID) [contributor] Roger Bivand [contributor] Rolf Simoes rolf.simoes@gmail.com [contributor] Felipe Carlos efelipecarlos@gmail.com [contributor] Felipe Souza lipecaso@gmail.com [contributor] Jeroen Ooms (ORCID) [contributor] Lewis Van Winkle [copyright holder] Ole Christian Eidheim [copyright holder] Howard Hinnant [copyright holder] Adrian Colomitchi [copyright holder] Florian Dang [copyright holder] Paul Thompson [copyright holder] Tomasz Kamiński [copyright holder] Dropbox, Inc. [copyright holder]