# gdalcubes

Canonical: https://gisforweb.com/tools/gdalcubes/

R package and C++ library for building and processing Earth observation data cubes.

gdalcubes turns irregular collections of satellite images into regular four-dimensional raster data cubes, hiding differences in map projections, spatial overlaps and resolutions between scenes and spectral bands. Cubes are processed with pixel-wise arithmetic, space and time summaries, filters, user-defined R functions and machine-learning models while only small memory-friendly chunks are read at a time. It is used with Sentinel-2, Sentinel-5P, Landsat, MODIS, PlanetScope and GPM data, and exports cubes as NetCDF or GeoTIFF.

## Details

- Type: library

- Categories: raster, analysis, data-processing

- Open source: Yes

- Pricing model: open-source

- License: MIT

## Features

- Regular 4D cubes from image collections

- Pixel arithmetic and vegetation indices

- Space and time summary statistics

- Time series extraction for points and polygons

- Machine learning training data and prediction

- Chunked processing with low memory footprint

- NetCDF and GeoTIFF export

## Project sources

- Website: https://gdalcubes.github.io/

- Documentation: https://gdalcubes.github.io/source/reference/index.html

- Repository: https://github.com/appelmar/gdalcubes

Directory descriptions are summaries. Verify current capabilities and terms with the project sources.