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# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "gdalcubes" in publications use:'
type: software
license: MIT
title: 'gdalcubes: Earth Observation Data Cubes from Satellite Image Collections'
version: 0.7.4
doi: 10.3390/data4030092
identifiers:
- type: doi
  value: 10.32614/CRAN.package.gdalcubes
abstract: 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) <https://doi.org/10.3390/data4030092>
  for further details.
authors:
- family-names: Appel
  given-names: Marius
  email: marius.appel@hs-bochum.de
  orcid: https://orcid.org/0000-0001-5281-3896
preferred-citation:
  type: article
  title: On-Demand Processing of Data Cubes from Satellite Image Collections with
    the gdalcubes Library
  authors:
  - family-names: Appel
    given-names: Marius
    email: marius.appel@hs-bochum.de
    orcid: https://orcid.org/0000-0001-5281-3896
  - family-names: Pebesma
    given-names: Edzer
  year: '2019'
  journal: Data
  volume: '4'
  issue: '3'
  url: https://doi.org/10.3390/data4030092
  doi: 10.3390/data4030092
repository: https://cranhaven.r-universe.dev
repository-code: https://github.com/appelmar/gdalcubes/issues/
commit: 7d64b2b175abf94e017ff3c11ec11f48059f952c
url: https://github.com/appelmar/gdalcubes
date-released: '2026-05-28'
contact:
- family-names: Appel
  given-names: Marius
  email: marius.appel@hs-bochum.de
  orcid: https://orcid.org/0000-0001-5281-3896
references:
- type: generic
  title: Cloud-based processing of satellite image collections in R using STAC, COGs,
    and on-demand data cubes
  authors:
  - family-names: Appel
    given-names: Marius
  - family-names: Pebesma
    given-names: Edzer
  - family-names: Mohr
    given-names: Matthias
  year: '2021'
  notes: Blog post on r-spatial.org
  url: https://r-spatial.org/r/2021/04/23/cloud-based-cubes.html