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gdalcubes  

Earth Observation Data Cubes from Satellite Image Collections
View on CRAN: Click here


Download and install gdalcubes package within the R console
Install from CRAN:
install.packages("gdalcubes")

Install from Github:
library("remotes")
install_github("cran/gdalcubes")

Install by package version:
library("remotes")
install_version("gdalcubes", "0.7.1")



Attach the package and use:
library("gdalcubes")
Maintained by
Marius Appel
[Scholar Profile | Author Map]
First Published: 2019-05-24
Latest Update: 2023-04-14
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) for further details.
How to cite:
Marius Appel (2019). gdalcubes: Earth Observation Data Cubes from Satellite Image Collections. R package version 0.7.1, https://cran.r-project.org/web/packages/gdalcubes. Accessed 03 May. 2025.
Previous versions and publish date:
0.1.0 (2019-05-24 12:00), 0.2.0 (2019-08-08 17:00), 0.2.1 (2019-08-21 14:20), 0.2.2 (2019-10-16 00:10), 0.2.3 (2019-10-21 15:30), 0.2.4 (2020-02-02 16:00), 0.2.5 (2020-05-18 00:30), 0.3.0 (2020-08-06 01:10), 0.3.1 (2020-08-27 13:40), 0.4.0 (2021-07-13 14:00), 0.4.1 (2021-07-29 15:00), 0.5.0 (2021-10-28 15:30), 0.5.1 (2021-12-03 11:00), 0.6.0 (2022-03-08 09:40), 0.6.1 (2022-03-23 02:10), 0.6.2 (2022-10-10 23:20), 0.6.3 (2023-01-19 12:30), 0.6.4 (2023-04-14 13:50), 0.7.0 (2024-03-07 01:00)
Other packages that cited gdalcubes R package
View gdalcubes citation profile
Other R packages that gdalcubes depends, imports, suggests or enhances
Complete documentation for gdalcubes
Functions, R codes and Examples using the gdalcubes R package
Some associated functions: add_collection_format . add_images . aggregate_space . aggregate_time . animate . apply_pixel.array . apply_pixel.cube . apply_pixel . apply_time.array . apply_time.cube . apply_time . as_array . as_json . bands . chunk_apply . collection_formats . create_image_collection . crop . cube_view . dim.cube . dimension_bounds . dimension_values . dimensions . dot-copy_cube . extent . extract_geom . fill_time . filter_geom . filter_pixel . gdalcubes . gdalcubes_gdal_has_geos . gdalcubes_gdalformats . gdalcubes_gdalversion . gdalcubes_options . gdalcubes_selection . gdalcubes_set_gdal_config . gdalcubes_version . image_collection . image_mask . join_bands . json_cube . memsize . names.cube . nbands . ncdf_cube . nt . nx . ny . pack_minmax . plot.cube . print.cube . print.cube_view . print.image_collection . proj4 . raster_cube . read_chunk_as_array . reduce_space.array . reduce_space.cube . reduce_space . reduce_time.array . reduce_time.cube . reduce_time . rename_bands . select_bands . select_time . size . slice_space . slice_time . srs . st_as_stars.cube . stac_image_collection . stack_cube . window_time.cube . window_time . write_chunk_from_array . write_ncdf . write_tif . 
Some associated R codes: RcppExports.R . aggregate_space.R . aggregate_time.R . animate.R . apply_pixel.R . apply_time.R . chunk_apply.R . coerce.R . config.R . crop.R . cube.R . dummy.R . extract.R . fill_time.R . filter_geom.R . filter_pixel.R . gdalcubes.R . image_collection.R . join_bands.R . ncdf_cube.R . plot.R . reduce.R . rename_bands.R . select_bands.R . select_time.R . selection.R . slice.R . stac.R . streaming.R . view.R . window.R . zzz.R .  Full gdalcubes package functions and examples
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