Package: gdalcubes 0.7.4

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.

Authors:Marius Appel [aut, cre], Edzer Pebesma [ctb], Roger Bivand [ctb], Jeroen Ooms [ctb], Lewis Van Winkle [cph], Ole Christian Eidheim [cph], Howard Hinnant [cph], Adrian Colomitchi [cph], Florian Dang [cph], Paul Thompson [cph], Tomasz Kamiński [cph], Dropbox, Inc. [cph]

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manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
gdalcubes/json (API)

# Install 'gdalcubes' in R:

install.packages('gdalcubes', repos = c('https://appelmar.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/appelmar/gdalcubes/issues

Uses libs:

gdal– Geospatial Data Abstraction Library
netcdf– Interface for scientific data access to large binary data
c++– GNU Standard C++ Library v3

On CRAN:

remote-sensing satellite-imagery spatial-analysis gdal netcdf cpp

8.94 score 130 stars 438 scripts 1.3k downloads 59 exports 4 dependencies

Last updated from:2cc0d46d6d. Checks:12 OK, 1 FAIL. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	347
linux-devel-x86_64	OK	328
source / vignettes	OK	554
linux-release-arm64	OK	359
linux-release-x86_64	OK	347
macos-release-arm64	OK	259
macos-release-x86_64	OK	560
macos-oldrel-arm64	OK	301
macos-oldrel-x86_64	OK	527
windows-devel	OK	803
windows-release	OK	807
windows-oldrel	OK	739
wasm-release	FAIL	159

Exports:add_collection_format add_images aggregate_space aggregate_time animate apply_pixel apply_time as_array as_json bands chunk_apply collection_formats create_image_collection crop cube_view dimension_bounds dimension_values dimensions extent extract_geom fill_time filter_geom filter_pixel gdalcubes_gdal_has_geos gdalcubes_gdalformats gdalcubes_gdalversion gdalcubes_options gdalcubes_set_gdal_config image_collection image_mask join_bands json_cube memsize nbands ncdf_cube nt nx ny pack_minmax proj4 raster_cube read_chunk_as_array reduce_space reduce_time rename_bands select_bands select_time size slice_space slice_time srs st_as_stars.cube stac_image_collection stack_cube window_space window_time write_chunk_from_array write_ncdf write_tif

Dependencies:BH jsonlite ncdf4 Rcpp

Creating data cubes from local MODIS imagery

Rendered fromgc01_MODIS.Rmdusingknitr::rmarkdown

Last update: 2025-03-18
Started: 2022-03-03

Help page	Topics
Create a data cube proxy object copy	.copy_cube
Download and install an image collection format from a URL	add_collection_format
Add images to an existing image collection	add_images
Spatial aggregation of data cubes	aggregate_space
Aggregate data cube time series to lower temporal resolution	aggregate_time
Animate a data cube as an image time series	animate
Apply a function over (multi-band) pixels	apply_pixel
Apply a function over pixels in a four-dimensional (band, time, y, x) array	apply_pixel.array
Apply arithmetic expressions over all pixels of a data cube	apply_pixel.cube
Apply a function over (multi-band) pixel time series	apply_time
Apply a function over pixel time series in a four-dimensional (band, time, y, x) array	apply_time.array
Apply a user-defined R function over (multi-band) pixel time series	apply_time.cube
Convert a data cube to an in-memory R array	as_array
Query data cube properties	as_json
Convert a data cube to a data.frame	as.data.frame.cube
Query data cube properties	bands
Apply an R function on chunks of a data cube	chunk_apply
List predefined image collection formats	collection_formats
Create an image collection from a set of GDAL datasets or files	create_image_collection
Crop data cube extent by space and/or time	crop
Create or update a spatiotemporal data cube view	cube_view
Query data cube properties	dim.cube
Query coordinate bounds for all dimensions of a data cube	dimension_bounds
Query coordinate values for all dimensions of a data cube	dimension_values
Query data cube properties	dimensions
Derive the spatiotemporal extent of an image collection	extent
Extract values from a data cube by spatial or spatiotemporal features	extract_geom
Fill NA data cube pixels by simple time series interpolation	fill_time
Filter data cube pixels by a polygon	filter_geom
Filter data cube pixels by a user-defined predicate on band values	filter_pixel
gdalcubes: Earth Observation Data Cubes from Satellite Image Collections	gdalcubes-package gdalcubes
Check if GDAL was built with GEOS	gdalcubes_gdal_has_geos
Get available GDAL drivers	gdalcubes_gdalformats
Get the GDAL version used by gdalcubes	gdalcubes_gdalversion
Set or read global options of the gdalcubes package	gdalcubes_options
Subsetting data cubes	$.cube gdalcubes_selection [.cube
Set GDAL config options	gdalcubes_set_gdal_config
Load an existing image collection from a file	image_collection
Create a mask for images in a raster data cube	image_mask
Join bands of two identically shaped data cubes	join_bands
Read a data cube from a json description file	json_cube
Query data cube properties	memsize
Query data cube properties	names.cube
Query data cube properties	nbands
Read a data cube from an existing netCDF file	ncdf_cube
Query data cube properties	nt
Query data cube properties	nx
Query data cube properties	ny
Helper function to define packed data exports by min / max values	pack_minmax
Plot a gdalcubes data cube	plot.cube
Model prediction	predict.cube
Print data cube information	print.cube
Print data cube view information	print.cube_view
Print image collection information	print.image_collection
Query data cube properties	proj4
Create a data cube from an image collection	raster_cube
Read chunk data of a data cube from stdin or a file	read_chunk_as_array
Reduce multidimensional data over space	reduce_space
Apply a function over space and bands in a four-dimensional (band, time, y, x) array and reduce spatial dimensions	reduce_space.array
Reduce a data cube over spatial (x,y or lat,lon) dimensions	reduce_space.cube
Reduce multidimensional data over time	reduce_time
Apply a function over time and bands in a four-dimensional (band, time, y, x) array and reduce time dimension	reduce_time.array
Reduce a data cube over the time dimension	reduce_time.cube
Rename bands of a data cube	rename_bands
Select bands of a data cube	select_bands
Select time slices of a data cube	select_time
Query data cube properties	size
Extract a single time series (spatial slice) from a data cube	slice_space
Extract a single time slice from a data cube	slice_time
Query data cube properties	srs
Coerce gdalcubes object into a stars object	st_as_stars.cube
Create an image collection from a STAC feature collection	stac_image_collection
Create a data cube from a set of images with the same spatial extent and spatial reference system	stack_cube
Apply a moving window (focal) operation or a convolution kernel over spatial dimensions of a data cube.	window_space
Apply a moving window operation over the time dimension of a data cube	window_time
Write chunk data of a cube to stdout or a file	write_chunk_from_array
Export a data cube as netCDF file(s)	write_ncdf
Export a data cube as a collection of GeoTIFF files	write_tif

Package: gdalcubes 0.7.4

gdalcubes: Earth Observation Data Cubes from Satellite Image Collections

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