gdalcubes v0.2.5

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by Marius Appel View Source

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, and plotting. The package implements lazy evaluation and multithreading. 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.

Functions in gdalcubes

Name	Description
extent	Derive the spatiotemporal extent of an image collection
filter_pixel	Filter data cube pixels by a user-defined predicate on band values
reduce	Reduce all bands of a data cube over the time dimension with a single reducer function
reduce_space	Reduce multidimensional data over space
gdalcubes	gdalcubes: Earth Observation Data Cubes from Satellite Image Collections
gdalcubes_set_threads	Set the number of threads for parallel data cube processing
gdalcubes_start_server	Start one or more gdalcubes_server background processes
dimensions	Query data cube properties
dimension_values	Query coordinate values for all dimensions of a data cube
nx	Query data cube properties
collection_formats	List predefined image collection formats
fill_time	Fill NA data cube pixels by simple time series interpolation
nbands	Query data cube properties
gdalcubes_stop_server	Stop all gdalcubes_server processes
reduce_time	Reduce multidimensional data over time
query_points	Query data cube values at irregular spatiotemporal points
window_time	Apply a moving window operation over time
reduce_time.array	Apply a function over time and bands in a four-dimensional (band, time, y, x) array
raster_cube	Create a data cube from an image collection
ny	Query data cube properties
gdalcubes_use_cache	Enable or disable caching of cubes.
gdalcubes_options	Set or read global options of the gdalcubes package
dim.cube	Query data cube properties
nt	Query data cube properties
memsize	Query data cube properties
add_collection_format	Download and install an image collection format from a URL
add_images	Add images to an existing image collection
plot.cube	Plot a gdalcubes data cube
gdalcubes_gdalversion	Get the GDAL version used by gdalcubes
pack_minmax	Helper function to define packed data exports by min / max values
window_time.cube	Apply a moving window function over the time dimension of a data cube
reduce_time.cube	Reduce a data cube over the time dimension
names.cube	Query data cube properties
proj4	Query data cube properties
create_image_collection	Create an image collection from a set of GDAL datasets or files
join_bands	Join bands of two identically shaped data cubes
print.image_collection	Print image collection information
gdalcubes_debug_output	Enable or disable debug output from the gdalcubes C++ library
image_mask	Create a mask for images in a raster data cube
print.cube	Print data cube information
gdalcubes_gdalformats	Get available GDAL drivers
size	Query data cube properties
select_bands	Select bands of a data cube
print.cube_view	Print data cube view information
gdalcubes_server_status	Status report of gdalcubes_server instances
srs	Query data cube properties
write_ncdf	Export a data cube as a netCDF file
write_chunk_from_array	Write chunk data of a cube to stdout or a file
gdalcubes_set_ncdf_compression	Set compression level for netCDF files produced by gdalcubes
raster_cube_dummy	Create a dummy data cube with a fill value
image_collection	Load an existing image collection from a file
gdalcubes_version	Query gdalcubes version information
read_chunk_as_array	Read chunk data of a data cube from stdin or a file
reduce_space.array	Apply a function over space and bands in a four-dimensional (band, time, y, x) array
reduce_space.cube	Reduce a data cube over spatial (x,y or lat,lon) dimensions
write_tif	Export a data cube as a collection of GeoTIFF files
apply_pixel.array	Apply a function over pixels in a four-dimensional (band, time, y, x) array
apply_pixel.cube	Apply arithmetic expressions over all pixels of a data cube
animate	Animate a data cube as an image time series
chunk_apply	Apply an R function on chunks of a data cube
bands	Query data cube properties
as_array	Convert a data cube to an in-memory R array
as_json	Query data cube properties
cube_view	Create, update, or query a spatiotemporal data cube view
apply_pixel	Apply a function over (multi-band) pixels
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Vignettes of gdalcubes

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Details

Date	2020-05-17
License	MIT + file LICENSE
URL	https://github.com/appelmar/gdalcubes_R
BugReports	https://github.com/appelmar/gdalcubes_R/issues/
Encoding	UTF-8
LazyData	true
RoxygenNote	7.1.0
LinkingTo	Rcpp, RcppProgress
VignetteBuilder	knitr
Copyright	file inst/COPYRIGHTS
NeedsCompilation	yes
SystemRequirements	cxx11, gdal, libgdal, libproj, libcurl, netcdf4
Packaged	2020-05-17 19:10:00 UTC; marius
Repository	CRAN
Date/Publication	2020-05-17 22:30:02 UTC

imports	jsonlite , ncdf4 , Rcpp , RcppProgress
suggests	knitr , magick , magrittr , processx , rmarkdown , stars
depends	R (>= 3.4)
Contributors	Edzer Pebesma, Roger Bivand, Niels Lohmann, Lewis Van Winkle, Ole Christian Eidheim, Howard Hinnant, Adrian Colomitchi, Florian Dang, Paul Thompson, Tomasz Kami<c5><84>ski