gdalcubes v0.2.5

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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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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

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