gdalcubes_gdal_has_geos

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.

Marius Appel

gdalcubes

Earth Observation Data Cubes from Satellite Image Collections

Edzer Pebesma

Roger Bivand

Lewis Van Winkle

Ole Christian Eidheim

Howard Hinnant

Adrian Colomitchi

Florian Dang

Paul Thompson

Tomasz Kami<c5><84>ski

Dropbox, Inc. 

gdalcubes_gdal_has_geos function

Check if GDAL was built with GEOS — gdalcubes_gdal_has_geos

Check if GDAL was built with GEOS

gdalcubes_gdal_has_geos: Check if GDAL was built with GEOS

Description

Usage

Arguments

Examples