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25 lines
1.4 KiB
R
25 lines
1.4 KiB
R
#' gdalcubes: Earth Observation Data Cubes from Satellite Image Collections
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#'
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#' Processing collections of Earth observation images as on-demand multispectral, multitemporal raster data cubes. Users
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#' define cubes by spatiotemporal extent, resolution, and spatial reference system and let 'gdalcubes' automatically apply cropping, reprojection, and
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#' resampling using the 'Geospatial Data Abstraction Library' ('GDAL'). Implemented functions on data cubes include reduction over space and time,
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#' applying arithmetic expressions on pixel band values, moving window aggregates over time, filtering by space, time, bands, and predicates on pixel values,
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#' exporting data cubes as 'netCDF' or 'GeoTIFF' files, plotting, and extraction from spatial and or spatiotemporal features.
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#' All computational parts are implemented in C++, linking to the 'GDAL', 'netCDF', 'CURL', and 'SQLite' libraries.
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#' See Appel and Pebesma (2019) <doi:10.3390/data4030092> for further details.
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#'
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#' @docType package
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#' @name gdalcubes
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#' @importFrom Rcpp sourceCpp
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#' @useDynLib gdalcubes
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#'
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#' @importFrom grDevices grey rainbow dev.off dev.size png col2rgb dev.capabilities
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#' @importFrom graphics axis box image.default layout lcm par plot rasterImage rect title legend lines
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#' @importFrom stats quantile rnorm complete.cases
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#' @importFrom utils head download.file object.size
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#' @import jsonlite ncdf4
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#'
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#'
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#'
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