rsi: Efficiently Retrieve and Process Satellite Imagery

Downloads spatial data from spatiotemporal asset catalogs ('STAC'), computes standard spectral indices from the Awesome Spectral Indices project (Montero et al. (2023) <doi:10.1038/s41597-023-02096-0>) against raster data, and glues the outputs together into predictor bricks. Methods focus on interoperability with the broader spatial ecosystem; function arguments and outputs use classes from 'sf' and 'terra', and data downloading functions support complex 'CQL2' queries using 'rstac'.

Version: 0.2.1
Depends: R (≥ 4.0)
Imports: future.apply, glue, httr, jsonlite, lifecycle, proceduralnames, rlang, rstac, sf, terra, tibble
Suggests: curl, knitr, progressr, rmarkdown, testthat (≥ 3.0.0), withr
Published: 2024-06-27
DOI: 10.32614/CRAN.package.rsi
Author: Michael Mahoney ORCID iD [aut, cre], Permian Global [cph, fnd]
Maintainer: Michael Mahoney <mike.mahoney.218 at>
License: Apache License (≥ 2)
NeedsCompilation: no
Citation: rsi citation info
Materials: README NEWS
In views: Spatial
CRAN checks: rsi results


Reference manual: rsi.pdf
Vignettes: rsi


Package source: rsi_0.2.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): rsi_0.2.1.tgz, r-oldrel (arm64): rsi_0.2.1.tgz, r-release (x86_64): rsi_0.2.1.tgz, r-oldrel (x86_64): rsi_0.2.1.tgz
Old sources: rsi archive


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