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: 0.3.2 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: 2025-01-22 DOI: 10.32614/CRAN.package.rsi Author: Michael Mahoney [aut, cre], Felipe Carvalho [rev] (Felipe reviewed the package (v. 0.3.0) for rOpenSci, see <https://github.com/ropensci/software-review/issues/636>), Michael Sumner [rev] (Michael reviewed the package (v. 0.3.0) for rOpenSci, see <https://github.com/ropensci/software-review/issues/636>), Permian Global [cph, fnd] Maintainer: Michael Mahoney <mike.mahoney.218 at gmail.com> BugReports: https://github.com/Permian-Global-Research/rsi/issues License: Apache License (≥ 2) URL: https://github.com/Permian-Global-Research/rsi, https://permian-global-research.github.io/rsi/ NeedsCompilation: no Citation: rsi citation info Materials: README NEWS In views: Spatial CRAN checks: rsi results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=rsi to link to this page.
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