Efficiently Retrieve and Process Satellite Imagery R package rsi version 0.3.3 CRAN Task View: Spatial (https://CRAN.R-project.org/view=Spatial) 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'. Software Depends: R (>= 4.1) Imports: future.apply, glue, httr, jsonlite, lifecycle, proceduralnames, rlang, rstac, sf, terra, tibble Suggests: curl, knitr, progressr, rmarkdown, testthat (>= 3.0.0), withr Michael Mahoney <mike.mahoney.218@gmail.com> Comprehensive R Archive Network (CRAN) Michael Mahoney [aut, cre] (ORCID: <https://orcid.org/0000-0003-2402-304X>), 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] Apache License (>= 2) 2026-04-09 application/tgz https://CRAN.R-project.org/package=rsi doi:10.32614/CRAN.package.rsi