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: |
0.3.1 |
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: |
2024-10-22 |
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 |