DESCRIPTION

Package: rsi
Title: Efficiently Retrieve and Process Satellite Imagery
Version: 0.3.1.9000
Authors@R: c(
    person("Michael", "Mahoney", , "mike.mahoney.218@gmail.com", role = c("aut", "cre"),
           comment = c(ORCID = "0000-0003-2402-304X")),
        person("Felipe", "Carvalho", role = "rev",
           comment = "Felipe reviewed the package (v. 0.3.0) for rOpenSci, see <https://github.com/ropensci/software-review/issues/636>"),
    person("Michael", "Sumner", role = "rev",
           comment = "Michael reviewed the package (v. 0.3.0) for rOpenSci, see <https://github.com/ropensci/software-review/issues/636>"),
    person("Permian Global", role = c("cph", "fnd"))
  )
Description: 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'.
License: Apache License (>= 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
Config/testthat/edition: 3
Config/testthat/parallel: true
Encoding: UTF-8
LazyData: true
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.2
URL: https://github.com/Permian-Global-Research/rsi, https://permian-global-research.github.io/rsi/
BugReports: https://github.com/Permian-Global-Research/rsi/issues
VignetteBuilder: knitr