# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "rsi" in publications use:'
type: software
license: Apache-2.0
title: 'rsi: Efficiently Retrieve and Process Satellite Imagery'
version: 0.2.1.9000
doi: 10.5281/zenodo.10926857
identifiers:
- type: doi
  value: 10.32614/CRAN.package.rsi
abstract: Downloads spatial data from spatiotemporal asset catalogs ('STAC'), computes
  standard spectral indices from the Awesome Spectral Indices project (Montero et
  al. (2023) <https://doi.org/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'.
authors:
- family-names: Mahoney
  given-names: Michael
  email: mike.mahoney.218@gmail.com
  orcid: https://orcid.org/0000-0003-2402-304X
preferred-citation:
  type: generic
  title: 'rsi: Efficiently Retrieve and Process Satellite Imagery'
  authors:
  - family-names: Mahoney
    given-names: Michael
    email: mike.mahoney.218@gmail.com
    orcid: https://orcid.org/0000-0003-2402-304X
  url: https://permian-global-research.github.io/rsi/
  doi: 10.5281/zenodo.10926857
  version: 0.2.0.9000
repository: https://permian-global-research.r-universe.dev
repository-code: https://github.com/Permian-Global-Research/rsi
commit: 0f2d5e460eb93f6fcc98df0cfde520ff87d56eae
url: https://permian-global-research.github.io/rsi/
contact:
- family-names: Mahoney
  given-names: Michael
  email: mike.mahoney.218@gmail.com
  orcid: https://orcid.org/0000-0003-2402-304X