# -------------------------------------------- # 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: 0.3.0.9000 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) ) 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://cafri-labs.r-universe.dev repository-code: https://github.com/Permian-Global-Research/rsi commit: 4a901ed3081f85fe2b989bc07a0403c47830a14b 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