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references.bib
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@Article{appel2019,
AUTHOR = {Appel, Marius and Pebesma, Edzer},
TITLE = {On-Demand Processing of Data Cubes from Satellite Image Collections with the gdalcubes Library},
JOURNAL = {Data},
VOLUME = {4},
YEAR = {2019},
NUMBER = {3},
ARTICLE-NUMBER = {92},
URL = {https://www.mdpi.com/2306-5729/4/3/92},
ISSN = {2306-5729},
DOI = {10.3390/data4030092}
}
@Manual{stars,
title = {stars: Spatiotemporal Arrays, Raster and Vector Data Cubes},
author = {Edzer Pebesma},
year = {2019},
note = {R package version 0.3-1},
url = {https://CRAN.R-project.org/package=stars},
}
@Manual{terra,
title = {terra: Spatial Data Analysis},
author = {Robert J. Hijmans},
year = {2022},
note = {R package version 1.5-21},
url = {https://CRAN.R-project.org/package=terra},
}
@Manual{raster,
title = {raster: Geographic Data Analysis and Modeling},
author = {Robert J. Hijmans},
year = {2019},
note = {R package version 2.9-5},
url = {https://CRAN.R-project.org/package=raster},
}
@Manual{mapview,
title = {mapview: Interactive Viewing of Spatial Data in R},
author = {Tim Appelhans and Florian Detsch and Christoph Reudenbach and Stefan Woellauer},
year = {2019},
note = {R package version 2.7.0},
url = {https://CRAN.R-project.org/package=mapview},
}
@Article{sf,
author = {Edzer Pebesma},
title = {{Simple Features for R: Standardized Support for Spatial Vector Data}},
year = {2018},
journal = {{The R Journal}},
doi = {10.32614/RJ-2018-009},
url = {https://doi.org/10.32614/RJ-2018-009},
pages = {439--446},
volume = {10},
number = {1},
}
@Manual{rgdal,
title = {rgdal: Bindings for the 'Geospatial' Data Abstraction Library},
author = {Roger Bivand and Tim Keitt and Barry Rowlingson},
year = {2019},
note = {R package version 1.4-3},
url = {https://CRAN.R-project.org/package=rgdal},
}
@InProceedings{rstac,
title = {Rstac: An R Package to Access Spatiotemporal Asset Catalog Satellite Imagery},
author = {Rolf Simoes and Felipe Souza and Matheus Zaglia and Gilberto Ribeiro Queiroz and Rafael Santos and Karine Ferreira},
booktitle = {2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS},
year = {2021},
pages = {7674-7677},
doi = {10.1109/IGARSS47720.2021.9553518},
}