Downloading, customizing, and processing time series of satellite images for a region of interest. 'rsat' functions allow a unified access to multispectral images from Landsat, MODIS and Sentinel repositories. 'rsat' also offers capabilities for customizing satellite images, such as tile mosaicking, image cropping and new variables computation. Finally, 'rsat' covers the processing, including cloud masking, compositing and gap-filling/smoothing time series of images (Militino et al., 2018 <doi:10.3390/rs10030398> and Militino et al., 2019 <doi:10.1109/TGRS.2019.2904193>).
Version: 0.1.21 Depends: R (≥ 4.3.0) Imports: XML, curl, httr, leafem, leaflet, rjson, rvest, tmap, xml2, zip, methods, Rdpack, fields, calendR, sf, stars, terra, sp, raster Suggests: knitr, rmarkdown, covr, testthat Published: 2024-02-03 DOI: 10.32614/CRAN.package.rsat Author: Unai Pérez - Goya [aut, cre], Manuel Montesino - SanMartin [aut], Ana F Militino [aut], Maria Dolores Ugarte [aut], Marc Weber [rev] (Marc reviewed rsat (v. 0.1.14) for rOpenSci, see <https://github.com/ropensci/software-review/issues/437>), Kelly Hondula [rev] (Kelly reviewed rsat (v. 0.1.14) for rOpenSci, see <https://github.com/ropensci/software-review/issues/437>) Maintainer: Unai Pérez - Goya <unai.perez at unavarra.es> BugReports: https://github.com/ropensci/rsat/issues License: GPL-3 URL: https://github.com/ropensci/rsat NeedsCompilation: no Citation: rsat citation info Materials: README NEWS CRAN checks: rsat results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=rsat to link to this page.
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