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rsi
View on CRAN: Click
here
Download and install rsi package within the R console
Install from CRAN:
install.packages("rsi")
Install from Github:
library("remotes")
install_github("cran/rsi")
Install by package version:
library("remotes")
install_version("rsi", "0.2.0")
Attach the package and use:
library("rsi")
Maintained by
Michael Mahoney
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-01-10
Latest Update: 2024-02-13
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'.
How to cite:
Michael Mahoney (2024). rsi: Efficiently Retrieve and Process Satellite Imagery. R package version 0.2.0, https://cran.r-project.org/web/packages/rsi
Previous versions and publish date:
Other packages that cited rsi R package
View rsi citation profile
Other R packages that rsi depends,
imports, suggests or enhances
Functions, R codes and Examples using
the rsi R package
Some associated functions: calculate_indices . default_query_function . dem_band_mapping . filters . get_stac_data . landsat_band_mapping . landsat_mask_function . landsat_platform_filter . rsi-package . sentinel1_band_mapping . sentinel2_band_mapping . sentinel2_mask_function . sign_planetary_computer . spectral_indices . spectral_indices_url . stack_rasters .
Some associated R codes: calculate_indices.R . check_type_and_length.R . data.R . filters.R . get_stac_data.R . landsat_platform_filter.R . mask_functions.R . misc.R . query_and_sign.R . rsi-package.R . spectral_indices.R . stack_rasters.R . Full rsi package functions and examples
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