Soil Salinity Indices Generation using Satellite Data

The developed function generates soil salinity indices using satellite data, utilizing multiple spectral bands such as Blue, Green, Red, Near-Infrared (NIR), and Shortwave Infrared (SWIR1, SWIR2). It computes 24 different salinity indices crucial for monitoring and analyzing salt-affected soils efficiently. For more details see, Rani, et al. (2022). . One of the key features of the developed function is its flexibility. Users can provide any combination of the required spectral bands, and the function will automatically calculate only the relevant indices based on the available data. This dynamic capability ensures that users can maximize the utility of their data without the need for all spectral bands, making the package versatile and user-friendly. Outputs are provided as GeoTIFF file format, facilitating easy integration with GIS workflows.


Reference manual

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install.packages("SoilSaltIndex")

0.1.0 by Nobin Chandra Paul, 2 years ago


Browse source code at https://github.com/cran/SoilSaltIndex


Authors: Nirmal Kumar [aut, cph] , Nobin Chandra Paul [aut, cre]


Documentation:   PDF Manual  


GPL (>= 2.0) license


Imports raster, sp

Suggests knitr, rmarkdown, testthat


See at CRAN