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SoilSaltIndex  

Soil Salinity Indices Generation using Satellite Data
View on CRAN: Click here


Download and install SoilSaltIndex package within the R console
Install from CRAN:
install.packages("SoilSaltIndex")

Install from Github:
library("remotes")
install_github("cran/SoilSaltIndex")

Install by package version:
library("remotes")
install_version("SoilSaltIndex", "0.1.0")



Attach the package and use:
library("SoilSaltIndex")
Maintained by
Nobin Chandra Paul
[Scholar Profile | Author Map]
First Published: 2024-06-11
Latest Update: 2024-06-11
Description:
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). <doi:10.1007/s12517-022-09682-3>. 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.
How to cite:
Nobin Chandra Paul (2024). SoilSaltIndex: Soil Salinity Indices Generation using Satellite Data. R package version 0.1.0, https://cran.r-project.org/web/packages/SoilSaltIndex. Accessed 21 Feb. 2025.
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