Soil_Salinity_Indices {SoilSaltIndex}

Generation of Soil Salinity Indices using Satellite Data

Description

Generation of Soil Salinity Indices using Satellite Data

Usage

Soil_Salinity_Indices(
  B = NULL,
  G = NULL,
  R = NULL,
  NIR = NULL,
  SW1 = NULL,
  SW2 = NULL
)

Arguments

B

Raster layer representing the Blue band (default NULL)

G

Raster layer representing the Green band (default NULL)

R

Raster layer representing the Red band (default NULL)

NIR

Raster layer representing the Near-Infrared band (default NULL)

SW1

Raster layer representing the Shortwave Infrared band 1 (default NULL)

SW2

Raster layer representing the Shortwave Infrared band 2 (default NULL)

Value

RasterStack of relevant salinity indices based on available input bands

References

1. Rani, A., Kumar, N., Sinha, N. K., & Kumar, J. (2022). Identification of salt-affected soils using remote sensing data through random forest technique: a case study from India. Arabian Journal of Geosciences, 15(5), 381.<DOI:10.1007/s12517-022-09682-3> 2. Kumar et al. (2023). SpatGRID:Spatial Grid Generation from Longitude and Latitude List. R package version 0.1.0.

Examples

library(SoilSaltIndex)
library (raster)
# Example usage:
B <- raster::raster(system.file("extdata", "Blue.tif", package = "SoilSaltIndex"))
G <- raster::raster(system.file("extdata", "Green.tif", package = "SoilSaltIndex"))
R <- raster::raster(system.file("extdata", "Red.tif", package = "SoilSaltIndex"))
NIR <- raster::raster(system.file("extdata", "NIR.tif", package = "SoilSaltIndex"))
SW1 <- raster::raster(system.file("extdata", "SWIR1.tif", package = "SoilSaltIndex"))
SW2 <- raster::raster(system.file("extdata", "SWIR2.tif", package = "SoilSaltIndex"))
Salt_Index <- Soil_Salinity_Indices(B=B, G=G, R=R, NIR=NIR, SW1=SW1, SW2=SW2)
Salt_Index <- Soil_Salinity_Indices(SW1=SW1, SW2=SW2)
Salt_Index <- Soil_Salinity_Indices(B=B, G=G, R=R, NIR=NIR)