\name{imageIndices}
\alias{imageIndices}
\title{
Developing remote sensing indices for soil assessment
}
\description{
The function determines commonly used remote sensing indices with relationship with soil surface or vegetation cover characteristics.
}
\usage{
imageIndices(blue, green,red,nir,swir1,swir2,index)
}
\arguments{
  \item{blue}{
blue image band with wavelength range: 0.452-0.512 µm
}
  \item{green}{
green image band with wavelength range: 0.533-0.59 µm
}
  \item{red}{
red image band with wavelength range: 0.636-0.673 µm
}
  \item{nir}{
NIR image band with wavelength range: 0.851-0.879 µm
}
  \item{swir1}{
SWIR image band with wavelength range: 1.566-1.651 µm
}
  \item{swir2}{
SWIR image band with wavelength range: 2.107-2.294 µm
}
\item{index}{
index from combination of image bands such as NDVI, SAVI, SI, etc. The default is NDVI.
}
}
\details{
The indices are based on multispectral bands: blue, green, red, NIR(near infrared), SWIR1 (short-wave infrared1) and SWIR2(short-wave infrared2)
}
\value{
dimensionless remote sensing index
}
\references{
Gorji T, Yildirim A, Sertel E, Tanik A. 2019. Remote sensing approaches and mapping methods for monitoring soil salinity under different climate regimes. International Journal of Environment and Geoinformatics 6(1): 33-49 (2019)
}
\author{
Christian Thine Omuto
}
\seealso{
\code{\link{featureRep}}
}
\examples{
imageIndices(0.15,0.05,0.18,0.25,0.36,0.45,"SAVI")
}
