Enhanced Vegetation Index {LSRS} | R Documentation |
Enhanced Vegetation Index
Description
In areas of dense canopy where the leaf area index (LAI) is high, the NDVI values can be improved by leveraging information in the blue wavelength. Information in this portion of the spectrum can help correct for soil background signals and atmospheric influences. The enhanced vegetation index (EVI) is an 'optimized' vegetation index designed to enhance the vegetation signal with improved sensitivity in high biomass regions and improved vegetation monitoring through a de-coupling of the canopy background signal and a reduction in atmosphere influences. EVI is computed following this equation:
VALUE = 2.5*(NIR - Red) / (NIR + 6*Red - 7.5*Blue + 1)
Usage
EVI(a="NIR",b="Red",c="Blue",Pixel.Depth)
Arguments
a |
NIR satellite band (format:TIF) |
b |
Red satellite band (format:TIF) |
c |
Blue satellite band (format:TIF) |
Pixel.Depth |
for satellite image with digital numbers (DN) of 0 to 255,Pixel.Depth=null and for the larger DN, Pixel.Depth=1 |
Note
in some cases for satellite image with very large digital numbers it need to be multiplied with 0.1,0.01,.001,...
Author(s)
Mehdi Sarparast
References
[1] A. Huete, K. Didan, T. Miura, E. P. Rodriguez, X. Gao, L. G. Ferreira. Overview of the radiometric and biophysical performance of the MODIS vegetation indices. Remote Sensing of Environment 83(2002) 195-213.
Examples
## The function is currently defined as
function (a = NIR, b = Red, c = Blue,Pixel.Depth)
{
name=EVI(a,b,c,Pixel.Depth=null)
areaXY <-c(xmin, xmax, ymin, ymax)
cropXY <- crop(name, areaXY)
plot(cropXY,lwd=4, main="EVI",xlab="easting", ylab="northing")
hist(cropXY, main="EVI",
xlab="EVI",col="red", ylab="Frequency of Pixels")
}