vegetationIndices: Vegetation indices

In RemoteSensing: Remote Sensing

Description

Compute vegetation indices from remote sensing data.

Usage

arvi(red, nir, blue)
dvi(red, nir)
evi(blue, red, nir)
gvi(blue, green, red, nir, ch5, ch7)
gemi(red, nir)
gari(red, nir, blue, green)
ipvi(red, nir)
msavi(red, nir)
msavi2(red, nir)
ndvi(red, nir)
pvi(red, nir)
sr(red, nir)
savi(red, nir)
vari(blue, green, red)
wdvi(red, nir, slslope = 1)

Arguments

red	red channel (band) data
nir	nir channel (band) data
blue	blue channel (band) data
green	green channel (band) data
ch5	fifth channel (band) data
ch7	seventh channel (band) data
slslope	value of soil line slope

Value

vegetation index

Author(s)

Yann Chemin

Examples

## Not run: 
#MODIS NDVI processing example
#Create RasterLayer objects
red <- raster( system.file("external/MOD09A1_b1.tif", package="RemoteSensing"))
nir <- raster( system.file("external/MOD09A1_b2.tif", package="RemoteSensing"))

#Set NA values before reading
NAvalue(red) <- -28672
NAvalue(nir) <- -28672

NDVI <- overlay(red, nir, fun=ndvi)

#Plot the raster output
plot(NDVI, col=grey(0:255/255))

#add Philippines country boundary
#phl <- getData('gadm', country="PHL", level=0)
#plot(phl, add=T, border="red")

## End(Not run)

RemoteSensing documentation built on Feb. 7, 2020, 3 p.m.