Vegetation indices {RemoteSensing} | R Documentation |
Compute vegetation indices from remote sensing data.
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)
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 |
vegetation index
Yann Chemin
## 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)