ARVI: Atmospheric Resistant Vegetation Index ARVI is resistant to atmospheric effects (in comparison to the NDVI) and is accomplished by a self correcting process for the atmospheric effect in the red channel, using the difference in the radiance between the blue and the red channels.(Kaufman and Tanre 1996). ARVI = (nirchan - (2.0*redchan - bluechan)) / ( nirchan + (2.0*redchan - bluechan)) arvi( redchan, nirchan, bluechan )
DVI: Difference Vegetation Index DVI = ( nirchan - redchan ) dvi( redchan, nirchan )
EVI: Enhanced Vegetation Index Huete A.R., Liu H.Q., Batchily K., vanLeeuwen W. (1997). A comparison of vegetation indices global set of TM images for EOS-MODIS. Remote Sensing of Environment, 59:440-451. EVI = 2.5 * ( nirchan - redchan ) / ( nirchan + 6.0 * redchan - 7.5 * bluechan + 1.0 ) evi( bluechan, redchan, nirchan )
GARI: green atmospherically resistant vegetation index GARI = ( nirchan - (greenchan-(bluechan - redchan))) / ( nirchan- (greenchan-(bluechan - redchan))) gari( redchan, nirchan, bluechan, greenchan )
GEMI: Global Environmental Monitoring Index GEMI = (( (2*((nirchan * nirchan)-(redchan * redchan))+ 1.5*nirchan+0.5*redchan) / (nirchan + redchan + 0.5)) * (1 - 0.25 * (2*((nirchan * nirchan)-(redchan * redchan)) +1.5*nirchan+0.5*redchan) /(nirchan + redchan + 0.5)))- ( (redchan - 0.125) / (1 - redchan)) gemi( redchan, nirchan )
GVI: Green Vegetation Index GVI = ( -0.2848 * bluechan - 0.2435 * greenchan - 0.5436 * redchan + 0.7243 * nirchan + 0.0840 * chan5chan- 0.1800 * chan7chan) gvi( bluechan, greenchan, redchan, nirchan, chan5chan, chan7chan)
IPVI: Infrared Percentage Vegetation Index IPVI = nirchan/(nirchan+redchan) ipvi( redchan, nirchan )
MSAVI2: second Modified Soil Adjusted Vegetation Index MSAVI2 = (1/2)*(2(NIR+1)-sqrt((2*NIR+1)^2-8(NIR-red))) msavi2( redchan, nirchan )
MSAVI: Modified Soil Adjusted Vegetation Index MSAVI = s(NIR-s*red-a) / (a*NIR+red-a*s+X*(1+s*s)) where a is the soil line intercept, s is the soil line slope, and X is an adjustment factor which is set to minimize soil noise (0.08 in original papers). msavi( redchan, nirchan )
NDVI: Normalized Difference Vegetation Index Data Type Band Numbers ([IR, Red]) TM Bands= [4,3] MSS Bands = [7, 5] AVHRR Bands = [2, 1] SPOT XS Bands = [3, 2] AVIRIS Bands = [51, 29] (AVHRR) NDVI = (channel 2 - channel 1) / (channel 2 + channel 1)
PVI: Perpendicular Vegetation Index PVI = sin(a)NIR-cos(a)red for a isovegetation lines (lines of equal vegetation) would all be parallel to the soil line therefore a=1 pvi( redchan, nirchan )
SAVI: Soil Adjusted Vegetation Index SAVI = ((1.0+0.5)*(nirchan - redchan)) / (nirchan + redchan +0.5) savi( redchan, nirchan )
SR: Simple Vegetation ratio SR = (nirchan/redchan) sr( redchan, nirchan )
VARI: Visible Atmospherically Resistant Index VARI = (green - red ) / (green + red - blue) it was designed to introduce an atmospheric self-correction Gitelson A.A., Kaufman Y.J., Stark R., Rundquist D., 2002. Novel algorithms for estimation of vegetation fraction Remote Sensing of Environment (80), pp76-87.
WDVI: Weighted Difference Vegetation Index WDVI = nirchan - a * redchan if(soil_weight_line == None): a = 1.0 #slope of soil line wdvi( redchan, nirchan, soil_line_weight )
Originally from kepler.gps.caltech.edu A FAQ on Vegetation in Remote Sensing Written by Terrill W. Ray Div. of Geological and Planetary Sciences California Institute of Technology email: terrill@mars1.gps.caltech.edu Snail Mail: Terrill Ray Division of Geological and Planetary Sciences Caltech Mail Code 170-25 Pasadena, CA 91125
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