Calculating Chlorophyll Index & Global Environmental Monitoring Index from Landsat 8 -
#Exploretutorials #ArcGIS #Chlorophyll_Index_Global Environmental_Monitoring_Index
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The Chlorophyll Index
Green (CIg) is a vegetation index for
estimating the chlorophyll content in leaves using the ratio of reflectivity in
the near-infrared (NIR) and green bands.
CIg = [(NIR / Green)-1]
NIR = pixel values from the near-infrared band
Green = pixel values from the green band
Using a space-delimited list,
you will identify the NIR and green bands in the following order: NIR Green. For example, 7 3.
Reference:
Gitelson, A.A., Kaufman, Y.J., Merzlyak, M.N., 1996. "Use of a green channel in
remote sensing of global vegetation from EOS-MODIS," Remote Sensing of Environment,
Vol. 58, 289–298.
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For more information: https://www.indexdatabase.de/db/i-sin...
GEMI method
The Global Environmental Monitoring Index (GEMI) is a nonlinear vegetation index for global environmental monitoring from satellite imagery. It's similar to NDVI, but it's less sensitive to atmospheric effects. It is affected by bare soil; therefore, it's not recommended for use in areas of sparse or moderately dense vegetation.
GEMI = eta*(1-0.25*eta)-((Red-0.125)/(1-Red))
where,
eta = (2*(NIR^2-Red^2)+1.5*NIR+0.5*Red)/(NIR+Red+0.5)
NIR = pixel values from the near infrared band
Red = pixel values from the red band
Using a space-delimited list, you will identify the NIR and red bands in the following order: NIR Red. For example, 4 3.
This index outputs values between 0 and 1.
Reference: Pinty, B. and Verstraete, M. M. 1992, "GEMI: a non-linear index to monitor global vegetation from satellites," Plant Ecology, Vol. 101, 15–20.
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