#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 nearinfrared (NIR) and green bands.

CIg = [(NIR / Green)1]

NIR = pixel values from the nearinfrared band
Green = pixel values from the green band

Using a spacedelimited 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 EOSMODIS," Remote Sensing of Environment,
Vol. 58, 289–298.

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For more information: https://www.indexdatabase.de/db/isin...

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*(10.25*eta)((Red0.125)/(1Red))
where,

eta = (2*(NIR^2Red^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 spacedelimited 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 nonlinear index to monitor global vegetation from satellites," Plant Ecology, Vol. 101, 15–20.

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