Vegetation

GNDVI: Swapping Red for Green to Read Chlorophyll

Concept article · Updated · by Dr. Anant Kumar Pathak

Chlorophyll absorbs green light less dramatically than red, and that subtlety is the point: GNDVI trades NDVI's red band for green to stay sensitive to canopy chlorophyll and nitrogen well past the point where NDVI has maxed out.

The physical basis

Structurally GNDVI is NDVI with green substituted for red. Green reflectance responds more gradually to rising chlorophyll, so the index keeps climbing at moderate-to-high leaf area where the red band has already saturated. That makes it a better proxy for nitrogen status than raw greenness.

The formula

GNDVI = (NIR − Green) / (NIR + Green)

where NIR is near-infrared reflectance, Green is green reflectance.

Reading the values

Typical range: −1 to +1

Higher = more chlorophyll / nitrogen. More sensitive than NDVI at moderate-to-high leaf area, useful for crop N management.

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Which bands to use

Sentinel-2NIR B8 · Green B3
Landsat 8/9NIR B5 · Green B3

In practice

It is a precision-agriculture favourite for in-season nitrogen management on cereals, and useful for estimating canopy chlorophyll in dense crops where NDVI has gone uninformative.

Where it struggles

The green band is less sensitive than red at low cover, and GNDVI also saturates in very dense canopy.

At low cover GNDVI is actually weaker than NDVI — green is less distinct from soil than red is — so treat it as a tool for established, leafy canopy, not bare or emerging fields.

Compute GNDVI on your own study area

Skip the code. Draw or upload a boundary and Spatial Research Suite runs GNDVI on live Sentinel-2 or Landsat imagery — with cloud masking, exports and citations built in.

Run this analysis in GISforus →

Frequently asked

When is GNDVI better than NDVI?

In dense, established canopy where NDVI has saturated; the green band keeps GNDVI responsive to chlorophyll and nitrogen there.

Is GNDVI good for early-season crops?

Not particularly — at low cover NDVI or SAVI separates vegetation from soil more reliably.

Primary 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 58(3), 289–298.