VARI: Estimating Green Cover From an Ordinary RGB Photo
Not every camera carries a near-infrared band — drones, phones and consumer cameras do not. VARI was built to squeeze a vegetation-fraction estimate out of the visible bands alone, which is why it has become a go-to index for low-cost aerial imagery.
How it works
VARI is a normalized combination of green, red and blue that mimics the vegetation contrast NIR would otherwise provide. It leans on the fact that green vegetation is relatively brighter in green and darker in red, while the blue term dampens atmospheric and illumination effects. It correlates surprisingly well with green canopy fraction despite using no infrared at all.
The math behind it
where Green is green reflectance, Red is red reflectance, Blue is blue reflectance.
How to interpret the output
Higher = greater green vegetation fraction. Its value is that it needs no NIR band, so it works on ordinary RGB cameras.
The bands it needs
| Sentinel-2 | Green B3 · Red B4 · Blue B2 |
| Landsat 8/9 | Green B3 · Red B4 · Blue B2 |
Real-world use
Its home turf is consumer-drone crop scouting, turf and lawn assessment, and any project where only RGB imagery exists — including squeezing vegetation maps out of archival aerial photography.
Watch out for
Without NIR, VARI is a fraction-of-green estimator, not a biomass or health index, and it is noticeably sensitive to shadow and changing light. Fly at consistent times of day and expect more scatter than an NIR-based index.
Compute VARI on your own study area
Skip the code. Draw or upload a boundary and Spatial Research Suite runs VARI on live Sentinel-2 or Landsat imagery — with cloud masking, exports and citations built in.
Run this analysis in GISforus →Frequently asked
Can I compute VARI without a near-infrared band?
Yes — that is its whole purpose. VARI uses only the red, green and blue bands, so it works on ordinary RGB cameras and drones.
Is VARI as reliable as NDVI?
No — lacking NIR it is a coarser, more illumination-sensitive estimate of green fraction, best for quick RGB-only assessments.