Vegetation Index · Atmosphere Resistant
ARVI – Atmospherically Resistant Vegetation Index
ARVI is a modified NDVI that resists atmospheric effects such as haze, dust, and aerosol.
It uses the Blue band to correct the Red reflectance, making vegetation mapping more accurate.
1. Scientific Definition
The Atmospherically Resistant Vegetation Index (ARVI) is designed to reduce
atmospheric distortions by incorporating the Blue band to correct the Red channel.
Formula
ARVI = (NIR - (2 × Red - Blue)) / (NIR + (2 × Red - Blue))
Range: -1 → +1
Interpretation
ARVI Value Meaning
< 0 Water / non-vegetated
0 – 0.2 Sparse vegetation
0.2 – 0.5 Moderate vegetation
> 0.5 Dense healthy vegetation
Applications
Dusty & desert regions
Urban haze correction
Pollution-affected vegetation studies
General vegetation mapping
2. Required Data
Sentinel-2 Bands
Best Practices
Use surface reflectance (S2_SR)
Mask clouds & haze when possible
Use multi-temporal comparison
Suggested Palette
[ "#440154", "#3b528b", "#21908c", "#5dc963", "#fde725" ]
3. Google Earth Engine Code – ARVI
Copy GEE code
// ARVI using Sentinel-2
// Formula: (NIR - (2*Red - Blue)) / (NIR + (2*Red - Blue))
var roi = geometry;
Map.centerObject(roi, 11);
// Load Sentinel-2 SR
var s2 = ee.ImageCollection("COPERNICUS/S2_SR")
.filterBounds(roi)
.filterDate("2023-01-01", "2023-12-31")
.filter(ee.Filter.lt("CLOUDY_PIXEL_PERCENTAGE", 20))
.select(["B2","B4","B8"]); // Blue, Red, NIR
var img = s2.median().clip(roi);
// Compute ARVI
var arvi = img.expression(
"(NIR - (2 * RED - BLUE)) / (NIR + (2 * RED - BLUE))",
{
"NIR": img.select("B8"),
"RED": img.select("B4"),
"BLUE": img.select("B2")
}
).rename("ARVI");
var vis = {
min: -1,
max: 1,
palette: ["#440154","#3b528b","#21908c","#5dc963","#fde725"]
};
Map.addLayer(arvi, vis, "ARVI");
// Export
Export.image.toDrive({
image: arvi,
description: "ARVI_Export",
fileNamePrefix: "ARVI",
region: roi,
scale: 10,
crs: "EPSG:4326",
maxPixels: 1e13
});
ARVI reference page · Start4IT Remote Sensing Index Library