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Normalized Difference Vegetation Index, NDVI

//VERSION=3

// Normalized Difference Vegetation Index, NDVI
// Negative values of NDVI (values approaching -1) correspond to water. 
// Values close to zero (-0.1 to 0.1) generally correspond to barren areas of rock, sand, or snow. 
// Low, positive values represent shrub and grassland (approximately 0.2 to 0.4).
// High values indicate temperate and tropical rainforests (values approaching 1).
// Thresholds may be adapted depending on local conditions.

function setup() {
  return {
    input: ["B17", "B08"],
    output: { bands: 3 }
  };
}

function evaluatePixel(sample) {
  // Calculate NDVI
  var NDVI = index(sample.B17, sample.B08);

  // Color depending on class
  if (NDVI < -1.1) return [0, 0, 0];
  else if (NDVI < -0.2) return [0.75, 0.75, 0.75];
  else if (NDVI < -0.1) return [0.86, 0.86, 0.86];
  else if (NDVI < 0) return [1, 1, 0.88];
  else if (NDVI < 0.025) return [1, 0.98, 0.8];
  else if (NDVI < 0.05) return [0.93, 0.91, 0.71];
  else if (NDVI < 0.075) return [0.87, 0.85, 0.61];
  else if (NDVI < 0.1) return [0.8, 0.78, 0.51];
  else if (NDVI < 0.125) return [0.74, 0.72, 0.42];
  else if (NDVI < 0.15) return [0.69, 0.76, 0.38];
  else if (NDVI < 0.175) return [0.64, 0.8, 0.35];
  else if (NDVI < 0.2) return [0.57, 0.75, 0.32];
  else if (NDVI < 0.25) return [0.5, 0.7, 0.28];
  else if (NDVI < 0.3) return [0.44, 0.64, 0.25];
  else if (NDVI < 0.35) return [0.38, 0.59, 0.21];
  else if (NDVI < 0.4) return [0.31, 0.54, 0.18];
  else if (NDVI < 0.45) return [0.25, 0.49, 0.14];
  else if (NDVI < 0.5) return [0.19, 0.43, 0.11];
  else if (NDVI < 0.55) return [0.13, 0.38, 0.07];
  else if (NDVI < 0.6) return [0.06, 0.33, 0.04];
  else return [0, 0.27, 0];
}

Evaluate and Visualize

General description of the script

The well known and widely used NDVI is a simple, but effective index for quantifying green vegetation. It normalizes green leaf scattering in Near Infra-red wavelengths with chlorophyll absorption in red wavelengths.

The value range of the NDVI is -1 to 1. Negative values of NDVI (values approaching -1) correspond to water. Values close to zero (-0.1 to 0.1) generally correspond to barren areas of rock, sand, or snow. Low, positive values represent shrub and grassland (approximately 0.2 to 0.4), while high values indicate temperate and tropical rainforests (values approaching 1). It is a good proxy for live green vegetation; see [1] for details.

The normalized difference vegetation index, abbreviated NDVI, is calculated using near infrared and red wavelengths.

NDVI = (NIR - RED) / (NIR + RED)

For Sentinel-3 OLCI, the NDVI is calculated using NIR band 17 and Red band 8:

NDVI = (B17 - B08) / (B17 + B08)

Description of representative images

NDVI of France, acquired on 24 July 2022.
NDVI

References

[1] Wikipedia, Normalized Difference Vegetation Index . Accessed on October 4th 2017.

Contributors:

William Ray