Spectral indices for

Forest Monitoring

Monitor canopy health, detect deforestation events, estimate above-ground biomass, and track forest disturbances. Forest-specific indices often combine red, near-infrared, and shortwave infrared bands to handle dense canopies that saturate simpler indices like NDVI.

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Recommended indices (5)

These indices are most commonly used for forest monitoring. Click any index to see the full formula, sensor-specific implementations, and code samples.

NDVI Vegetation

Normalized Difference Vegetation Index

Most commonly used vegetation index to assess plant health and density. Values range from -1 to 1, with higher values indicating healthier vegetation.

(NIR - Red) / (NIR + Red)

EVI Vegetation

Enhanced Vegetation Index

Improved vegetation index that reduces atmospheric and soil background effects. More sensitive to vegetation changes than NDVI.

2.5 * ((NIR - Red) / (NIR + 6 * Red - 7.5 * Blue + 1))

MSAVI Vegetation

Modified Soil Adjusted Vegetation Index

Self-adjusting vegetation index that minimizes soil background influence without requiring soil line parameters. Automatically adjusts for varying soil conditions.

0.5 * (2 * NIR + 1 - sqrt((2 * NIR + 1)^2 - 8 * (NIR - Red)))

LCI Vegetation

Leaf Chlorophyll Index

An index specifically designed to estimate leaf chlorophyll content using red edge bands. LCI is sensitive to chlorophyll variations while being less affected by leaf structure and canopy architecture.

(nir - re1) / (nir + red)

NDRE Vegetation

Normalized Difference Red-Edge

Normalized Difference Red-Edge (NDRE) is a vegetation index that uses the red-edge band instead of the red band used in NDVI. It is particularly sensitive to chlorophyll content in leaves and can detect variations in crop health and nitrogen status more effectively than NDVI, especially in moderate to high biomass conditions.

(NIR - RedEdge) / (NIR + RedEdge)

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