Methodology ยท Multispectral
Vegetation index mapping
Derives vegetation health, density, and phenology indicators (NDVI, EVI, SAVI) from red and NIR band ratios; good for crop monitoring, deforestation alerts, and land cover change detection.
How it works
Band-ratio indices from red (~660 nm) and NIR (~840 nm). NDVI saturates in dense canopies; EVI corrects for atmosphere and soil background noise. Implemented across the entire Landsat/Sentinel-2/MODIS fleet. [Wikipedia: Normalized difference vegetation index](https://en.wikipedia.org/wiki/Normalized_difference_vegetation_index)
Topics this serves
- Crop phenology well suited
- Crop stress and yield well suited
- Deforestation well suited
- Land cover change well suited
- Drought adequate
- Wildfire adequate
Existing implementations
Demonstrated
Capable, undemonstrated
None on record.
Related methodologies
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Retrieves chlorophyll-a concentration, CDOM, and suspended sediment from spectrally resolved water-leaving radiance; good for marine primary production, harmful algal bloom detection, and coastal water quality.
Sources
- [wikipedia]Wikipedia: Normalized difference vegetation indexcommunityaccessed 2026-05-22
Methodology
Edited from public sources. Last reviewed date pending by SpectraWorks editorial. See the data dictionary for field definitions.