Crop Monitoring
Monitor crop health, biomass, growth stages, and stress conditions across the growing season. Spectral indices for crop monitoring exploit the contrast between how healthy vegetation reflects near-infrared light and absorbs visible red light. Weekly time-series analysis enables yield forecasting, irrigation scheduling, fertilizer optimization, and early disease detection.
Recommended indices (7)
These indices are most commonly used for crop monitoring. Click any index to see the full formula, sensor-specific implementations, and code samples.
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)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))Vegetation index that minimizes soil brightness influences. The L factor is typically set to 0.5 for moderate vegetation cover.
((NIR - Red) / (NIR + Red + L)) * (1 + L)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)Vegetation index that uses green wavelengths instead of red to assess vegetation characteristics. More sensitive to chlorophyll content and can be useful for detecting stress in dense vegetation canopies.
(NIR - Green) / (NIR + Green)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)))Enhanced vegetation index that combines simple ratio and NDVI approaches. Provides improved sensitivity to vegetation changes and reduced soil background effects.
NIR / (NIR + Red) * 2 * (NDVI + 1)Not sure which one fits your project?
Tell our AI assistant about your sensor, your study area, and what you're measuring. It will recommend the right index and generate sensor-specific code.
Other applications
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Built-up area extraction and impervious surfaces
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