Anchor Link Example
Verified Default Vegetation Indices
Normalized Difference Vegetation IndexShort Name: NDVI
Required Bands: Red, NIR
Description: NDVI measures the contrast between red light absorbed by chlorophyll and near-infrared light reflected by plant cell structures, indicating vegetation health and density.
Common Uses: Crop monitoring, drought assessment, land cover classification
Formula Diagram:
References:
- Tucker, C. J. (1979). Red and photographic infrared linear combinations for monitoring vegetation. *Remote Sensing of Environment*
- Pettorelli, N. et al. (2005). Using the satellite-derived NDVI to assess ecological responses to environmental change. *Trends in Ecology & Evolution*
- Jiang, Z. et al. (2006). Comparison of vegetation indices over a growing season. *Remote Sensing of Environment*
Green-Red Vegetation IndexShort Name: GRVI
Required Bands: Green, Red
Description: GRVI emphasizes the difference between green reflectance (associated with healthy vegetation) and red reflectance (absorbed by chlorophyll), offering insights into plant vigor.
Common Uses: Crop vigor analysis, canopy health detection, visual greenness tracking
Formula Diagram:
References:
- Sripada, R. P. et al. (2006). Estimating nitrogen concentration using aerial imagery. *Agronomy Journal*
- Samborski, S. M. et al. (2009). Remote sensing of canopy chlorophyll content in wheat. *Agronomy Journal*
- Xue, J., & Su, B. (2017). Significant vegetation indices in precision agriculture. *Remote Sensing*
Visible Atmospherically Resistant IndexShort Name: VARI
Required Bands: Red, Green, Blue
Description: VARI uses only visible bands to reduce atmospheric interference, making it useful for vegetation monitoring where near-infrared data is unavailable.
Common Uses: Vegetation detection in RGB drone imagery, urban green space analysis, leaf area estimation
Formula Diagram:
References:
- Gitelson, A. A. et al. (2002). Vegetation indices for green vegetation from red, green, and blue bands. *Remote Sensing of Environment*
- Richardson, A. D. et al. (2007). Use of digital repeat photography to track canopy phenology. *Agricultural and Forest Meteorology*
- Louhaichi, M. et al. (2001). A digital charting technique for monitoring rangeland vegetation cover. *Journal of Arid Environments*
Green Leaf IndexShort Name: GLI
Required Bands: Red, Green, Blue
Description: GLI highlights green reflectance in vegetation by amplifying green over red and blue, allowing better differentiation of healthy leaves using only visible bands.
Common Uses: Monitoring leaf area index, urban tree canopy studies, vegetation segmentation in RGB imagery
Formula Diagram:
References:
- Louhaichi, M. et al. (2001). A digital charting technique for monitoring rangeland vegetation cover. *Journal of Arid Environments*
- Tucker, C. J. (1979). Red and photographic infrared linear combinations for monitoring vegetation. *Remote Sensing of Environment*
- Gitelson, A. A. et al. (2002). Vegetation indices derived from green, red, and blue bands. *Remote Sensing of Environment*
Thermal IndexShort Name: Thermal
Required Bands: Thermal Infrared
Description: Thermal indices use land surface temperature as a proxy for vegetation stress, with higher temperatures indicating water deficiency or canopy thinning.
Common Uses: Irrigation scheduling, drought stress detection, evapotranspiration estimation
Formula Diagram:
References:
- Jackson, R. D. et al. (1981). Canopy temperature as a crop water stress indicator. *Water Resources Research*
- Kalma, J. D. et al. (2008). Estimating land surface evaporation using thermal remote sensing. *Surveys in Geophysics*
- Moran, M. S. et al. (2009). Thermal remote sensing for vegetation monitoring. *Agricultural and Forest Meteorology*
Normalized Difference Red Edge IndexShort Name: NDRE
Required Bands: Red Edge, NIR
Description: NDRE improves on NDVI by using the red edge band instead of red, making it more sensitive to chlorophyll and biomass in mid-to-late stages of plant growth.
Common Uses: Nitrogen tracking, biomass monitoring, advanced crop health analysis
Formula Diagram:
References:
- Eitel, J. U. H. et al. (2011). Remote sensing of chlorophyll content using NDRE. *Remote Sensing of Environment*
- Fitzgerald, G. J. et al. (2010). Spectral reflectance-based NDRE for assessing wheat nitrogen. *Precision Agriculture*
- Yao, H. et al. (2017). Estimating leaf nitrogen in rice with NDRE. *Field Crops Research*
Soil Adjusted Vegetation IndexShort Name: SAVI
Required Bands: Red, NIR
Description: SAVI adjusts the NDVI formula to minimize soil brightness influences, especially in sparse vegetation areas by introducing a soil factor (L).
Common Uses: Crop monitoring in semi-arid areas, vegetation trend analysis, soil-vegetation studies
Formula Diagram:
References:
- Huete, A. R. (1988). A soil-adjusted vegetation index (SAVI). *Remote Sensing of Environment*
- Major, D. J. et al. (1990). SAVI use in wheat canopy characterization. *Canadian Journal of Remote Sensing*
- Bannari, A. et al. (1995). SAVI for remote sensing of arid regions. *Remote Sensing Reviews*
Optimized Soil Adjusted Vegetation IndexShort Name: OSAVI
Required Bands: Red, NIR
Description: OSAVI refines SAVI by using a fixed soil adjustment factor of 0.16 to improve performance across various soil conditions.
Common Uses: Vegetation stress assessment, sparse crop detection, arid land monitoring
Formula Diagram:
References:
- Rondeaux, G. et al. (1996). Optimization of soil-adjusted vegetation indices. *Remote Sensing of Environment*
- Sims, D. A., & Gamon, J. A. (2003). Using OSAVI for leaf area estimation. *Agricultural and Forest Meteorology*
- Li, F. et al. (2005). Evaluating OSAVI performance in semi-arid areas. *Ecological Modelling*
Triangular Greenness IndexShort Name: TGI
Required Bands: Red, Green, Blue
Description: TGI calculates greenness based on the area of a triangle formed in RGB space, providing a non-NIR method to estimate chlorophyll content.
Common Uses: Chlorophyll detection, turfgrass monitoring, RGB drone analysis
Formula Diagram:
References:
- Hunt, E. R. et al. (2013). TGI for evaluating turfgrass stress. *Remote Sensing*
- Sims, D. A., & Gamon, J. A. (2002). TGI relationship to leaf pigment content. *Remote Sensing of Environment*
- Babar, M. A. et al. (2006). Estimating wheat chlorophyll using TGI. *Agronomy Journal*
Enhanced Normalized Difference Vegetation IndexShort Name: ENDVI
Required Bands: Blue, Green, NIR
Description: ENDVI improves on NDVI by incorporating blue and green reflectance, increasing sensitivity to chlorophyll content and enhancing vegetation analysis in variable light conditions.
Common Uses: Chlorophyll monitoring, improved greenness detection under shadows or haze, vegetation vitality mapping
Formula Diagram:
References:
- Hunt, E. R. et al. (2011). Enhanced NDVI for improved remote sensing of vegetation. *Remote Sensing Letters*
- Sims, D. A., & Gamon, J. A. (2002). Relationships between leaf pigment content and spectral reflectance. *Remote Sensing of Environment*
- Harris, A. (2008). Spectral reflectance and photosynthetic properties of vegetation. *Ecological Applications*