Supported Vegetation Indices

Vegetation indices are mathematical combinations of spectral bands that help highlight specific properties of plants — such as vigor, chlorophyll content, or canopy cover. By comparing reflectance values from different parts of the spectrum (for example, red and near-infrared), these indices make it easier to visualize crop health and identify subtle variations that might not be visible in standard imagery. They are widely used in agricultural research to monitor growth, assess stress, and quantify biomass or chlorophyll levels across trials.


Below is a list of vegetation indices available in Solvi’s database. These can be added to any account on the Professional or Enterprise plan. If you’re looking for an index that isn’t included yet, simply share its name and formula with us — we’ll be happy to add it to your workspace. Once added, the indices will become available in the Plant Health, Zonal Statistics and PlantAI tool and will appear automatically depending on which bands are available in the specific Upload.


🌾 RGB Indices (Red, Green, and Blue bands only)

Index Full Name Bands Required Formula Description
CIVE Colour Index of Vegetation Extraction Red, Green, Blue (0.441R - 0.881G + 0.385B + 18.78745) / (R + G + B) Separates vegetation from soil and non-vegetation using color ratios. Designed for consistent vegetation detection in varying light conditions.
COM Combined Index Red, Green, Blue 0.25×EXG + 0.3×ExGR + 0.33×CIVE + 0.12×VEG Combines several RGB vegetation indices (EXG, ExGR, CIVE, VEG) into a single, more stable indicator of vegetation presence.
EXG Excess Green Index Red, Green, Blue 2G - R - B (normalized RGB) Emphasizes the green component to distinguish vegetation from soil and other surfaces. Simple and effective for RGB drone imagery.
EXGR Excess Green minus Excess Red Red, Green, Blue EXG - 1.4R - G Improves EXG by accounting for red intensity, enhancing separation between vegetation and non-vegetation.
GLI Green Leaf Index Red, Green, Blue (2G - R - B) / (2G + R + B) Normalized RGB index highlighting vegetation pixels. Works well in environments with changing illumination.
GLI-MASK GLI Mask Red, Green, Blue GLI > 0.05 Applies a vegetation mask threshold to GLI output to classify vegetation pixels. Commonly used for automatic canopy extraction.
HR-FI High-Resolution Flowering Index Red, Green, Blue (R - B) × (G - B) Detects flowering in crops via RGB color contrasts. Useful for phenotyping and identifying reproductive growth stages.
LCI-LESION Lesion Color Index Red, Green, Blue (R - G) / √(R² + G² + B²) Highlights discolored (lesioned) plant tissue in RGB imagery. Helpful for early detection of diseases or nutrient deficiencies.
MYI Modified Yellowness Index Red, Green, Blue (R × G) / B Indicates yellowing and senescence by combining red and green reflectance relative to blue. Useful in stress detection.
NGRDI Normalized Green-Red Difference Index Red, Green (G - R) / (G + R) NDVI-like index using RGB only. Highlights vegetative areas in low-cost camera imagery.
RBNI Red Blue Normalizing Index Red, Blue (R - B) / (R + B) Highlights vegetation regions based on contrast between red and blue reflectance. Useful in RGB imagery classification.
TGI Triangular Greenness Index Red, Green, Blue -0.5 × ((1 - qlb)(R - G) - (1 - qlg)(R - B)), with qlg=550/670, qlb=480/670 Estimates chlorophyll using RGB band geometry. Correlates with greenness and plant vigor when multispectral data isn’t available.
VARI Visible Atmospherically Resistant Index Red, Green, Blue (G - R) / (G + R - B) RGB-only vegetation index that reduces sensitivity to atmospheric scattering. Ideal for low-altitude RGB drone imagery.
VEG Vegetative Index Red, Green, Blue G / (R^0.667 × B^0.333) Enhances vegetation areas using nonlinear color ratios. Performs well for canopy detection under diverse conditions.

🌿 Multispectral Indices (include NIR, Red Edge, or Thermal bands)

Index Full Name Bands Required Formula Description
ARI1 Anthocyanin Reflectance Index 1 Red edge, Green (1 / G) - (1 / E) Sensitive to anthocyanin pigments, which increase under stress or senescence. Useful for assessing pigment concentration in leaves and identifying stressed vegetation.
ARI2 Anthocyanin Reflectance Index 2 NIR, Red edge, Green NIR × ((1 / G) - (1 / E)) Extension of ARI1 that scales reflectance with NIR, improving canopy-level pigment detection. Often used for mapping anthocyanin in high-density canopies.
BNDVI Blue Normalized Difference Vegetation Index NIR, Blue (NIR - B) / (NIR + B) NDVI variant using the blue band instead of red, reducing saturation in dense vegetation and emphasizing chlorophyll activity.
EVI Enhanced Vegetation Index NIR, Red, Blue 2.5 × (NIR - R) / (NIR + 6R - 7.5B + 1) Improves NDVI by reducing soil and atmospheric noise, especially in dense vegetation.
ENDVI Enhanced Normalized Difference Vegetation Index NIR, Green, Blue (NIR + G - 2B) / (NIR + G + 2B) Enhances vegetation detection with green and blue bands; reduces shadow and lighting effects.
GCI Green Chlorophyll Index NIR, Green (NIR / G) - 1 Estimates leaf chlorophyll and canopy nitrogen. Widely used for precision nutrient management.
GNDVI Green Normalized Difference Vegetation Index NIR, Green (NIR - G) / (NIR + G) NDVI variant using the green band; better for chlorophyll monitoring in dense crops.
GOSAVI Green Optimized Soil Adjusted Vegetation Index NIR, Green (NIR - G) / (NIR + G + 0.16) Soil-adjusted version of GNDVI. Improves vegetation detection in partial canopy cover.
ISRRE Inverted Simple Ratio Red Edge NIR, Red edge E / NIR Inverse of SRRE; low values indicate healthy vegetation.
LAI Leaf Area Index NIR, Red, Blue 3.618 × EVI - 0.118 Estimates total leaf area per unit ground area.
LCI Leaf Chlorophyll Index Red, Red edge, NIR (NIR - E) / (NIR + R) Sensitive to leaf chlorophyll; effective for nitrogen and stress assessment.
MCARI Modified Chlorophyll Absorption in Reflectance Index Red, Green, Red edge ((E - R) - 0.2(E - G)) × (E / R) Sensitive to chlorophyll absorption; helps detect subtle pigment variations.
NDRE Normalized Difference Red Edge NIR, Red edge (NIR - E) / (NIR + E) Red-edge variant of NDVI. More sensitive to chlorophyll and less prone to saturation.
NDVI Normalized Difference Vegetation Index NIR, Red (NIR - R) / (NIR + R) The most widely used vegetation index. Correlates with biomass, canopy cover, and photosynthetic activity.
NDWI Normalized Difference Water Index NIR, Green (G - NIR) / (G + NIR) Sensitive to leaf and canopy water content; used for drought and water stress detection.
OSAVI Optimized Soil Adjusted Vegetation Index NIR, Red (1 + 0.16) × (NIR - R) / (NIR + R + 0.16) NDVI variant optimized for soil correction. Useful in sparse or heterogeneous canopies.
SAVI Soil Adjusted Vegetation Index NIR, Red 1.5 × (NIR - R) / (NIR + R + 0.5) Corrects NDVI for soil brightness effects, improving accuracy in sparse vegetation or early growth.
SCCCI Simplified Canopy Chlorophyll Content Index NIR, Red edge, Red NDRE / NDVI Combines NDRE and NDVI to estimate canopy chlorophyll content.
SRRE Simple Ratio Red Edge NIR, Red edge NIR / E Red-edge-based ratio index sensitive to canopy chlorophyll and nitrogen.
TDVI Transformed Difference Vegetation Index NIR, Red √(0.5 + (NIR - R) / (NIR + R)) Nonlinear NDVI variant reducing illumination sensitivity.
THERMAL Thermal Thermal (DN / 100) - 273.15 Converts raw thermal data to °C for monitoring crop temperature and water stress.
WDRVI Wide Dynamic Range Vegetation Index NIR, Red (0.2NIR - R) / (0.2NIR + R) Reduces NDVI saturation in dense canopies, improving sensitivity across growth stages.
WDVI Weighted Difference Vegetation Index NIR, Red NIR - 1.8R Linear soil-adjusted index; useful for sparse vegetation.

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