Jilin-1 Spectral Indices

Vegetation index that minimizes atmospheric effects by incorporating blue band correction. More resistant to atmospheric scattering than NDVI, particularly useful in areas with atmospheric haze or high aerosol content.

Simple vegetation index calculating the ratio of near-infrared to red reflectance. One of the earliest vegetation indices, useful for biomass estimation and vegetation analysis.

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

Geological index for detecting ferric iron (Fe3+) concentrations in rocks and soils. Useful for lithologic mapping and identifying iron-rich mineral formations.

Geological index for detecting ferric oxide concentrations in rocks and soils. Useful for identifying iron-rich minerals and oxide formations in geological mapping and mineral exploration.

Simple vegetation index that calculates the difference between near-infrared and green spectral bands. Useful for assessing vegetation health and density with straightforward band arithmetic.

Non-linear vegetation index designed for global vegetation monitoring from satellites. Less sensitive to soil background variations compared to NDVI and provides enhanced discrimination of vegetation states.

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.

Soil-adjusted vegetation index that uses green wavelengths and incorporates a soil adjustment factor to minimize soil background influences. Optimized for vegetation monitoring in areas with varying soil conditions.

Simple vegetation index that calculates the ratio of near-infrared to green band reflectance. Useful for vegetation fraction estimation and assessing plant health using green wavelengths.

Soil-adjusted vegetation index using green wavelengths to minimize soil background interference. Incorporates a soil adjustment factor (L=0.5) to improve vegetation signal extraction.

Color index representing the dominant wavelength in visible spectrum. Used for color analysis and classification of materials based on their spectral hue characteristics.

Color brightness measure representing the total reflectance across visible bands. Used for overall brightness analysis and intensity-based classification.

Enhanced vegetation index that combines simple ratio and NDVI approaches. Provides improved sensitivity to vegetation changes and reduced soil background effects.

Vegetation index designed to estimate chlorophyll content with reduced sensitivity to non-photosynthetic vegetation and soil background effects.

Enhanced vegetation chlorophyll index with improved sensitivity and reduced soil background effects. Modified version of MCARI using standard satellite bands.

Advanced vegetation chlorophyll index with enhanced sensitivity and reduced soil background effects. Improved version of MCARI for better leaf area index prediction.

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

Hyperspectral version of MSAVI optimized for precise wavelength bands. Provides enhanced vegetation monitoring with reduced soil background effects.

Enhanced vegetation index combining green, red, and near-infrared reflectance for improved leaf area index estimation and vegetation monitoring.

Advanced triangular vegetation index with enhanced sensitivity to vegetation chlorophyll content and reduced soil background interference.

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

The most widely used vegetation index for assessing vegetation health, density, and photosynthetic activity. Classic formulation using standard red and near-infrared bands.

Used to detect water bodies and monitor water content in vegetation. Positive values typically indicate water presence.

Normalized green reflectance component for vegetation analysis. Provides relative contribution of green band reflectance in visible-NIR spectrum.

Normalized near-infrared reflectance component for vegetation analysis. Highlights vegetation structural properties and biomass distribution.

Normalized red reflectance component for vegetation analysis. Useful for analyzing chlorophyll absorption and vegetation stress indicators.

Vegetation index that minimizes soil brightness influences. The L factor is typically set to 0.5 for moderate vegetation cover.

Blue Green Pigment Index (BGI) is a simple ratio index that compares reflectance in the blue (450nm) and green (550nm) regions of the spectrum. It is used to assess plant pigment content, particularly useful for detecting changes in chlorophyll and carotenoid concentrations that affect blue and green light absorption.

The Brightness Index (BI) is a remote sensing index used to assess soil brightness, which is highly correlated with soil moisture, salt content, and organic matter. Developed by Mathieu and Escadafal, it provides valuable information about soil properties and fertility. As brightness increases, soil fertility typically decreases.

The Second Brightness Index (BI2) is an enhanced version of the Brightness Index that includes the near-infrared band in addition to red and green bands. Developed by Escadafal and Huete, it provides improved assessment of soil properties, particularly soil organic carbon content and moisture levels.

A vegetation index that uses blue instead of red bands. BNDVI can be useful in situations where the red band is saturated or when assessing vegetation in water bodies where blue light penetrates better.

Blue Near-Infrared Reflectance of Vegetation - A spectral index for vegetation applications.

Blue Red Pigment Index (BRI) is a simple ratio index that compares reflectance in the blue (450nm) and red (690nm) regions of the spectrum. It is designed to assess plant pigment content and is sensitive to changes in chlorophyll and carotenoid concentrations, making it useful for stress detection and pigment analysis.

A blue-based variant of WDRVI that uses blue instead of red bands. This index maintains sensitivity at high biomass levels while using the blue spectral region, which can be advantageous in certain applications.

The Carotenoid Reflectance Index 550 (CRI550) was developed by Gitelson et al. (2002) to assess carotenoid content in plant leaves. It uses reciprocal reflectance at 510nm (sensitive to carotenoids) and 550nm (to remove chlorophyll effects), providing a non-destructive method for carotenoid estimation.

A modified simple ratio vegetation index optimized for boreal forest applications. It normalizes the difference between NIR and red reflectance, providing improved LAI estimation in forest environments.

The Normalized Difference Water Index (NDWI) proposed by McFeeters (1996) is designed to delineate open water features and enhance their presence in remotely-sensed digital imagery. It uses reflected near-infrared radiation and visible green light to enhance water features while eliminating soil and terrestrial vegetation features.

Normalized Green Red Difference Index for vegetation applications

Near-Infrared Reflectance of Vegetation for vegetation applications

Hyperspectral Near-Infrared Reflectance of Vegetation for vegetation applications

Near-Infrared Reflectance of Vegetation and Incoming PAR for vegetation applications

A vegetation index that uses a nonlinear relationship between NIR and red bands to reduce the saturation effect at high biomass levels. The squared NIR term helps maintain sensitivity to vegetation changes in dense canopies.

Normalized Green for vegetation applications

Normalized NIR for vegetation applications

Normalized Red for vegetation applications

Optimized Chlorophyll Vegetation Index for vegetation applications

Oil Spill Index for water applications

Plastic Index for water applications

Perpendicular Impervious Surface Index for urban applications

The Photochemical Reflectance Index (PRI) was developed by Gamon, Penuelas, and Field (1992) to track diurnal changes in photosynthetic efficiency. PRI detects changes in xanthophyll cycle pigments that occur during plant stress, providing a measure of light use efficiency and general ecosystem health through remote sensing.

Red Chromatic Coordinate for vegetation applications

Red Green Blue Vegetation Index for vegetation applications

Red-Green Ratio Index for vegetation applications

SPOT HRV XS-based Redness Index 4 for soil applications

Reversed Normalized Difference Vegetation Index for water applications

Soil Adjusted and Atmospherically Resistant Vegetation Index for vegetation applications

A spectral index that calculates the color saturation by comparing the maximum and minimum RGB values. Used for analyzing vegetation characteristics and spectral indices for degradation of natural environments.

Soil-Adjusted Vegetation Index 2 for vegetation applications

Soil-Adjusted Vegetation Index Thermal for burn applications

Shadow-Eliminated Vegetation Index for vegetation applications

Shadow Index for vegetation applications

Structure Insensitive Pigment Index for vegetation applications

Simple Ratio for vegetation applications

Simple Ratio (800 and 550 nm) for vegetation applications

Transformed Difference Vegetation Index - A spectral index for vegetation applications.

Triangular Greenness Index - A spectral index for vegetation applications.

Triangular Vegetation Index - A spectral index for vegetation applications.

A vegetation index designed to minimize soil brightness effects on vegetation measurements. TSAVI requires knowledge of the soil line parameters (slope and intercept) for optimal performance.

A simple transformation of NDVI that shifts values to avoid negative numbers. TVI ranges from 0 to 1, making it easier to interpret and use in some applications.

Visible Atmospherically Resistant Index - A spectral index for vegetation applications.

Visible Green-Based Built-Up Index - A spectral index for urban applications.

VI6T Index - A spectral index for burn applications.

Vegetation Index Green - A spectral index for vegetation applications.

Visible Red-Based Built-Up Index - A spectral index for urban applications.

A vegetation index designed to improve sensitivity for moderate to high biomass conditions where traditional NDVI saturates. The weighting factor (0.1) enhances the dynamic range of the vegetation signal.

A vegetation index that accounts for soil background by using a weighted difference between NIR and red bands. The weight parameter 'a' is the slope of the soil line, typically derived from bare soil measurements.