Awesome Vegetation Index [](https://awesome.re)

March 9, 2023 · View on GitHub

List of reference, applications of common Vegetation Indices for Multi-spectral, hyper-spectral and UAV images. (contribution are welcome)

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Table of Contents

Literature Reviews for VI

  1. Significant Remote Sensing Vegetation Indices: A Review of Developments and Applications (li et al. 2017)
  2. Research on Vegetation Information Extraction from Visible UAV Remote Sensing Images (yuan et al. 2018)
  3. Hyperspectral vegetation indices and their relationships with agricultural crop characteristics(Thenkabail et al.2000)
  4. Evaluating Multispectral Images and Vegetation Indices for Precision Farming Applications from UAV Images (Candiago et al. 2015)

Multispectral Vegetation Index

Greenness and Cover

Broadband greenness measures the health of vegetation leaf area index (LAI) and canopy chlorophyll density (CCD) vegetation cover, LAI, biomass, growth, and vigor assessment. It is worthy noting that the selection of proper wavebands in hyperspectral data could partly compensate the limitations of some VI formulas.(Zhao et al.2007)

NameAbbrev.FormulaAtmospheric Effects ParametersSoil Adjustment ParametersReference
Normalized Difference Vegetation IndexNDVIPigment, Canopypaper)
The Wide Dynamic Range Vegetation IndexWDRVI
Simple RatioSR
Atmospherically Resistant Vegetation IndexARVIγ
soil and atmosphere resistant vegetationSARVIγL
modified soil and atmosphere resistant vegetationMSARVIγ
atmosphere effect resistant vegetationIAVIγL
Enhanced Vegetation IndexEVIC1L
Perpendicular Vegetation IndexPVIM,I
Soil Adjusted Vegetation IndexSAVIL
Transformed Soil Adjusted Vegetation IndexTSAVIM,L
Modified Soil Adjusted Vegetation IndexMSAVIL'
Optimized Soil Adjusted Vegetation IndexOSAVIθ
generalized soil-adjusted vegetation indexGESAVIL,M,Z
Global Environmental Monitoring IndexGEMIn
Chlorophyll Absorption Ratio IndexCARI
Modified Chlorophyll Absorption Ratio IndexMCARI
Difference Vegetation IndexDVI
weighted Difference Vegetation IndexWDVIL
Renormalized Difference Vegetation IndexRDVI

Parameter: M: Slope of soil baseline I: Intercept of soil baseline L: Soil conditioning index L': A formula need to be added θ: SAIL constant 0.16 n: Atmospheric Regulation Factor(C =6、C =7.5) y: Atmospheric radiation correction coefficient

Other Applications for Broadband Images

NameAbbrev.FormulaSatellite ExampleSensitivityReference
Photochemical Reflectance IndexPRIWorldView-2Light Use
Structure Insensitive Pigment IndexSIPIALILight Use
Normalized Difference Nitrogen IndexNDNISCIAMACHYNitrogen
Plant Senescence Reflectance IndexPSRILandsatMSSDry or Senescent Carbon
Carotenoid Reflectance Index 1CRI1LandsatTMCarotenoid
Anthocyanin Reflectance Index 1ARI1,ARI2LandsatMSSAnthocyanin
Normalized Difference Water IndexNDWIMIPASWater
Moisture Stress IndexMSILandsatTMWater
Normalized Difference Infrared IndexNDIIALIWater

Hyperspectral Vegetation Index

The overall amount and quality of photosynthetic material in vegetation.

NAMEINDEX(series)FORMULA (sample)SENSITIVITYReference
Improved SAVI with self-adjustment factor LMSAVICanopy structureQi et al. (1994)
Modified Triangular Vegetation IndexMTVI1,MTVI2Canopy structureHaboudane et al. (2004)
Normalized Difference Vegetation IndexgNDVI,hNDVI, etcCanopy structureRouse et al. (1974)
Optimized Soil Adjusted Vegetation IndexOSAVICanopy structureRondeaux et al. (1996)
Renormalized Difference Vegetation IndexRDVICanopy structureRougean and Breon (1995)
Simple Ratio IndexSR,SR705Canopy structureJordan (1969); Rouse et al. (1979)
Soil Adjusted Vegetation IndexSAVI,SAVI2Canopy structureHuete (1988)
Spectral Polygon Vegetation IndexSPVICanopy structureVincini et al. (2006)
Thematic Mapper NDVItmNDVICanopy structureRouse et al. (1974)
Transformed Soil Adjusted Vegetation IndexTSAVICanopy structureBaret et al. (1989)
Anthocyanin Reflectance IndexARICarotenoid contentGitelson et al. (2002)
Pigment Specific Simple Ratio for CarotenoidsPSSRcCarotenoid contentBlackburn (1998)
Structural Independent Pigment IndexSIPICarotenoid contentPenuelas and Filella (1998)
Carter Stress IndexCSI1,CSI2ChlorophyllCarter (1994)
Chlorophyll Absorption IntegralCAI,CRI,CRI2ChlorophyllOppelt and Mauser (2003)
Gitelson & Merzlyak IndexGM1,GM2ChlorophyllGitelson and Merzlyak (1997)
Leaf Chlorophyll IndexLCI,LIC1,LIC2,LIC3ChlorophyllDatt (1999)
M Locherer ChlorophyllMLOChlorophyllunpublished
Modified Chlorophyll Absorption in Reflectance IndexMCARI,MCARI1,MCARI2ChlorophyllDaughtry et al. (2000)
Normalized Phaeophytinization IndexNPQIChlorophyllBarnes (1992)
Photochemical Reflectance IndexPRIChlorophyllGamon et al. (1992)
Red Edge Inflection PointREIP1ChlorophyllGuyot et al. (1988)
Red Edge PointREPChlorophyllDawson and Curran (1998)
Transformed Chlorophyll Absorption in Reflectance IndexTCARIChlorophyllHaboudane et al. (2002)
Triangular Vegetation IndexTVIChlorophyllBroge and Leblanc (2000)
Vogelmann IndexVOG1,VOG2,VOG3ChlorophyllVogelmann (1993)
Zarco-Tejada & MillerZTMChlorophyllZarco-Tejada et al. (2001)
Pigment Specific Simple Ratio for Chl aPSSRaChlorophyll aBlackburn (1998)
Pigment Specific Simple Ratio for Chl bPSSRbChlorophyll bBlackburn (1998)
Shortwave Infrared Green Vegetation IndexSWIRVIDry MatterLobell et al. (2001)
Normalized Difference Lignin IndexNDLIDry Matter / LigninSerrano et al. (2002)
Normalized Difference Nitrogen IndexNDNIDry Matter / NitrogenSerrano et al. (2002)
Normalized Pigment Chlorophyll IndexNPCIDry Matter / PigmentPenuelas et al. (1994)
Pigment IndexBGI,BRIDry Matter / PigmentZarco-Tejada et al. (2005)
Red-Green Pigment IndexRGIDry Matter / PigmentZarco-Tejada et al. (2005)
Simple Ratio Pigment IndexSRPIDry Matter / PigmentPenuelas et al. (1995)
Desease Water Stress IndexDSWI,DWSI5Water ContentGalvão et al. (2005)
Leaf Water Vegetation IndexLWVI1,LWVI2Water ContentGalvão et al. (2005)
Moisture Stress IndexMSIWater ContentHunt et al. (1989)
Normalized Difference Water IndexNDWIWater ContentGao (1996)
Plant Water IndexPWIWater ContentPenuelas et al. (1997)
Simple Ratio Water IndexSRWIWater ContentZarco-Tejada et al. (2003)

Vegetation Index for UAV images

With specific camera, UAV images can be used to calculate all kind of hyperspectral and multi-band vegetation index, where RGB only images can be used to calculate following indices.

NameAbbrev.FormulaAtmospheric Effects ParametersSoil Adjustment ParametersReference
Normalized Difference Vegetation IndexNDVIPigment, Canopypaper)
Visible-band difference vegetation indexVDVI
Normalized green-blue difference indexNGBDI
Normalized green-red difference indexNGRDI
Red-green ratio indexRGRI
Blue Green ratio indexBGRI
Excess greenEXG
Excess redEXR
excess green minus excess redEXGR
color index of vegetation extractionCIVE
Red green blue vegetation indexRGBVI

Community

Learning Materials

  • Index Database - An Index-Data-Base (IDB) could be an useful tool to find indices for a required application, adapted to a selected sensor.
  • LandscapeToolbox - The Vegetation/Greenness Indices part provides a detailed descriptions and applications of 9 common indices.

Software programs

There are currently a large number of software with Vegetation Index tools, and we have a brief summary of them,

Commercial

NameDescriptionCustomed CalculationPre definition IndicesPre definition Satellite
ERDAS IMAGINE
ArcGIS15 Image indices are computed from multiband images15
ENVIENVI exposes 27 of these indices which were selected based upon their robustness, scientific basis, and applicability.27
IdrisiA full suite of mathematical and relational modeling tools for deriving new data layers as a function of existing layers.
Pix4DfieldsDedicated software for agriculture
opendronemaphttps://opendronemap.org/webodm/

Open Source

NameDescriptionCustomed CalculationPre definition IndicesPre definition Satellite
QGIS

Note

This list will be updated in time, and volunteer contributions are welcome. For questions or sharing, please feel free to contact us or make issues.