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Development","sub_category":"Curated Lists","monthly_downloads":0,"total_dependent_repos":0,"total_dependent_packages":0,"readme":"# Awesome Vegetation Index [![Awesome](https://awesome.re/badge-flat.svg)](https://awesome.re)\nList of reference, applications of common Vegetation Indices for Multi-spectral, hyper-spectral and UAV images. (**contribution are welcome**)\n\n\u003cimg src=\"https://flurosat.com/wp-content/uploads/2018/10/growth-monitoring-e1583902228867.png)\" alt=\"drawing\" width=\"600\"/\u003e\n\n## Table of Contents\n\n\u003c!-- Start TOC (do not remove me) --\u003e\n- [Literature Reviews](#literature-reviews-for-vi)\n- [Multispectral Vegetation Index](#multispectral-vegetation-index)\n  - [Broadband Greenness and Cover](#greenness-and-cover)\n  - [Other applications for Broadband  images](#other-applications-for-broadband-images)\n- [Hyperspectral Vegetation Index](#hyperspectral-egetation-Index)\n- [Vegetation Index for UAV images ](#vegetation-index-for-uav-images  )\n- [Community](#community)\n  - [Learning Materials](#learning-materials)\n- [Software](#Software)\n  - [Commercial](#Commercials)\n  - [Open](#Open)\n \n\u003c!-- End TOC (do not remove me) --\u003e\n\n\u003c!-- Start Links (do not remove me) --\u003e\n## Literature Reviews for VI\n1. Significant Remote Sensing Vegetation Indices: A Review of Developments and Applications ([li et al. 2017](https://www.hindawi.com/journals/js/2017/1353691/))\n2. Research on Vegetation Information Extraction from Visible UAV Remote Sensing Images ([yuan et al. 2018](https://ieeexplore.ieee.org/document/8598637))\n3. Hyperspectral vegetation indices and their relationships with agricultural crop characteristics([Thenkabail et al.2000](http://apps.webofknowledge.com/full_record.do?product=UA\u0026search_mode=GeneralSearch\u0026qid=8\u0026SID=5AYEOj1lDfu8CskvSSI\u0026page=2\u0026doc=17))\n4. Evaluating Multispectral Images and Vegetation Indices for Precision Farming Applications from UAV Images ([Candiago et al. 2015](https://www.mdpi.com/2072-4292/7/4/4026))\n\n## Multispectral Vegetation Index\n\n### Greenness and Cover\nBroadband 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)](https://www.sciencedirect.com/science/article/abs/pii/S0924271607000056)\nName| Abbrev. | Formula | Atmospheric Effects Parameters | Soil Adjustment Parameters| Reference\n---|---|---|---|---|---\nNormalized Difference Vegetation Index | NDVI |\u003cimg src=\"/tex/7b35265b8f684b978d6ca258ffc1ee24.svg?invert_in_darkmode\u0026sanitize=true\" align=middle width=70.97080154999999pt height=29.40633629999998pt/\u003e|Pigment, Canopy | | [paper](https://scholar.google.com/scholar_lookup?title=Monitoring%20vegetation%20systems%20in%20the%20great%20plains%20with%20erts\u0026author=J.%20W.%20Rouse%20Jr.\u0026author=R.%20Haas\u0026author=J.%20Schell\u0026author=\u0026author=D.%20Deering\u0026publication_year=1974))\nThe Wide Dynamic Range Vegetation Index|WDRVI | \u003cimg src=\"/tex/600d3c5700a8990dedd0db8bdd9c739a.svg?invert_in_darkmode\u0026sanitize=true\" align=middle width=97.1250093pt height=29.223734100000023pt/\u003e\nSimple Ratio  | SR| \u003cimg src=\"/tex/bf40c029b602e3b5914dc1e39ff6ea84.svg?invert_in_darkmode\u0026sanitize=true\" align=middle width=82.1123193pt height=28.92634470000001pt/\u003e \nAtmospherically Resistant Vegetation Index | ARVI|\u003cimg src=\"/tex/e3fca41f3959180a50953448725694d4.svg?invert_in_darkmode\u0026sanitize=true\" align=middle width=182.55683489999998pt height=33.20539859999999pt/\u003e | γ| | \nsoil and atmosphere resistant vegetation|SARVI|\u003cimg src=\"/tex/ac5ecd355a60014812bd7622561e17ae.svg?invert_in_darkmode\u0026sanitize=true\" align=middle width=255.64816199999999pt height=33.20539859999999pt/\u003e | γ|L | \nmodified soil and atmosphere resistant vegetation|MSARVI| \u003cimg src=\"/tex/1ac79f9e0f5ef040f6bd9b7aa9d17af3.svg?invert_in_darkmode\u0026sanitize=true\" align=middle width=155.95144455000002pt height=29.40633629999998pt/\u003e| γ| | \natmosphere effect resistant vegetation|IAVI|\u003cimg src=\"/tex/46dbabc4d1446709aebc8baf1df5f4bf.svg?invert_in_darkmode\u0026sanitize=true\" align=middle width=188.19612734999998pt height=43.068412200000004pt/\u003e | γ|L |  \nEnhanced Vegetation Index | EVI| \u003cimg src=\"/tex/61e9210e3226c32090f8e2b1ec3536a6.svg?invert_in_darkmode\u0026sanitize=true\" align=middle width=219.02142405pt height=29.40633629999998pt/\u003e| C1|L |  \nPerpendicular Vegetation Index| PVI|\u003cimg src=\"/tex/029ad02dc1660f94e9ecaf7c4de926a1.svg?invert_in_darkmode\u0026sanitize=true\" align=middle width=224.90587845pt height=27.77565449999998pt/\u003e | |M,I | \nSoil Adjusted Vegetation Index| SAVI|\u003cimg src=\"/tex/5bca7c251f1e3ae4a30cc11484930ab4.svg?invert_in_darkmode\u0026sanitize=true\" align=middle width=144.15353535pt height=29.40633629999998pt/\u003e | |L| \nTransformed Soil Adjusted Vegetation Index| TSAVI|\u003cimg src=\"/tex/757f0d9a2330f2d3e404e07a51523846.svg?invert_in_darkmode\u0026sanitize=true\" align=middle width=138.35006625pt height=33.20539859999999pt/\u003e | |M,L| \nModified Soil Adjusted Vegetation Index| MSAVI|\u003cimg src=\"/tex/1ac79f9e0f5ef040f6bd9b7aa9d17af3.svg?invert_in_darkmode\u0026sanitize=true\" align=middle width=155.95144455000002pt height=29.40633629999998pt/\u003e | |L'| \nOptimized Soil Adjusted Vegetation Index| OSAVI|\u003cimg src=\"/tex/f24b89b73ceec65eccb645f1a7c83fc2.svg?invert_in_darkmode\u0026sanitize=true\" align=middle width=87.49485195pt height=29.40633629999998pt/\u003e | |θ| \ngeneralized soil-adjusted vegetation index| GESAVI|\u003cimg src=\"/tex/28678067ab4a4f8a5c299f5cc7a1b914.svg?invert_in_darkmode\u0026sanitize=true\" align=middle width=114.30663254999999pt height=29.40633629999998pt/\u003e | |L,M,Z| \nGlobal Environmental Monitoring _Index_| GEMI|\u003cimg src=\"/tex/7a9eb9f5eef25e1b1b484dd591220c1b.svg?invert_in_darkmode\u0026sanitize=true\" align=middle width=180.15604694999996pt height=29.40633629999998pt/\u003e | |n| \nChlorophyll Absorption Ratio Index | CARI | \u003cimg src=\"/tex/6814fbbdb6bd7e9fe6fee4aac33c1743.svg?invert_in_darkmode\u0026sanitize=true\" align=middle width=179.78853089999998pt height=43.068399000000014pt/\u003e\nModified Chlorophyll Absorption Ratio Index | MCARI | \nDifference Vegetation Index|DVI | \u003cimg src=\"/tex/37176aaac1664b188b90769aee6d30c3.svg?invert_in_darkmode\u0026sanitize=true\" align=middle width=92.52015299999998pt height=22.465723500000017pt/\u003e\nweighted Difference Vegetation Index|WDVI|\u003cimg src=\"/tex/b6c3a8c8f3af540aa5aad0f4cbdfb4ff.svg?invert_in_darkmode\u0026sanitize=true\" align=middle width=130.35106094999998pt height=22.465723500000017pt/\u003e| |L |  \nRenormalized Difference Vegetation Index|RDVI|\u003cimg src=\"/tex/2703fbdefba16513b6ba9f4007535acf.svg?invert_in_darkmode\u0026sanitize=true\" align=middle width=120.43830809999999pt height=27.780749700000012pt/\u003e\n\n*Parameter:\nM: Slope of soil baseline \nI: Intercept of soil baseline \nL: Soil conditioning index\nL': A formula need to be added\nθ: SAIL constant 0.16\nn: Atmospheric Regulation Factor(C =6、C =7．5)\ny: Atmospheric radiation correction coefficient*\n\n\n### Other Applications for Broadband Images\nName| Abbrev. | Formula | Satellite Example | Sensitivity | Reference\n---|---|---|---|---|---\nPhotochemical Reflectance Index|PRI | \u003cimg src=\"/tex/da789f46d4f08fa3d44f7b2a2deac813.svg?invert_in_darkmode\u0026sanitize=true\" align=middle width=65.10317384999999pt height=29.205422400000014pt/\u003e |  WorldView-2 | Light Use\nStructure Insensitive Pigment Index|SIPI | \u003cimg src=\"/tex/c2a215dcebfa06ccb8ef007066d49855.svg?invert_in_darkmode\u0026sanitize=true\" align=middle width=61.918216799999996pt height=29.205422400000014pt/\u003e |ALI | Light Use\nNormalized Difference Nitrogen Index | NDNI | \u003cimg src=\"/tex/af7c4c6a26a48a064f707175ad94b8c5.svg?invert_in_darkmode\u0026sanitize=true\" align=middle width=164.6553711pt height=36.825666900000016pt/\u003e | SCIAMACHY| Nitrogen\nPlant Senescence Reflectance Index|PSRI | \u003cimg src=\"/tex/0ddd13665dcc6730c60a976040899b44.svg?invert_in_darkmode\u0026sanitize=true\" align=middle width=85.70819399999999pt height=27.77565449999998pt/\u003e | LandsatMSS | Dry or Senescent Carbon\nCarotenoid Reflectance Index 1|CRI1 | \u003cimg src=\"/tex/57bee3ccf1fda9b067f2e80bb09f178d.svg?invert_in_darkmode\u0026sanitize=true\" align=middle width=142.69442384999996pt height=29.190975000000005pt/\u003e | LandsatTM |Carotenoid \nAnthocyanin Reflectance Index 1|ARI1,ARI2 | \u003cimg src=\"/tex/2fa2595c074759d606e3810ed7e5ee53.svg?invert_in_darkmode\u0026sanitize=true\" align=middle width=99.47054534999998pt height=27.77565449999998pt/\u003e | LandsatMSS| Anthocyanin \nNormalized Difference Water Index|NDWI |\u003cimg src=\"/tex/261ccd95c17bfe87595e6fd823abdf58.svg?invert_in_darkmode\u0026sanitize=true\" align=middle width=70.69687019999999pt height=29.205422400000014pt/\u003e    | MIPAS | Water \nMoisture Stress Index|MSI |\u003cimg src=\"/tex/827dd6ef4d1d8f7e7db2b30fa6c3af22.svg?invert_in_darkmode\u0026sanitize=true\" align=middle width=33.099598949999994pt height=29.205422400000014pt/\u003e     | LandsatTM|Water \nNormalized Difference Infrared Index|NDII | \u003cimg src=\"/tex/a3239a6c5752dce1f4cbb971ab3dc77d.svg?invert_in_darkmode\u0026sanitize=true\" align=middle width=95.72359499999999pt height=27.77565449999998pt/\u003e | ALI|Water \n\n\n\n\n## Hyperspectral Vegetation Index\nThe overall amount and quality of photosynthetic material in vegetation.\n\n| NAME                                                    | INDEX(series)       | FORMULA (sample)                                                                                                                                                                                              | SENSITIVITY           | Reference                          |\n|---------------------------------------------------------|---------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-----------------------|------------------------------------|\n| Improved SAVI with self-adjustment factor L             | MSAVI               | \u003cimg src=\"/tex/a854f6576305fc09f3270c70aa23573c.svg?invert_in_darkmode\u0026sanitize=true\" align=middle width=342.26362995pt height=29.424786600000015pt/\u003e                                                                                                       | Canopy structure      | Qi et al. (1994)                   |\n| Modified Triangular Vegetation Index                    | MTVI1,MTVI2         | \u003cimg src=\"/tex/2dd52dc2fb8c3b9c2c3a67a830d6248e.svg?invert_in_darkmode\u0026sanitize=true\" align=middle width=262.43776349999996pt height=24.65753399999998pt/\u003e                                                                                                                                       | Canopy structure      | Haboudane et al. (2004)            |\n| Normalized Difference Vegetation Index                  | gNDVI,hNDVI, etc    | \u003cimg src=\"/tex/e80b0119ed7caadc8a80a63a111c61fb.svg?invert_in_darkmode\u0026sanitize=true\" align=middle width=69.76673054999999pt height=28.670654099999997pt/\u003e                                                                                                                                                                                 | Canopy structure      | Rouse et al. (1974)                |\n| Optimized Soil Adjusted Vegetation Index                | OSAVI               | \u003cimg src=\"/tex/8151f9fede071b68f6016da05f2b6923.svg?invert_in_darkmode\u0026sanitize=true\" align=middle width=126.57611999999997pt height=33.20539859999999pt/\u003e                                                                                                                                       | Canopy structure      | Rondeaux et al. (1996)             |\n| Renormalized Difference Vegetation Index                | RDVI                | \u003cimg src=\"/tex/b78bd8c236252dce070dc78a62e98008.svg?invert_in_darkmode\u0026sanitize=true\" align=middle width=75.90230835pt height=29.205422400000014pt/\u003e                                                                                                                                                             | Canopy structure      | Rougean and Breon (1995)           |\n| Simple Ratio Index                                      | SR,SR705            | \u003cimg src=\"/tex/ad3b07718c6c870f8749203b570684ed.svg?invert_in_darkmode\u0026sanitize=true\" align=middle width=31.347054749999995pt height=28.670654099999997pt/\u003e                                                                                                                                                                                             | Canopy structure      | Jordan (1969); Rouse et al. (1979) |\n| Soil Adjusted Vegetation Index                          | SAVI,SAVI2          | \u003cimg src=\"/tex/121ae28ef18fec2fad10ccbbfeb05251.svg?invert_in_darkmode\u0026sanitize=true\" align=middle width=162.36415304999997pt height=29.205422400000014pt/\u003e                                                                                                                                              | Canopy structure      | Huete (1988)                       |\n| Spectral Polygon Vegetation Index                       | SPVI                | \u003cimg src=\"/tex/55e694635e08cdc280f123d77821de48.svg?invert_in_darkmode\u0026sanitize=true\" align=middle width=261.98112764999996pt height=24.65753399999998pt/\u003e                                                                                                                                               | Canopy structure      | Vincini et al. (2006)              |\n| Thematic Mapper NDVI                                    | tmNDVI              | \u003cimg src=\"/tex/8e8495d88f6f7a5b9827dfa92d0e3a5e.svg?invert_in_darkmode\u0026sanitize=true\" align=middle width=257.19882044999997pt height=43.559980199999984pt/\u003e       | Canopy structure      | Rouse et al. (1974)                |\n| Transformed Soil Adjusted Vegetation Index              | TSAVI               | \u003cimg src=\"/tex/8934590904d4af05ef5b817edba0542d.svg?invert_in_darkmode\u0026sanitize=true\" align=middle width=108.86405805pt height=33.20539859999999pt/\u003e                                                                                                                                            | Canopy structure      | Baret et al. (1989)                |\n| Anthocyanin Reflectance Index                           | ARI                 | \u003cimg src=\"/tex/235e41b4434c7f36a0acbff6b9c1bbe5.svg?invert_in_darkmode\u0026sanitize=true\" align=middle width=79.04819175pt height=27.77565449999998pt/\u003e                                                                                                                                                                         | Carotenoid content    | Gitelson et al. (2002)             |\n| Pigment Specific Simple Ratio for Carotenoids           | PSSRc               | \u003cimg src=\"/tex/6fc699b60189cdbf156d85c36b771b8c.svg?invert_in_darkmode\u0026sanitize=true\" align=middle width=27.5059026pt height=29.205422400000014pt/\u003e                                                                                                                                                                                     | Carotenoid content    | Blackburn (1998)                   |\n| Structural Independent Pigment Index                    | SIPI                | \u003cimg src=\"/tex/c2a215dcebfa06ccb8ef007066d49855.svg?invert_in_darkmode\u0026sanitize=true\" align=middle width=61.918216799999996pt height=29.205422400000014pt/\u003e                                                                                                                                                                 | Carotenoid content    | Penuelas and Filella (1998)        |\n| Carter Stress Index                                     | CSI1,CSI2           | \u003cimg src=\"/tex/40cf487b46d2774ed3f7c30e9efbf248.svg?invert_in_darkmode\u0026sanitize=true\" align=middle width=27.5059026pt height=29.205422400000014pt/\u003e                                                                                                                                                                                     | Chlorophyll           | Carter (1994)                      |\n| Chlorophyll Absorption Integral                         | CAI,CRI,CRI2        | \u003cimg src=\"/tex/ed9ea289881a0f2af8d78ec3e80e3cb8.svg?invert_in_darkmode\u0026sanitize=true\" align=middle width=259.4693277pt height=51.61677179999998pt/\u003e | Chlorophyll           | Oppelt and Mauser (2003)           |\n| Gitelson \u0026 Merzlyak Index                               | GM1,GM2             | \u003cimg src=\"/tex/41ecb58f2a7800fc4ac71a7044c009d5.svg?invert_in_darkmode\u0026sanitize=true\" align=middle width=19.657639649999997pt height=27.77565449999998pt/\u003e                                                                                                                                                                                             | Chlorophyll           | Gitelson and Merzlyak (1997)       |\n| Leaf Chlorophyll Index                                  | LCI,LIC1,LIC2,LIC3  | \u003cimg src=\"/tex/2eebcc327f0046e99a0b45ee22fe2e2a.svg?invert_in_darkmode\u0026sanitize=true\" align=middle width=65.10317384999999pt height=29.205422400000014pt/\u003e                                                                                                                                                                 | Chlorophyll           | Datt (1999)                        |\n| M Locherer Chlorophyll                                  | MLO                 | \u003cimg src=\"/tex/b1583a7fa7628f1aacd70f3e8cbcb717.svg?invert_in_darkmode\u0026sanitize=true\" align=middle width=27.5059026pt height=29.205422400000014pt/\u003e                                                                                                                                                                                     | Chlorophyll           | unpublished                        |\n| Modified Chlorophyll Absorption in Reflectance Index    | MCARI,MCARI1,MCARI2 | \u003cimg src=\"/tex/ef00a36f629f8443a8d1580e58fa214a.svg?invert_in_darkmode\u0026sanitize=true\" align=middle width=152.6242773pt height=29.205422400000014pt/\u003e                                                                                                                                                  | Chlorophyll           | Daughtry et al. (2000)             |\n| Normalized Phaeophytinization Index                     | NPQI                | \u003cimg src=\"/tex/4af894d6ddc23c61963ca066a2990a21.svg?invert_in_darkmode\u0026sanitize=true\" align=middle width=65.10317384999999pt height=29.205422400000014pt/\u003e                                                                                                                                                                 | Chlorophyll           | Barnes (1992)                      |\n| Photochemical Reflectance Index                         | PRI                 | \u003cimg src=\"/tex/da789f46d4f08fa3d44f7b2a2deac813.svg?invert_in_darkmode\u0026sanitize=true\" align=middle width=65.10317384999999pt height=29.205422400000014pt/\u003e                                                                                                                                                                 | Chlorophyll           | Gamon et al. (1992)                |\n| Red Edge Inflection Point                               | REIP1               | \u003cimg src=\"/tex/9cd81f8a3b8f1a3d3940f27ff1015fc9.svg?invert_in_darkmode\u0026sanitize=true\" align=middle width=195.87360045pt height=33.20539859999999pt/\u003e                                                                                                        | Chlorophyll           | Guyot et al. (1988)                |\n| Red Edge Point                                          | REP                 | \u003cimg src=\"/tex/f2a1ac0882674e642051580982842511.svg?invert_in_darkmode\u0026sanitize=true\" align=middle width=249.64058789999999pt height=32.60265690000002pt/\u003e                                                                                                             | Chlorophyll           | Dawson and Curran (1998)           |\n| Transformed Chlorophyll Absorption in Reflectance Index | TCARI               | \u003cimg src=\"/tex/ff06dffaf05315729a94df7af877200c.svg?invert_in_darkmode\u0026sanitize=true\" align=middle width=285.6696513pt height=29.205422400000014pt/\u003e                                                                                                                 | Chlorophyll           | Haboudane et al. (2002)            |\n| Triangular Vegetation Index                             | TVI                 | \u003cimg src=\"/tex/f9861b7dc94831cee995821efe084929.svg?invert_in_darkmode\u0026sanitize=true\" align=middle width=269.74373414999997pt height=24.65753399999998pt/\u003e                                                                                                                                       | Chlorophyll           | Broge and Leblanc (2000)           |\n| Vogelmann Index                                         | VOG1,VOG2,VOG3      | \u003cimg src=\"/tex/89c374a2c2594e785059dde6796c6bd6.svg?invert_in_darkmode\u0026sanitize=true\" align=middle width=27.5059026pt height=29.205422400000014pt/\u003e                                                                                                                                                                                    | Chlorophyll           | Vogelmann (1993)                   |\n| Zarco-Tejada \u0026 Miller                                   | ZTM                 | \u003cimg src=\"/tex/b2f1ecd1eaf25003a154d80072e73916.svg?invert_in_darkmode\u0026sanitize=true\" align=middle width=27.5059026pt height=29.205422400000014pt/\u003e                                                                                                                                                                                     | Chlorophyll           | Zarco-Tejada et al. (2001)         |\n| Pigment Specific Simple Ratio for Chl a                 | PSSRa               | \u003cimg src=\"/tex/5e4cac908ca68d4b99320932116f7248.svg?invert_in_darkmode\u0026sanitize=true\" align=middle width=27.5059026pt height=29.205422400000014pt/\u003e                                                                                                                                                                                     | Chlorophyll a         | Blackburn (1998)                   |\n| Pigment Specific Simple Ratio for Chl b                 | PSSRb               | \u003cimg src=\"/tex/ff0bec92122fa046c708c61442488ff0.svg?invert_in_darkmode\u0026sanitize=true\" align=middle width=27.5059026pt height=29.205422400000014pt/\u003e                                                                                                                                                                                     | Chlorophyll b         | Blackburn (1998)                   |\n| Shortwave Infrared Green Vegetation Index               | SWIRVI              | \u003cimg src=\"/tex/ed8f8c437e85d479a3e6eebad24bbae0.svg?invert_in_darkmode\u0026sanitize=true\" align=middle width=328.37389199999996pt height=24.65753399999998pt/\u003e                                                                                                                                      | Dry Matter            | Lobell et al. (2001)               |\n| Normalized Difference Lignin Index                      | NDLI                | \u003cimg src=\"/tex/b42b33abec8048d53d923a508ce38aff.svg?invert_in_darkmode\u0026sanitize=true\" align=middle width=164.6553711pt height=36.825666900000016pt/\u003e                                                                                                                   | Dry Matter / Lignin   | Serrano et al. (2002)              |\n| Normalized Difference Nitrogen Index                    | NDNI                | \u003cimg src=\"/tex/af7c4c6a26a48a064f707175ad94b8c5.svg?invert_in_darkmode\u0026sanitize=true\" align=middle width=164.6553711pt height=36.825666900000016pt/\u003e                                                                                                                   | Dry Matter / Nitrogen | Serrano et al. (2002)              |\n| Normalized Pigment Chlorophyll Index                    | NPCI                | \u003cimg src=\"/tex/1e9a6f37ebc3fb961fe345f7aa7e3e82.svg?invert_in_darkmode\u0026sanitize=true\" align=middle width=65.10317384999999pt height=29.205422400000014pt/\u003e                                                                                                                                                                 | Dry Matter / Pigment  | Penuelas et al. (1994)             |\n| Pigment Index                                           | BGI,BRI             | \u003cimg src=\"/tex/5154584857c0cbe3a47417713bedf6aa.svg?invert_in_darkmode\u0026sanitize=true\" align=middle width=27.5059026pt height=29.205422400000014pt/\u003e                                                                                                                                                                                     | Dry Matter / Pigment  | Zarco-Tejada et al. (2005)         |\n| Red-Green Pigment Index                                 | RGI                 | \u003cimg src=\"/tex/f53f3168bacef000f475a5f71bdd1160.svg?invert_in_darkmode\u0026sanitize=true\" align=middle width=27.5059026pt height=29.205422400000014pt/\u003e                                                                                                                                                                                     | Dry Matter / Pigment  | Zarco-Tejada et al. (2005)         |\n| Simple Ratio Pigment Index                              | SRPI                | \u003cimg src=\"/tex/7742b1df63a287bda016e35dcccfa658.svg?invert_in_darkmode\u0026sanitize=true\" align=middle width=27.5059026pt height=29.205422400000014pt/\u003e                                                                                                                                                                                     | Dry Matter / Pigment  | Penuelas et al. (1995)             |\n| Desease Water Stress Index                              | DSWI,DWSI5          | \u003cimg src=\"/tex/72ada0c306a49e59a10deb57761035ac.svg?invert_in_darkmode\u0026sanitize=true\" align=middle width=70.69687019999999pt height=29.205422400000014pt/\u003e                                                                                                                                                                  | Water Content         | Galvão et al. (2005)               |\n| Leaf Water Vegetation Index                             | LWVI1,LWVI2         | \u003cimg src=\"/tex/2210097ff71024926303251ce61de57b.svg?invert_in_darkmode\u0026sanitize=true\" align=middle width=70.69687019999999pt height=29.205422400000014pt/\u003e                                                                                                                                                               | Water Content         | Galvão et al. (2005)               |\n| Moisture Stress Index                                   | MSI                 | \u003cimg src=\"/tex/827dd6ef4d1d8f7e7db2b30fa6c3af22.svg?invert_in_darkmode\u0026sanitize=true\" align=middle width=33.099598949999994pt height=29.205422400000014pt/\u003e                                                                                                                                                                                    | Water Content         | Hunt et al. (1989)                 |\n| Normalized Difference Water Index                       | NDWI                | \u003cimg src=\"/tex/261ccd95c17bfe87595e6fd823abdf58.svg?invert_in_darkmode\u0026sanitize=true\" align=middle width=70.69687019999999pt height=29.205422400000014pt/\u003e                                                                                                                                                               | Water Content         | Gao (1996)                         |\n| Plant Water Index                                       | PWI                 | \u003cimg src=\"/tex/af25e9f9afd5f1a94ad322cb4467c04c.svg?invert_in_darkmode\u0026sanitize=true\" align=middle width=27.5059026pt height=29.205422400000014pt/\u003e                                                                                                                                                                                     | Water Content         | Penuelas et al. (1997)             |\n| Simple Ratio Water Index                                | SRWI                | \u003cimg src=\"/tex/4f7dc85f96dc04075d356f7b513fa591.svg?invert_in_darkmode\u0026sanitize=true\" align=middle width=33.099598949999994pt height=29.205422400000014pt/\u003e                                                                                                                                                                                    | Water Content         | Zarco-Tejada et al. (2003)         |\n\n## Vegetation Index for UAV images \nWith 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.\nName| Abbrev. | Formula | Atmospheric Effects Parameters | Soil Adjustment Parameters| Reference\n---|---|---|---|---|---\nNormalized Difference Vegetation Index | NDVI |\u003cimg src=\"/tex/7b35265b8f684b978d6ca258ffc1ee24.svg?invert_in_darkmode\u0026sanitize=true\" align=middle width=70.97080154999999pt height=29.40633629999998pt/\u003e|Pigment, Canopy | | [paper](https://scholar.google.com/scholar_lookup?title=Monitoring%20vegetation%20systems%20in%20the%20great%20plains%20with%20erts\u0026author=J.%20W.%20Rouse%20Jr.\u0026author=R.%20Haas\u0026author=J.%20Schell\u0026author=\u0026author=D.%20Deering\u0026publication_year=1974))\nVisible-band difference vegetation index |VDVI| \u003cimg src=\"/tex/6142b898de743335344015526d401bbc.svg?invert_in_darkmode\u0026sanitize=true\" align=middle width=141.23823285pt height=33.93596579999999pt/\u003e\nNormalized green-blue difference index | NGBDI |\nNormalized green-red difference index | NGRDI\nRed-green ratio index |RGRI\nBlue Green ratio index| BGRI\nExcess green|EXG\nExcess red | EXR\nexcess green minus excess red|EXGR\ncolor index of vegetation extraction|CIVE\nRed green blue vegetation index | RGBVI\n\n## Community\n\n### Learning Materials\n\n* [Index Database](https://www.indexdatabase.de/) - An Index-Data-Base (IDB) could be an useful tool to find indices for a required application, adapted to a selected sensor.\n*  [LandscapeToolbox](https://wiki.landscapetoolbox.org/doku.php/remote_sensing_methods:home) - The Vegetation/Greenness Indices part provides a detailed descriptions and applications of 9 common indices.\n\n\n## Software programs\nThere are currently a large number of software with Vegetation Index tools, and we have a brief summary of them, \n### Commercial\n|Name|Description| Customed Calculation | Pre definition Indices | Pre definition Satellite |\n|--|--|--|--|--|\n| ERDAS IMAGINE | |√ | |\n| ArcGIS | 15 Image indices are computed from multiband images  |√| 15|\n| ENVI | ENVI exposes 27 of these indices which were selected based upon their robustness, scientific basis, and applicability. |√|27|\n| Idrisi| A full suite of mathematical and relational modeling tools for deriving new data layers as a function of existing layers. |√ | |\n|Pix4Dfields| Dedicated software for agriculture | √|\n|opendronemap| https://opendronemap.org/webodm/|  √| \n### Open Source\n|Name|Description| Customed Calculation | Pre definition Indices | Pre definition Satellite |\n|--|--|--|--|--|\n| QGIS | |√ | |\n\n\n\u003c!-- End Links (do not remove me) --\u003e\n\n ## Note\n\nThis list will be updated in time, and volunteer contributions are welcome. For questions or sharing, please feel free to  [contact us](isxzl39@gmail.com)  or make issues.\n\n","funding_links":[],"readme_doi_urls":[],"works":{},"citation_counts":{},"total_citations":0,"keywords_from_contributors":[],"project_url":"https://ost.ecosyste.ms/api/v1/projects/1196","html_url":"https://ost.ecosyste.ms/projects/1196"}