Awesome Vegetation Index
List of reference, applications of common Vegetation Indices for Multi-spectral, hyper-spectral and UAV images.
https://github.com/px39n/Awesome-Vegetation-Index
Category: Sustainable Development
Sub Category: Curated Lists
Last synced: about 9 hours ago
JSON representation
Repository metadata
A curated list of the best Vegetation Index papers by category
- Host: GitHub
- URL: https://github.com/px39n/Awesome-Vegetation-Index
- Owner: px39n
- Created: 2020-09-19T18:36:35.000Z (over 4 years ago)
- Default Branch: master
- Last Pushed: 2023-03-09T15:39:18.000Z (about 2 years ago)
- Last Synced: 2025-04-25T03:14:54.064Z (3 days ago)
- Size: 805 KB
- Stars: 73
- Watchers: 4
- Forks: 8
- Open Issues: 0
- Releases: 0
-
Metadata Files:
- Readme: README.md
README.md
Awesome Vegetation Index 
List of reference, applications of common Vegetation Indices for Multi-spectral, hyper-spectral and UAV images. (contribution are welcome)
Table of Contents
- Literature Reviews
- Multispectral Vegetation Index
- Hyperspectral Vegetation Index
- Vegetation Index for UAV images
- Community
- Software
Literature Reviews for VI
- Significant Remote Sensing Vegetation Indices: A Review of Developments and Applications (li et al. 2017)
- Research on Vegetation Information Extraction from Visible UAV Remote Sensing Images (yuan et al. 2018)
- Hyperspectral vegetation indices and their relationships with agricultural crop characteristics(Thenkabail et al.2000)
- 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)
| Name | Abbrev. | Formula | Atmospheric Effects Parameters | Soil Adjustment Parameters | Reference |
|---|---|---|---|---|---|
| Normalized Difference Vegetation Index | NDVI | Pigment, Canopy | paper) | ||
| The Wide Dynamic Range Vegetation Index | WDRVI | ||||
| Simple Ratio | SR | ||||
| Atmospherically Resistant Vegetation Index | ARVI | γ | |||
| soil and atmosphere resistant vegetation | SARVI | γ | L | ||
| modified soil and atmosphere resistant vegetation | MSARVI | γ | |||
| atmosphere effect resistant vegetation | IAVI | γ | L | ||
| Enhanced Vegetation Index | EVI | C1 | L | ||
| Perpendicular Vegetation Index | PVI | M,I | |||
| Soil Adjusted Vegetation Index | SAVI | L | |||
| Transformed Soil Adjusted Vegetation Index | TSAVI | M,L | |||
| Modified Soil Adjusted Vegetation Index | MSAVI | L' | |||
| Optimized Soil Adjusted Vegetation Index | OSAVI | θ | |||
| generalized soil-adjusted vegetation index | GESAVI | L,M,Z | |||
| Global Environmental Monitoring Index | GEMI | n | |||
| Chlorophyll Absorption Ratio Index | CARI | ||||
| Modified Chlorophyll Absorption Ratio Index | MCARI | ||||
| Difference Vegetation Index | DVI | ||||
| weighted Difference Vegetation Index | WDVI | L | |||
| Renormalized Difference Vegetation Index | RDVI |
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
| Name | Abbrev. | Formula | Satellite Example | Sensitivity | Reference |
|---|---|---|---|---|---|
| Photochemical Reflectance Index | PRI | WorldView-2 | Light Use | ||
| Structure Insensitive Pigment Index | SIPI | ALI | Light Use | ||
| Normalized Difference Nitrogen Index | NDNI | SCIAMACHY | Nitrogen | ||
| Plant Senescence Reflectance Index | PSRI | LandsatMSS | Dry or Senescent Carbon | ||
| Carotenoid Reflectance Index 1 | CRI1 | LandsatTM | Carotenoid | ||
| Anthocyanin Reflectance Index 1 | ARI1,ARI2 | LandsatMSS | Anthocyanin | ||
| Normalized Difference Water Index | NDWI | MIPAS | Water | ||
| Moisture Stress Index | MSI | LandsatTM | Water | ||
| Normalized Difference Infrared Index | NDII | ALI | Water |
Hyperspectral Vegetation Index
The overall amount and quality of photosynthetic material in vegetation.
| NAME | INDEX(series) | FORMULA (sample) | SENSITIVITY | Reference |
|---|---|---|---|---|
| Improved SAVI with self-adjustment factor L | MSAVI | Canopy structure | Qi et al. (1994) | |
| Modified Triangular Vegetation Index | MTVI1,MTVI2 | Canopy structure | Haboudane et al. (2004) | |
| Normalized Difference Vegetation Index | gNDVI,hNDVI, etc | Canopy structure | Rouse et al. (1974) | |
| Optimized Soil Adjusted Vegetation Index | OSAVI | Canopy structure | Rondeaux et al. (1996) | |
| Renormalized Difference Vegetation Index | RDVI | Canopy structure | Rougean and Breon (1995) | |
| Simple Ratio Index | SR,SR705 | Canopy structure | Jordan (1969); Rouse et al. (1979) | |
| Soil Adjusted Vegetation Index | SAVI,SAVI2 | Canopy structure | Huete (1988) | |
| Spectral Polygon Vegetation Index | SPVI | Canopy structure | Vincini et al. (2006) | |
| Thematic Mapper NDVI | tmNDVI | Canopy structure | Rouse et al. (1974) | |
| Transformed Soil Adjusted Vegetation Index | TSAVI | Canopy structure | Baret et al. (1989) | |
| Anthocyanin Reflectance Index | ARI | Carotenoid content | Gitelson et al. (2002) | |
| Pigment Specific Simple Ratio for Carotenoids | PSSRc | Carotenoid content | Blackburn (1998) | |
| Structural Independent Pigment Index | SIPI | Carotenoid content | Penuelas and Filella (1998) | |
| Carter Stress Index | CSI1,CSI2 | Chlorophyll | Carter (1994) | |
| Chlorophyll Absorption Integral | CAI,CRI,CRI2 | Chlorophyll | Oppelt and Mauser (2003) | |
| Gitelson & Merzlyak Index | GM1,GM2 | Chlorophyll | Gitelson and Merzlyak (1997) | |
| Leaf Chlorophyll Index | LCI,LIC1,LIC2,LIC3 | Chlorophyll | Datt (1999) | |
| M Locherer Chlorophyll | MLO | Chlorophyll | unpublished | |
| Modified Chlorophyll Absorption in Reflectance Index | MCARI,MCARI1,MCARI2 | Chlorophyll | Daughtry et al. (2000) | |
| Normalized Phaeophytinization Index | NPQI | Chlorophyll | Barnes (1992) | |
| Photochemical Reflectance Index | PRI | Chlorophyll | Gamon et al. (1992) | |
| Red Edge Inflection Point | REIP1 | Chlorophyll | Guyot et al. (1988) | |
| Red Edge Point | REP | Chlorophyll | Dawson and Curran (1998) | |
| Transformed Chlorophyll Absorption in Reflectance Index | TCARI | Chlorophyll | Haboudane et al. (2002) | |
| Triangular Vegetation Index | TVI | Chlorophyll | Broge and Leblanc (2000) | |
| Vogelmann Index | VOG1,VOG2,VOG3 | Chlorophyll | Vogelmann (1993) | |
| Zarco-Tejada & Miller | ZTM | Chlorophyll | Zarco-Tejada et al. (2001) | |
| Pigment Specific Simple Ratio for Chl a | PSSRa | Chlorophyll a | Blackburn (1998) | |
| Pigment Specific Simple Ratio for Chl b | PSSRb | Chlorophyll b | Blackburn (1998) | |
| Shortwave Infrared Green Vegetation Index | SWIRVI | Dry Matter | Lobell et al. (2001) | |
| Normalized Difference Lignin Index | NDLI | Dry Matter / Lignin | Serrano et al. (2002) | |
| Normalized Difference Nitrogen Index | NDNI | Dry Matter / Nitrogen | Serrano et al. (2002) | |
| Normalized Pigment Chlorophyll Index | NPCI | Dry Matter / Pigment | Penuelas et al. (1994) | |
| Pigment Index | BGI,BRI | Dry Matter / Pigment | Zarco-Tejada et al. (2005) | |
| Red-Green Pigment Index | RGI | Dry Matter / Pigment | Zarco-Tejada et al. (2005) | |
| Simple Ratio Pigment Index | SRPI | Dry Matter / Pigment | Penuelas et al. (1995) | |
| Desease Water Stress Index | DSWI,DWSI5 | Water Content | Galvão et al. (2005) | |
| Leaf Water Vegetation Index | LWVI1,LWVI2 | Water Content | Galvão et al. (2005) | |
| Moisture Stress Index | MSI | Water Content | Hunt et al. (1989) | |
| Normalized Difference Water Index | NDWI | Water Content | Gao (1996) | |
| Plant Water Index | PWI | Water Content | Penuelas et al. (1997) | |
| Simple Ratio Water Index | SRWI | Water Content | Zarco-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.
| Name | Abbrev. | Formula | Atmospheric Effects Parameters | Soil Adjustment Parameters | Reference |
|---|---|---|---|---|---|
| Normalized Difference Vegetation Index | NDVI | Pigment, Canopy | paper) | ||
| Visible-band difference vegetation index | VDVI | ||||
| Normalized green-blue difference index | NGBDI | ||||
| Normalized green-red difference index | NGRDI | ||||
| Red-green ratio index | RGRI | ||||
| Blue Green ratio index | BGRI | ||||
| Excess green | EXG | ||||
| Excess red | EXR | ||||
| excess green minus excess red | EXGR | ||||
| color index of vegetation extraction | CIVE | ||||
| Red green blue vegetation index | RGBVI |
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
| Name | Description | Customed Calculation | Pre definition Indices | Pre definition Satellite |
|---|---|---|---|---|
| ERDAS IMAGINE | √ | |||
| ArcGIS | 15 Image indices are computed from multiband images | √ | 15 | |
| ENVI | ENVI exposes 27 of these indices which were selected based upon their robustness, scientific basis, and applicability. | √ | 27 | |
| Idrisi | A full suite of mathematical and relational modeling tools for deriving new data layers as a function of existing layers. | √ | ||
| Pix4Dfields | Dedicated software for agriculture | √ | ||
| opendronemap | https://opendronemap.org/webodm/ | √ |
Open Source
| Name | Description | Customed Calculation | Pre definition Indices | Pre 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.
Owner metadata
- Name:
- Login: px39n
- Email:
- Kind: user
- Description: Data Scientist, Remote Sensing Expert
- Website:
- Location: Berlin
- Twitter:
- Company: Germany
- Icon url: https://avatars.githubusercontent.com/u/53490111?u=81b3a7d2234401d5cf921f58c9d57b91b67e44dc&v=4
- Repositories: 36
- Last ynced at: 2024-06-11T15:40:30.097Z
- Profile URL: https://github.com/px39n
GitHub Events
Total
- Watch event: 9
Last Year
- Watch event: 9
Committers metadata
Last synced: 7 days ago
Total Commits: 15
Total Committers: 2
Avg Commits per committer: 7.5
Development Distribution Score (DDS): 0.333
Commits in past year: 2
Committers in past year: 1
Avg Commits per committer in past year: 2.0
Development Distribution Score (DDS) in past year: 0.0
| Name | Commits | |
|---|---|---|
| Zhehao liang | i****9@g****m | 10 |
| texify[bot] | 3****] | 5 |
Committer domains:
Issue and Pull Request metadata
Last synced: 1 day ago
Total issues: 1
Total pull requests: 0
Average time to close issues: about 1 month
Average time to close pull requests: N/A
Total issue authors: 1
Total pull request authors: 0
Average comments per issue: 1.0
Average comments per pull request: 0
Merged pull request: 0
Bot issues: 0
Bot pull requests: 0
Past year issues: 0
Past year pull requests: 0
Past year average time to close issues: N/A
Past year average time to close pull requests: N/A
Past year issue authors: 0
Past year pull request authors: 0
Past year average comments per issue: 0
Past year average comments per pull request: 0
Past year merged pull request: 0
Past year bot issues: 0
Past year bot pull requests: 0
Top Issue Authors
- giantamoeba (1)
Top Pull Request Authors
Top Issue Labels
Top Pull Request Labels
Score: 4.983606621708336