GVMIGlobal Vegetation Moisture Index

VegetationMultispectralCitation Rank #107

Summary

The Global Vegetation Moisture Index (GVMI) is a vegetation spectral index intended for multispectral sensing. It was introduced in 2002; its source is cited as Pietro Ceccato, Nadine Gobron, Stéphane Flasse, Bernard Pinty, & Stefano Tarantola (2002). Designing a spectral index to estimate vegetation water content from remote sensing data: Part 1. Remote Sensing of Environment, 82(2-3). https://doi.org/10.1016/s0034-4257(02)00037-8 .

Based on the latest citation data, this index is in the 66.13th percentile overall, ranking 107 out of 313 indices with citation data. Among the 49 indices published within two years of 2002, it ranks 26 (48.98th percentile). Within the vegetation application domain, it is in the 54.5th percentile and ranks 97 out of 211 indices with citation data. Among the 41 similarly aged vegetation indices, it ranks 24 (43.9th percentile).

Formula

((N + 0.1) - (S2 + 0.02)) / ((N + 0.1) + (S2 + 0.02))

Bands

N

Near-Infrared (NIR).

S2

Short-wave Infrared (SWIR) 2.

Polarizations

No radar polarizations are used in this index.

Constants

No constants are used in this index.

Reductions

No contextual reductions are used in this index.

Cite this Index

Use either format below to cite the scientific source associated with this index.

BibTeXAPA

bibtex

@article{ASI_GVMI,
  author = {Pietro Ceccato and Nadine Gobron and Stéphane Flasse and Bernard Pinty and Stefano Tarantola},
  title = {Designing a spectral index to estimate vegetation water content from remote sensing data: Part 1},
  journal = {Remote Sensing of Environment},
  volume = {82},
  number = {2-3},
  year = {2002},
  doi = {10.1016/s0034-4257(02)00037-8},
  url = {https://doi.org/10.1016/s0034-4257(02)00037-8}
}

text

Pietro Ceccato, Nadine Gobron, Stéphane Flasse, Bernard Pinty, & Stefano Tarantola (2002). Designing a spectral index to estimate vegetation water content from remote sensing data: Part 1. Remote Sensing of Environment, 82(2-3). https://doi.org/10.1016/s0034-4257(02)00037-8

Contribution Details

Contributor@davemlz

Date contributed2021-04-07