RGBVIRed Green Blue Vegetation Index

VegetationMultispectralCitation Rank #106

Summary

The Red Green Blue Vegetation Index (RGBVI) is a vegetation spectral index intended for multispectral sensing. It was introduced in 2015; its source is cited as Juliane Bendig, Kang Yu, Helge Aasen, Andreas Bolten, Simon Bennertz, Janis Broscheit, Martin L. Gnyp, & Georg Bareth (2015). Combining UAV-based plant height from crop surface models, visible, and near infrared vegetation indices for biomass monitoring in barley. International Journal of Applied Earth Observation and Geoinformation, 39. https://doi.org/10.1016/j.jag.2015.02.012 .

Based on the latest citation data, this index is in the 66.77th percentile overall, ranking 106 out of 313 indices with citation data. Among the 25 indices published within two years of 2015, it ranks 8 (76th percentile). Within the vegetation application domain, it is in the 55.45th percentile and ranks 96 out of 211 indices with citation data. Among the 13 similarly aged vegetation indices, it ranks 5 (76.92th percentile).

Other indices from the same source

These catalogue entries share this index's scientific source and citation.

MGRVI

Formula

(G ** 2.0 - B * R)/(G ** 2.0 + B * R)

Bands

G

Green.

B

Blue.

R

Red.

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_MGRVI,
  author = {Juliane Bendig and Kang Yu and Helge Aasen and Andreas Bolten and Simon Bennertz and Janis Broscheit and Martin L. Gnyp and Georg Bareth},
  title = {Combining UAV-based plant height from crop surface models, visible, and near infrared vegetation indices for biomass monitoring in barley},
  journal = {International Journal of Applied Earth Observation and Geoinformation},
  volume = {39},
  year = {2015},
  doi = {10.1016/j.jag.2015.02.012},
  url = {https://doi.org/10.1016/j.jag.2015.02.012}
}

text

Juliane Bendig, Kang Yu, Helge Aasen, Andreas Bolten, Simon Bennertz, Janis Broscheit, Martin L. Gnyp, & Georg Bareth (2015). Combining UAV-based plant height from crop surface models, visible, and near infrared vegetation indices for biomass monitoring in barley. International Journal of Applied Earth Observation and Geoinformation, 39. https://doi.org/10.1016/j.jag.2015.02.012

Indices from the same source

These catalogue entries share this index's scientific source and citation.

MGRVI

Contribution Details

Contributor@davemlz

Date contributed2022-04-08