NDGINormalized Difference Greenness Index

VegetationMultispectralCitation Rank #248

Summary

The Normalized Difference Greenness Index (NDGI) is a vegetation spectral index intended for multispectral sensing. It was introduced in 2019; its source is cited as Wei Yang, Hideki Kobayashi, Cong Wang, Miaogen Shen, Jin Chen, Bunkei Matsushita, Yanhong Tang, Yongwon Kim, M. Syndonia Bret-Harte, Donatella Zona, Walter Oechel, & Akihiko Kondoh (2019). A semi-analytical snow-free vegetation index for improving estimation of plant phenology in tundra and grassland ecosystems. Remote Sensing of Environment, 228. https://doi.org/10.1016/j.rse.2019.03.028 .

Based on the latest citation data, this index is in the 22.4th percentile overall, ranking 248 out of 317 indices with citation data. Among the 70 indices published within two years of 2019, it ranks 48 (34.29th percentile). Within the vegetation application domain, it is in the 17.84th percentile and ranks 177 out of 213 indices with citation data. Among the 36 similarly aged vegetation indices, it ranks 23 (41.67th percentile).

Other indices from the same source

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

DVIplus

Formula

(((lambdaN - lambdaR)/(lambdaN - lambdaG)) * G + (1.0 - ((lambdaN - lambdaR)/(lambdaN - lambdaG))) * N - R)/(((lambdaN - lambdaR)/(lambdaN - lambdaG)) * G + (1.0 - ((lambdaN - lambdaR)/(lambdaN - lambdaG))) * N + R)

Bands

G

Green.

N

Near-Infrared (NIR).

R

Red.

Polarizations

No radar polarizations are used in this index.

Constants

lambdaG

Green central wavelength (nm).

Default valueNot specified

lambdaN

NIR central wavelength (nm).

Default valueNot specified

lambdaR

Red central wavelength (nm).

Default valueNot specified

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_DVIplus,
  author = {Wei Yang and Hideki Kobayashi and Cong Wang and Miaogen Shen and Jin Chen and Bunkei Matsushita and Yanhong Tang and Yongwon Kim and M. Syndonia Bret-Harte and Donatella Zona and Walter Oechel and Akihiko Kondoh},
  title = {A semi-analytical snow-free vegetation index for improving estimation of plant phenology in tundra and grassland ecosystems},
  journal = {Remote Sensing of Environment},
  volume = {228},
  year = {2019},
  doi = {10.1016/j.rse.2019.03.028},
  url = {https://doi.org/10.1016/j.rse.2019.03.028}
}

text

Wei Yang, Hideki Kobayashi, Cong Wang, Miaogen Shen, Jin Chen, Bunkei Matsushita, Yanhong Tang, Yongwon Kim, M. Syndonia Bret-Harte, Donatella Zona, Walter Oechel, & Akihiko Kondoh (2019). A semi-analytical snow-free vegetation index for improving estimation of plant phenology in tundra and grassland ecosystems. Remote Sensing of Environment, 228. https://doi.org/10.1016/j.rse.2019.03.028

Indices from the same source

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

DVIplus

Contribution Details

Contributor@davemlz

Date contributed2022-01-20