REDSIRed-Edge Disease Stress Index

VegetationMultispectralCitation Rank #191

Summary

The Red-Edge Disease Stress Index (REDSI) is a vegetation spectral index intended for multispectral sensing. It was introduced in 2018; its source is cited as Qiong Zheng, Wenjiang Huang, Ximin Cui, Yue Shi, & Linyi Liu (2018). New Spectral Index for Detecting Wheat Yellow Rust Using Sentinel-2 Multispectral Imagery. Sensors, 18(3). https://doi.org/10.3390/s18030868 .

Based on the latest citation data, this index is in the 39.94th percentile overall, ranking 191 out of 313 indices with citation data. Among the 56 indices published within two years of 2018, it ranks 15 (75th percentile). Within the vegetation application domain, it is in the 26.07th percentile and ranks 157 out of 211 indices with citation data. Among the 26 similarly aged vegetation indices, it ranks 11 (61.54th percentile).

Formula

((705.0 - 665.0) * (RE3 - R) - (783.0 - 665.0) * (RE1 - R)) / (2.0 * R)

Bands

RE3

Red Edge 3.

R

Red.

RE1

Red Edge 1.

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_REDSI,
  author = {Qiong Zheng and Wenjiang Huang and Ximin Cui and Yue Shi and Linyi Liu},
  title = {New Spectral Index for Detecting Wheat Yellow Rust Using Sentinel-2 Multispectral Imagery},
  journal = {Sensors},
  volume = {18},
  number = {3},
  year = {2018},
  doi = {10.3390/s18030868},
  url = {https://doi.org/10.3390/s18030868}
}

text

Qiong Zheng, Wenjiang Huang, Ximin Cui, Yue Shi, & Linyi Liu (2018). New Spectral Index for Detecting Wheat Yellow Rust Using Sentinel-2 Multispectral Imagery. Sensors, 18(3). https://doi.org/10.3390/s18030868

Contribution Details

Contributor@davemlz

Date contributed2021-11-06