NIRvH2Hyperspectral Near-Infrared Reflectance of Vegetation

VegetationMultispectralCitation Rank #245

Summary

The Hyperspectral Near-Infrared Reflectance of Vegetation (NIRvH2) is a vegetation spectral index intended for multispectral sensing. It was introduced in 2021; its source is cited as Yelu Zeng, Dalei Hao, Grayson Badgley, Alexander Damm, Uwe Rascher, Youngryel Ryu, Jennifer Johnson, Vera Krieger, Shengbiao Wu, Han Qiu, Yaling Liu, Joseph A. Berry, & Min Chen (2021). Estimating near-infrared reflectance of vegetation from hyperspectral data. Remote Sensing of Environment, 267. https://doi.org/10.1016/j.rse.2021.112723 .

Based on the latest citation data, this index is in the 23.66th percentile overall, ranking 245 out of 317 indices with citation data. Among the 60 indices published within two years of 2021, it ranks 30 (51.67th percentile). Within the vegetation application domain, it is in the 19.25th percentile and ranks 174 out of 213 indices with citation data. Among the 35 similarly aged vegetation indices, it ranks 17 (54.29th percentile).

Formula

N - R - k * (lambdaN - lambdaR)

Bands

N

Near-Infrared (NIR).

R

Red.

Polarizations

No radar polarizations are used in this index.

Constants

k

Slope parameter by soil. Derived by fitting a linear model on refletances against wavelengths in either the red region (675-681 nm) or the NIR region (778-800 nm).

Default value0

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_NIRvH2,
  author = {Yelu Zeng and Dalei Hao and Grayson Badgley and Alexander Damm and Uwe Rascher and Youngryel Ryu and Jennifer Johnson and Vera Krieger and Shengbiao Wu and Han Qiu and Yaling Liu and Joseph A. Berry and Min Chen},
  title = {Estimating near-infrared reflectance of vegetation from hyperspectral data},
  journal = {Remote Sensing of Environment},
  volume = {267},
  year = {2021},
  doi = {10.1016/j.rse.2021.112723},
  url = {https://doi.org/10.1016/j.rse.2021.112723}
}

text

Yelu Zeng, Dalei Hao, Grayson Badgley, Alexander Damm, Uwe Rascher, Youngryel Ryu, Jennifer Johnson, Vera Krieger, Shengbiao Wu, Han Qiu, Yaling Liu, Joseph A. Berry, & Min Chen (2021). Estimating near-infrared reflectance of vegetation from hyperspectral data. Remote Sensing of Environment, 267. https://doi.org/10.1016/j.rse.2021.112723

Contribution Details

Contributor@davemlz

Date contributed2022-01-17