NDPINormalized Difference Phenology Index

VegetationMultispectralCitation Rank #176

Summary

The Normalized Difference Phenology Index (NDPI) is a vegetation spectral index intended for multispectral sensing. It was introduced in 2017; its source is cited as Cong Wang, Jin Chen, Jin Wu, Yanhong Tang, Peijun Shi, T. Andrew Black, & Kai Zhu (2017). A snow-free vegetation index for improved monitoring of vegetation spring green-up date in deciduous ecosystems. Remote Sensing of Environment, 196. https://doi.org/10.1016/j.rse.2017.04.031 .

Based on the latest citation data, this index is in the 44.09th percentile overall, ranking 176 out of 313 indices with citation data. Among the 51 indices published within two years of 2017, it ranks 16 (70.59th percentile). Within the vegetation application domain, it is in the 30.33th percentile and ranks 148 out of 211 indices with citation data. Among the 22 similarly aged vegetation indices, it ranks 11 (54.55th percentile).

Formula

(N - (alpha * R + (1.0 - alpha) * S1))/(N + (alpha * R + (1.0 - alpha) * S1))

Bands

N

Near-Infrared (NIR).

R

Red.

S1

Short-wave Infrared (SWIR) 1.

Polarizations

No radar polarizations are used in this index.

Constants

alpha

Weighting coefficient.

Default value0.74

Suggested range0–1

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_NDPI,
  author = {Cong Wang and Jin Chen and Jin Wu and Yanhong Tang and Peijun Shi and T. Andrew Black and Kai Zhu},
  title = {A snow-free vegetation index for improved monitoring of vegetation spring green-up date in deciduous ecosystems},
  journal = {Remote Sensing of Environment},
  volume = {196},
  year = {2017},
  doi = {10.1016/j.rse.2017.04.031},
  url = {https://doi.org/10.1016/j.rse.2017.04.031}
}

text

Cong Wang, Jin Chen, Jin Wu, Yanhong Tang, Peijun Shi, T. Andrew Black, & Kai Zhu (2017). A snow-free vegetation index for improved monitoring of vegetation spring green-up date in deciduous ecosystems. Remote Sensing of Environment, 196. https://doi.org/10.1016/j.rse.2017.04.031

Contribution Details

Contributor@davemlz

Date contributed2022-01-20