WCI1Wheat Canopy Index (Growth Stage 1)

VegetationMultispectralCitation Rank #311

Summary

The Wheat Canopy Index (Growth Stage 1) (WCI1) is a vegetation spectral index intended for multispectral sensing. It was introduced in 2026; its source is cited as Ali Lotfi, Adam Carter, Thuan Ha, Mohammad Meysami, Kwabena Nketia, & Steve Shirtliffe (2026). Interpretable machine learning–Derived spectral indices for vegetation monitoring. Machine Learning with Applications, 24. https://doi.org/10.1016/j.mlwa.2026.100914 .

Based on the latest citation data, this index is in the 1.92th percentile overall, ranking 311 out of 313 indices with citation data. Among the 19 indices published within two years of 2026, it ranks 17 (31.58th percentile). Within the vegetation application domain, it is in the 1.9th percentile and ranks 209 out of 211 indices with citation data. Among the 13 similarly aged vegetation indices, it ranks 11 (30.77th percentile).

Other indices from the same source

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

KDI WCI2 WCI3

Formula

-1.0 * ((B - R + RE1)/(B + R + RE1 + epsilon)) * ((G + R)/(B + N + epsilon))

Bands

B

Blue.

R

Red.

RE1

Red Edge 1.

G

Green.

N

Near-Infrared (NIR).

Polarizations

No radar polarizations are used in this index.

Constants

epsilon

Adjustment constant for numerical stability.

Default value1e-10

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_KDI,
  author = {Ali Lotfi and Adam Carter and Thuan Ha and Mohammad Meysami and Kwabena Nketia and Steve Shirtliffe},
  title = {Interpretable machine learning–Derived spectral indices for vegetation monitoring},
  journal = {Machine Learning with Applications},
  volume = {24},
  year = {2026},
  doi = {10.1016/j.mlwa.2026.100914},
  url = {https://doi.org/10.1016/j.mlwa.2026.100914}
}

text

Ali Lotfi, Adam Carter, Thuan Ha, Mohammad Meysami, Kwabena Nketia, & Steve Shirtliffe (2026). Interpretable machine learning–Derived spectral indices for vegetation monitoring. Machine Learning with Applications, 24. https://doi.org/10.1016/j.mlwa.2026.100914

Indices from the same source

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

KDI WCI2 WCI3

Contribution Details

Contributor@davemlz

Date contributed2026-05-27