Skip to content

KDIKochia Detection Index

VegetationMultispectralCitation Rank #309

Summary

The Kochia Detection Index (KDI) 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 309 out of 313 indices with citation data. Among the 19 indices published within two years of 2026, it ranks 15 (31.58th percentile). Within the vegetation application domain, it is in the 1.9th percentile and ranks 208 out of 211 indices with citation data. Among the 13 similarly aged vegetation indices, it ranks 10 (30.77th percentile).

Other indices from the same source

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

Formula

((N + S1 - RE3)/(N + S1 + RE3)) * ((RE1 - 2.0 * RE3 + N)/(RE1 + 2.0 * RE3 + N))

Bands

N

Near-Infrared (NIR).

S1

Short-wave Infrared (SWIR) 1.

RE3

Red Edge 3.

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.

Released under the MIT License.