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sNIRvSWIRSWIR-enhanced Near-Infrared Reflectance of Vegetation

VegetationMultispectralCitation Rank #304

Summary

The SWIR-enhanced Near-Infrared Reflectance of Vegetation (sNIRvSWIR) is a vegetation spectral index intended for multispectral sensing. It was introduced in 2024; its source is cited as Sadegh Ranjbar, Danielle Losos, Benjamin Dechant, Sophie Hoffman, Eyyup Ensar Başakın, & Paul C. Stoy (2024). Harnessing Information From Shortwave Infrared Reflectance Bands to Enhance Satellite‐Based Estimates of Gross Primary Productivity. Journal of Geophysical Research: Biogeosciences, 129(11). https://doi.org/10.1029/2024jg008240 .

Based on the latest citation data, this index is in the 6.31th percentile overall, ranking 304 out of 317 indices with citation data. Among the 31 indices published within two years of 2024, it ranks 21 (54.84th percentile). Within the vegetation application domain, it is in the 6.1th percentile and ranks 207 out of 213 indices with citation data. Among the 20 similarly aged vegetation indices, it ranks 14 (65th percentile).

Other indices from the same source

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

Formula

((N - R - S2 ** 2.0)/(N + R + S2 ** 2.0)) * N

Bands

N

Near-Infrared (NIR).

R

Red.

S2

Short-wave Infrared (SWIR) 2.

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.