NNear-Infrared (NIR).
sNIRvLSWISWIR-enhanced Near-Infrared Reflectance of Vegetation for LSWI
VegetationMultispectralCitation Rank #298
Skip to content No radar polarizations are used in this index. No constants are used in this index. No contextual reductions are used in this index.
Summary
The SWIR-enhanced Near-Infrared Reflectance of Vegetation for LSWI (sNIRvLSWI) 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 6.07th percentile overall, ranking 298 out of 313 indices with citation data. Among the 30 indices published within two years of 2024, it ranks 17 (56.67th percentile). Within the vegetation application domain, it is in the 6.16th percentile and ranks 202 out of 211 indices with citation data. Among the 20 similarly aged vegetation indices, it ranks 11 (65th percentile).
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These catalogue entries share this index's scientific source and citation.
Formula
((N - S2)/(N + S2)) * NBands
S2Short-wave Infrared (SWIR) 2.