NNear-Infrared (NIR).
SRVISymbolic Regression Vegetation Index
VegetationMultispectralCitation Rank #306
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 Symbolic Regression Vegetation Index (SRVI) is a vegetation spectral index intended for multispectral sensing. It was introduced in 2026; its source is cited as Charalambos Chrysostomou, Stelios P. Neophytides, Michalis Mavrovouniotis, & Diofantos G. Hadjimitsis (2026). Optimized spectral indices for global vegetation and water mapping using Sentinel-2. Scientific Reports, 16(1). https://doi.org/10.1038/s41598-025-34720-x .
Based on the latest citation data, this index is in the 2.88th percentile overall, ranking 306 out of 313 indices with citation data. Among the 19 indices published within two years of 2026, it ranks 12 (47.37th percentile). Within the vegetation application domain, it is in the 2.37th percentile and ranks 207 out of 211 indices with citation data. Among the 13 similarly aged vegetation indices, it ranks 9 (38.46th percentile).
Other indices from the same source
These catalogue entries share this index's scientific source and citation.
Formula
(2.0 * N - 3.0 * R) / (N + R + 0.5 * (G + S1))Bands
RRed.
GGreen.
S1Short-wave Infrared (SWIR) 1.