GGreen.
SRWISymbolic Regression Water Index
WaterMultispectralCitation Rank #309
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 Water Index (SRWI) is a water 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 3.15th percentile overall, ranking 309 out of 317 indices with citation data. Among the 19 indices published within two years of 2026, it ranks 12 (47.37th percentile). Within the water application domain, it is in the 6.25th percentile and ranks 31 out of 32 indices with citation data. Among the 4 similarly aged water indices, it ranks 3 (50th percentile).
Other indices from the same source
These catalogue entries share this index's scientific source and citation.
Formula
((G + B) - (N + S1)) / ((G + B) + (N + S1))Bands
BBlue.
NNear-Infrared (NIR).
S1Short-wave Infrared (SWIR) 1.