S2Short-wave Infrared (SWIR) 2.
NBRSWIRNormalized Burn Ratio SWIR
BurnMultispectralCitation Rank #233
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 Normalized Burn Ratio SWIR (NBRSWIR) is a burn spectral index intended for multispectral sensing. It was introduced in 2020; its source is cited as Sicong Liu, Yongjie Zheng, Michele Dalponte, & Xiaohua Tong (2020). A novel fire index-based burned area change detection approach using Landsat-8 OLI data. European Journal of Remote Sensing, 53(1). https://doi.org/10.1080/22797254.2020.1738900 .
Based on the latest citation data, this index is in the 25.88th percentile overall, ranking 233 out of 313 indices with citation data. Among the 73 indices published within two years of 2020, it ranks 39 (47.95th percentile). Within the burn application domain, it is in the 23.53th percentile and ranks 14 out of 17 indices with citation data. Among the 3 similarly aged burn indices, it ranks 3 (33.33th percentile).
Formula
(S2 - S1 - 0.02)/(S2 + S1 + 0.1)Bands
S1Short-wave Infrared (SWIR) 1.