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NBSIMSNon-Binary Snow Index for Multi-Component Surfaces

SnowMultispectralCitation Rank #293

Summary

The Non-Binary Snow Index for Multi-Component Surfaces (NBSIMS) is a snow spectral index intended for multispectral sensing. It was introduced in 2021; its source is cited as Mario Arreola-Esquivel, Carina Toxqui-Quitl, Maricela Delgadillo-Herrera, Alfonso Padilla-Vivanco, Gabriel Ortega-Mendoza, & Anna Carbone (2021). Non-Binary Snow Index for Multi-Component Surfaces. Remote Sensing, 13(14). https://doi.org/10.3390/rs13142777 .

Based on the latest citation data, this index is in the 6.71th percentile overall, ranking 293 out of 313 indices with citation data. Among the 57 indices published within two years of 2021, it ranks 56 (3.51th percentile). Within the snow application domain, it is in the 20th percentile and ranks 9 out of 10 indices with citation data. Among the 4 similarly aged snow indices, it ranks 3 (50th percentile).

Formula

0.36 * (G + R + N) - (((B + S2)/G) + S1)

Bands

G

Green.

R

Red.

N

Near-Infrared (NIR).

B

Blue.

S2

Short-wave Infrared (SWIR) 2.

S1

Short-wave Infrared (SWIR) 1.

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.