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NDISINormalized Difference Ice-Snow Index

SnowHyperspectralCitation Rank #294

Summary

The Normalized Difference Ice-Snow Index (NDISI) is a snow spectral index intended for hyperspectral sensing. It was introduced in 2022; its source is cited as Wenzheng Ji, Xiaohua Hao, Donghang Shao, Qian Yang, Jian Wang, Hongyi Li, & Guanghui Huang (2022). A New Index for Snow/Ice/Ice‐Snow Discrimination Based on BRDF Characteristic Observation Data. Journal of Geophysical Research: Atmospheres, 127(3). https://doi.org/10.1029/2021jd035742 .

Based on the latest citation data, this index is in the 6.71th percentile overall, ranking 294 out of 313 indices with citation data. Among the 50 indices published within two years of 2022, it ranks 42 (20th percentile). Within the snow application domain, it is in the 20th percentile and ranks 10 out of 10 indices with citation data. Among the 3 similarly aged snow indices, it ranks 3 (66.67th percentile).

Formula

(R1080_1120 - R1760_1800)/(R1080_1120 + R1760_1800)

Bands

R1080_1120

Reflectance at one selected wavelength from 1080 to 1120 nm, inclusive.

R1760_1800

Reflectance at one selected wavelength from 1760 to 1800 nm, inclusive.

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.