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sNIRvNDPISWIR-enhanced Near-Infrared Reflectance of Vegetation for NDPI

VegetationMultispectralCitation Rank #299

Summary

The SWIR-enhanced Near-Infrared Reflectance of Vegetation for NDPI (sNIRvNDPI) is a vegetation spectral index intended for multispectral sensing. It was introduced in 2024; its source is cited as Sadegh Ranjbar, Danielle Losos, Benjamin Dechant, Sophie Hoffman, Eyyup Ensar Başakın, & Paul C. Stoy (2024). Harnessing Information From Shortwave Infrared Reflectance Bands to Enhance Satellite‐Based Estimates of Gross Primary Productivity. Journal of Geophysical Research: Biogeosciences, 129(11). https://doi.org/10.1029/2024jg008240 .

Based on the latest citation data, this index is in the 6.07th percentile overall, ranking 299 out of 313 indices with citation data. Among the 30 indices published within two years of 2024, it ranks 18 (56.67th percentile). Within the vegetation application domain, it is in the 6.16th percentile and ranks 203 out of 211 indices with citation data. Among the 20 similarly aged vegetation indices, it ranks 12 (65th percentile).

Other indices from the same source

These catalogue entries share this index's scientific source and citation.

Formula

(N - (alpha * R + (1.0 - alpha) * S2))/(N + (alpha * R + (1.0 - alpha) * S2)) * N

Bands

N

Near-Infrared (NIR).

R

Red.

S2

Short-wave Infrared (SWIR) 2.

Polarizations

No radar polarizations are used in this index.

Constants

alpha

Parameter to mitigate soil and snow effects. Taken from NDPI.

Default value0.74

Reductions

No contextual reductions are used in this index.

Released under the MIT License.