NNear-Infrared (NIR).
kEVIKernel Enhanced Vegetation Index
VegetationMultispectralCitation Rank #71
Skip to content No radar polarizations are used in this index. No contextual reductions are used in this index.
Summary
The Kernel Enhanced Vegetation Index (kEVI) is a vegetation spectral index intended for multispectral sensing. It was introduced in 2021; its source is cited as Gustau Camps-Valls, Manuel Campos-Taberner, Ălvaro Moreno-MartĂnez, Sophia Walther, GrĂ©gory Duveiller, Alessandro Cescatti, Miguel D. Mahecha, Jordi Muñoz-MarĂ, Francisco Javier GarcĂa-Haro, Luis Guanter, Martin Jung, John A. Gamon, Markus Reichstein, & Steven W. Running (2021). A unified vegetation index for quantifying the terrestrial biosphere. Science Advances, 7(9). https://doi.org/10.1126/sciadv.abc7447 .
Based on the latest citation data, this index is in the 77.64th percentile overall, ranking 71 out of 313 indices with citation data. Among the 57 indices published within two years of 2021, it ranks 1 (100th percentile). Within the vegetation application domain, it is in the 70.14th percentile and ranks 64 out of 211 indices with citation data. Among the 33 similarly aged vegetation indices, it ranks 1 (100th percentile).
Other indices from the same source
These catalogue entries share this index's scientific source and citation.
Formula
g * (kernel(N, N) - kernel(N, R)) / (kernel(N, N) + C1 * kernel(N, R) - C2 * kernel(N, B) + kernel(N, L))Index familyKernel
Bands
RRed.
BBlue.
Polarizations
Constants
C1Coefficient 1 for the aerosol resistance term.
Default value6
C2Coefficient 2 for the aerosol resistance term.
Default value7.5
LCanopy background adjustment.
Default value1
gGain factor.
Default value2.5