A unified vegetation index for quantifying the terrestrial biosphere

Gustau Camps-Valls, Manuel Campos-Taberner, Álvaro Moreno-Martínez, Sophia Walther, Grégory Duveiller, Alessandro Cescatti, Miguel D. Mahecha, Jordi Muñoz-Marí, Francisco Javier García-Haro, Luis Guanter, Martin Jung, John A. Gamon, Markus Reichstein, Steven W. Running

Research output: Contribution to journalArticlepeer-review

198 Scopus citations


Empirical vegetation indices derived from spectral reflectance data are widely used in remote sensing of the biosphere, as they represent robust proxies for canopy structure, leaf pigment content, and, subsequently, plant photosynthetic potential. Here, we generalize the broad family of commonly used vegetation indices by exploiting all higher-order relations between the spectral channels involved. This results in a higher sensitivity to vegetation biophysical and physiological parameters. The presented nonlinear generalization of the celebrated normalized difference vegetation index (NDVI) consistently improves accuracy in monitoring key parameters, such as leaf area index, gross primary productivity, and sun-induced chlorophyll fluorescence. Results suggest that the statistical approach maximally exploits the spectral information and addresses long-standing problems in satellite Earth Observation of the terrestrial biosphere. The nonlinear NDVI will allow more accurate measures of terrestrial carbon source/sink dynamics and potentials for stabilizing atmospheric CO2 and mitigating global climate change.

Original languageEnglish
Article numbereabc7447
JournalScience advances
Issue number9
StatePublished - Feb 24 2021


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