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Canopy near-infrared reflectance and terrestrial photosynthesis

Global estimates of terrestrial gross primary production (GPP) remain highly uncertain, despite decades of satellite measurements and intensive in situ monitoring. We report a new approach for quantifying the near-infrared reflectance of terrestrial vegetation (NIR(V)). NIR(V) provides a foundation...

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Detalles Bibliográficos
Autores principales: Badgley, Grayson, Field, Christopher B., Berry, Joseph A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for the Advancement of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5362170/
https://www.ncbi.nlm.nih.gov/pubmed/28345046
http://dx.doi.org/10.1126/sciadv.1602244
Descripción
Sumario:Global estimates of terrestrial gross primary production (GPP) remain highly uncertain, despite decades of satellite measurements and intensive in situ monitoring. We report a new approach for quantifying the near-infrared reflectance of terrestrial vegetation (NIR(V)). NIR(V) provides a foundation for a new approach to estimate GPP that consistently untangles the confounding effects of background brightness, leaf area, and the distribution of photosynthetic capacity with depth in canopies using existing moderate spatial and spectral resolution satellite sensors. NIR(V) is strongly correlated with solar-induced chlorophyll fluorescence, a direct index of photons intercepted by chlorophyll, and with site-level and globally gridded estimates of GPP. NIR(V) makes it possible to use existing and future reflectance data as a starting point for accurately estimating GPP.