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Photosynthetic light use efficiency from satellite sensors : from global to Mediterranean vegetation

Colaborador(es): Garbulsky, Martín Fabio | Filella, Iolanda | Verger, A | Peñuelas, Josep.
ISSN: 0098-8472.Tipo de material: Artículos y capítulos. Recurso electrónico.Tema(s): ABIOTIC STRESSES | CARBON SEQUESTRATION | CARBON UPTAKE | ENVIRONMENTAL MONITORING | FLUORESCENCE | HOTOSYNTHESIS | LEAF PIGMENTS | LIGHT USE EFFICIENCY | MEDITERRANEAN REGION | PHOTOSYNTHESIS | PIGMENT | PRI | PRIMARY PRODUCTION | REMOTE SENSING | SATELLITE DATA | SATELLITE IMAGERY | TERRESTRIAL ENVIRONMENT | VEGETATION STRUCTURE | VEGETATION TYPE | Recursos en línea: Haga clic para acceso en línea | LINK AL EDITOR. En: Environmental and Experimental Botany vol.103 (2014), p.3-11Resumen: Recent advances in remote-sensing techniques for light use efficiency [LUE] are providing new possibilities for monitoring carbon uptake by terrestrial vegetation [gross primary production, GPP], in particular for Mediterranean vegetation types. This article reviews the state of the art of two of the most promising approaches for remotely estimating LUE: the use of the photochemical reflectance index [PRI] and the exploitation of the passive chlorophyll fluorescence signal. The theoretical and technical issues that remain before these methods can be implemented for the operational global production of LUE from forthcoming hyperspectral satellite data are identified for future research.
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Recent advances in remote-sensing techniques for light use efficiency [LUE] are providing new possibilities for monitoring carbon uptake by terrestrial vegetation [gross primary production, GPP], in particular for Mediterranean vegetation types. This article reviews the state of the art of two of the most promising approaches for remotely estimating LUE: the use of the photochemical reflectance index [PRI] and the exploitation of the passive chlorophyll fluorescence signal. The theoretical and technical issues that remain before these methods can be implemented for the operational global production of LUE from forthcoming hyperspectral satellite data are identified for future research.

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