DocumentCode :
3059632
Title :
Integrating satellite retrieved leaf chlorophyll into land surface models for constraining simulations of water and carbon fluxes
Author :
Houborg, Rasmus ; Cescatti, Alessandro ; Gitelson, Anatoly
Author_Institution :
King Abdullah Univ. of Sci. & Technol. (KAUST), Thuwal, Saudi Arabia
fYear :
2013
fDate :
21-26 July 2013
Firstpage :
2129
Lastpage :
2132
Abstract :
In terrestrial biosphere models, key biochemical controls on carbon uptake by vegetation canopies are typically assigned fixed literature-based values for broad categories of vegetation types although in reality significant spatial and temporal variability exists. Satellite remote sensing can support modeling efforts by offering distributed information on important land surface characteristics, which would be very difficult to obtain otherwise. This study investigates the utility of satellite based retrievals of leaf chlorophyll for estimating leaf photosynthetic capacity and for constraining model simulations of water and carbon fluxes.
Keywords :
carbon; geochemistry; photosynthesis; remote sensing; soil; vegetation mapping; carbon flux; constraining model simulations; distributed information; fixed literature-based values; key biochemical controls; land surface characteristics; land surface models; leaf chlorophyll satellite based retrievals; leaf photosynthetic capacity estimation; satellite remote sensing; satellite retrieved leaf chlorophyll integration; spatial temporal; spatial variability; terrestrial biosphere models; vegetation canopy carbon uptake; vegetation type broad categories; water flux; Atmospheric modeling; Biological system modeling; Carbon; Earth; Mathematical model; Remote sensing; Satellites; CLM; GPP; Landsat; leaf chlorophyll;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
Conference_Location :
Melbourne, VIC
ISSN :
2153-6996
Print_ISBN :
978-1-4799-1114-1
Type :
conf
DOI :
10.1109/IGARSS.2013.6723234
Filename :
6723234
Link To Document :
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