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