TY - GEN
T1 - Integrating satellite retrieved leaf chlorophyll into land surface models for constraining simulations of water and carbon fluxes
AU - Houborg, Rasmus
AU - Cescatti, Alessandro
AU - Gitelson, Anatoly
N1 - Copyright:
Copyright 2014 Elsevier B.V., All rights reserved.
PY - 2013
Y1 - 2013
N2 - 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.
AB - 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.
KW - CLM
KW - GPP
KW - Landsat
KW - leaf chlorophyll
UR - http://www.scopus.com/inward/record.url?scp=84894235322&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84894235322&partnerID=8YFLogxK
U2 - 10.1109/IGARSS.2013.6723234
DO - 10.1109/IGARSS.2013.6723234
M3 - Conference contribution
AN - SCOPUS:84894235322
SN - 9781479911141
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 2129
EP - 2132
BT - 2013 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013 - Proceedings
T2 - 2013 33rd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013
Y2 - 21 July 2013 through 26 July 2013
ER -