The use of remote sensing in light use efficiency based models of gross primary production: a review of current status and future requirements.
Global estimation and monitoring of plant photosynthesis (known as Gross Primary Production--GPP) is a critical component of climate change research. Modeling of carbon cycling requires parameterization of the land surface, which, in a spatially continuous mode, is only possible using remote sensing. The increasing availability of high spectral resolution satellite observations with global coverage and high temporal frequency has allowed the scientific community to revisit a number of existing approaches for modeling GPP, and reassess the potential for using remotely sensed inputs. In this paper we examine the current status and future requirements of modeling global GPP thereby focusing on the light use efficiency approach which expresses GPP as product of the photosynthetically active radiation (PAR), the fraction of PAR being absorbed by the plant canopy (f(PAR)) and the efficiency epsilon with which this absorbed PAR can be converted into biomass. The capacity of remote sensing to provide the critical input variables for this approach is reviewed and key issues are identified and discussed for future research.
Faculty of Forest Resources Management, University of British Columbia, 2424 Main Mall, Vancouver, BC, Canada. thilker@interchange.ubc.ca
Thomas
T
Hilker
Nicholas C
NC
Coops
Michael A
MA
Wulder
T Andrew
TA
Black
Robert D
RD
Guy
D002980:Climate; D017753:Ecosystem; D004782:Environmental Health / Q000379:methods* / Q000639:trends; D004784:Environmental Monitoring / Q000379:methods*; D040362:Geographic Information Systems; D014943:Global Health; D008954:Models, Biological; D010788:Photosynthesis; D063245:Plant Development; D010944:Plants / Q000378:metabolism; D017215:Satellite Communications