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The use of remote sensing in light use efficiency based models of gross primary production: a review of current status and future requirements

The use of remote sensing in light use efficiency based models of gross primary production: a review of current status and future requirements
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.
0048-9697
411-423
Hilker, Thomas
c7fb75b8-320d-49df-84ba-96c9ee523d40
Coops, Nicholas C.
5511e778-fec2-4f54-8708-de65ba5a0992
Wulder, Michael A.
13414360-db3d-4d88-a76d-ccffd69d0084
Black, T. Andrew
f6187e30-d043-4094-b5ef-372c60de403b
Guy, Robert D.
6f37c491-d7ca-4b61-a7af-cc4473ce2b7d
Hilker, Thomas
c7fb75b8-320d-49df-84ba-96c9ee523d40
Coops, Nicholas C.
5511e778-fec2-4f54-8708-de65ba5a0992
Wulder, Michael A.
13414360-db3d-4d88-a76d-ccffd69d0084
Black, T. Andrew
f6187e30-d043-4094-b5ef-372c60de403b
Guy, Robert D.
6f37c491-d7ca-4b61-a7af-cc4473ce2b7d

Hilker, Thomas, Coops, Nicholas C., Wulder, Michael A., Black, T. Andrew and Guy, Robert D. (2008) The use of remote sensing in light use efficiency based models of gross primary production: a review of current status and future requirements. [in special issue: Biogeochemistry of Forested Ecosystem - Selected papers from BIOGEOMON, the 5th International Symposium on Ecosystem Behaviour,] Science of the Total Environment, 404 (2-3), 411-423. (doi:10.1016/j.scitotenv.2007.11.007). (PMID:18063011)

Record type: Article

Abstract

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.

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Published date: 15 October 2008
Organisations: Earth Surface Dynamics

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Local EPrints ID: 384710
URI: http://eprints.soton.ac.uk/id/eprint/384710
ISSN: 0048-9697
PURE UUID: 7a403cf2-fae0-4f5d-bc66-3a7dbaf24a7a

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Date deposited: 18 Apr 2016 14:25
Last modified: 14 Mar 2024 22:03

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Contributors

Author: Thomas Hilker
Author: Nicholas C. Coops
Author: Michael A. Wulder
Author: T. Andrew Black
Author: Robert D. Guy

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