DocumentCode
3596043
Title
Assimilation of satellite-derived land cover into a process-based terrestrial biosphere model
Author
Beer, Christian ; Skinner, Laine ; Lucht, Wolfgang ; Schmullius, Christiane
Author_Institution
Inst. of Geogr., Friedrich-Schiller-Univ., Jena, Germany
Volume
5
fYear
2003
fDate
6/25/1905 12:00:00 AM
Firstpage
3181
Abstract
Besides so-called light use efficiency models (which, very generally, account for effects of temperature and water stress upon plant productivity), satellite-derived information may be applied to adjust Dynamic Global Vegetation Models (DGVMs). This paper attempts to assimilate satellite-derived land cover (GLC2000) into a state-of-the-art DGVM (LPJ-DGVM) and examine the impact on estimated carbon stocks. The offset between land cover information and potential fractional vegetation cover is calculated by the model and then used to adjust plant productivity. Increasing the information content of current satellite-derived land cover products would lead to more reliable estimates of parameters of the terrestrial component of the global carbon cycle.
Keywords
geographic information systems; geophysical signal processing; vegetation mapping; carbon stocks; dynamic global vegetation models; global carbon cycle; plant productivity; potential fractional vegetation; process-based terrestrial biosphere model; satellite-derived information; satellite-derived land cover assimilation; terrestrial component; water stress; Atmospheric modeling; Biosphere; Ecosystems; Geography; Land surface temperature; Predictive models; Productivity; State estimation; Stress; Vegetation mapping;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 2003. IGARSS '03. Proceedings. 2003 IEEE International
Print_ISBN
0-7803-7929-2
Type
conf
DOI
10.1109/IGARSS.2003.1294722
Filename
1294722
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