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Assimilating MODIS reflectance data into an ecosystem model to improve estimates of terrestrial carbon flux : recent progress

Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.14/117892

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Title: Assimilating MODIS reflectance data into an ecosystem model to improve estimates of terrestrial carbon flux : recent progress
Related: International Geoscience and Remote Sensing Symposium (23 - 28 June 2007 : Barcelona)
Related: 2007 IEEE International Geoscience and Remote Sensing Symposium : 23-27 July, 2007, Barcelona, Spain, p.5072-5075
DOI: 10.1109/IGARSS.2007.4424002
Publisher: Piscataway, N.J : IEEE
Date: 2008
FoR/RFCD Code(s): 040600 Physical Geography and Environmental Geoscience 090900 Geomatic Engineering
Author/Creator: Quaife, T
Author/Creator: De Kauwe, M
Author/Creator: Lewis, P
Author/Creator: Williams, M
Description: This paper details recent progress in the assimilation of top of canopy reflectance data into an ecosystem model to constrain estimates of net carbon flux. Previous work has demonstrated the feasibility of such an approach but its application at wide spatial scales remains relatively un explored. Two aspects of this are examined in this paper: the requirement to provide spatialised reflectance model parameters and the restating of an ecosystem model to optimise it for assimilating EO data.
Description: 4 page(s)
Subject Keyword: 040600 Physical Geography and Environmental Geoscience
Subject Keyword: 090900 Geomatic Engineering
Subject Keyword: data assimilation
Subject Keyword: ensemble kalman filter
Subject Keyword: GORT
Subject Keyword: MODIS
Subject Keyword: NEP
Resource Type: conference paper
Organisation: Macquarie University. Dept. of Biological Sciences

Identifier: http://hdl.handle.net/1959.14/117892
Identifier: ISBN:9781424412112
Identifier: mq-rm-2010001750
Language: eng
Rights: Copyright 2007 IEEE. Reprinted from 2007 IEEE International Geoscience and Remote Sensing Symposium : 23-27 July, 2007, Barcelona, Spain. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Macquarie University’s products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.
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