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

T. Quaife*, M. De Kauwe, P. Lewis, M. Williams

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

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Abstract

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.

Original languageEnglish
Title of host publication2007 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2007
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages5072-5075
Number of pages4
ISBN (Print)1424412129, 9781424412129
DOIs
Publication statusPublished - 2007
Externally publishedYes
Event2007 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2007 - Barcelona, Spain
Duration: 23 Jun 200728 Jun 2007

Other

Other2007 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2007
Country/TerritorySpain
CityBarcelona
Period23/06/0728/06/07

Bibliographical note

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 [email protected]. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.

Keywords

  • Data assimilation
  • Ensemble kalman filter
  • GORT
  • MODIS
  • NEP

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