Application of multiple constraints model-data assimilation techniques to coupling satellite passive...
Application of multiple constraints model-data assimilation techniques to coupling satellite passive microwave and thermal imagery for estimation of land surface variables and energy fluxes [electronic resource] / Luigi J. Renzullo ... [et al.].
About this item
Full title
Publisher
[Canberra] : CSIRO Land and Water, 2006.
Date
2006.
Record Identifier
MMS ID
Language
English
Formats
Physical Description
Physical content
iv, 32 p.
Publication information
Publisher
[Canberra] : CSIRO Land and Water, 2006.
Series
Place of Publication
Australian Capital Territory
Date Published
2006.
Subjects
More information
Scope and Contents
Summary
This report demonstrates the application of a multiple constraints model-data assimilation (MCMDA) scheme to the combination of AMSR-E soil moisture content (SMC) and MODIS land surface temperature (LST) in a coupled biophysical model for the tropical savannas of northern Australia, and discusses the difficulties and error sources encountered. The...
Alternative Titles
Full title
Application of multiple constraints model-data assimilation techniques to coupling satellite passive microwave and thermal imagery for estimation of land surface variables and energy fluxes [electronic resource] / Luigi J. Renzullo ... [et al.].
Authors, Artists and Contributors
Author / Artists
Notes
General note
CSIRO Land and Water science report, 1883-4563 ; 73/06.
Title from title caption of PDF file (viewed 17/08/2011)
"September 2006".
Includes bibliographical references (p. 24-28)
System details note
Mode of access: Internet via World Wide Web. Address as at 17/08/2011: http://www.clw.csiro.au/publications/science/index.html.
System requirements: Internet connectivity, World Wide Web browser, and Adobe Acrobat reader.
Contextual Information
Other version (online)
Identifiers
Primary Identifiers
Record Identifier
74VvK45yOojO
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/74VvK45yOojO
Other Identifiers
DDC
621.3678
MMS ID
991007938989702626
