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  Integration of L-band SAR data into land surface models

Loew, A., Hoekman, D., Hajnsek, I., & Davison, M. (2007). Integration of L-band SAR data into land surface models. In IGARSS: 2007 IEEE International Geoscience and Remote Sensing Symposium: Sensing and understanding our planet (pp. 3698-3701).

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0014-7C1D-A Version Permalink: https://hdl.handle.net/11858/00-001M-0000-0014-7C21-B
Genre: Conference Paper

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 Creators:
Loew, Alexander1, Author           
Hoekman, Dirk1, Author
Hajnsek, Irena1, Author
Davison, Malcolm1, Author
Affiliations:
1external, ou_persistent22              

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 Abstract: Land surface process modelling might be limited due to lack of reliable model input data. Key surface variables as land cover information or soil moisture conditions have been proven to be observable by remote sensing systems. The integration of remote sensing data into land surface process models might therefore help to improve their simulations results. Longer wavelength SAR data has a higher sensitivity to soil moisture content than higher frequency systems. Recent (ALOS) and planed (e.g. TerraSAR-L) SAR systems are therefore expected to provide valuable information about soil moisture dynamics. The present study investigates the potential to retrieve land cover information and geophysical parameters from L-band SAR data. The retrieval results are assimilated into a state-of-the-art land surface model to evaluate the merit of L-band SAR data assimilation.

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Language(s): eng - English
 Dates: 2007
 Publication Status: Issued
 Pages: -
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 Rev. Type: -
 Identifiers: ISI: 000256657305038
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Title: IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
Place of Event: Barcelona, SPAIN
Start-/End Date: 2007-07-23 - 2007-07-27

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Title: IGARSS: 2007 IEEE International Geoscience and Remote Sensing Symposium: Sensing and understanding our planet
Source Genre: Proceedings
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Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 3698 - 3701 Identifier: ISBN: 978-1-4244-1211-2

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Title: IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)
Source Genre: Series
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Pages: - Volume / Issue: - Sequence Number: - Start / End Page: - Identifier: -