Soil Moisture Retrieval Under Vegetation Using Dual Polarized PALSAR Data

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Title:Main Title: Soil Moisture Retrieval Under Vegetation Using Dual Polarized PALSAR Data
Description:Abstract: Disturbing effects caused by vegetation and surface roughness are major impediments to accurate quantitative retrievals of soil moisture from SAR. In this study we use PALSAR FBD images to investigate the potential of dual polarized L-band data to derive information on biomass and surface roughness. In correlation analyses between radar observables and in-situ measurements high sensitivities towards surface roughness and crop biomass could be ascertained. Based on these findings, we estimate surface roughness ks and vegetation biomass. The good quality of the estimates allows correcting the backscattering coefficients for the surface roughness and vegetation effects. The results give a promising outlook in terms of the possibility to develop an operational soil moisture retrieval model for PALSAR data collected in the FBD mode.
Identifier:10.1109/IGARSS.2011.6049378 (DOI)
Responsible Party
Creators:Christian N. Koyama (Author), Karl Schneider (Author)
Publisher:-
Publication Year:2013
Topic
TR32 Topic:Remote Sensing
Related Subproject:C3
Subjects:Keywords: PALSAR, SAR, Radar/L-Band, Soil Moisture
File Details
Filename:2011_Koyama_IEEE.pdf
Data Type:Text - Event Paper
Size:3 Pages
File Size:452 KB
Date:Issued: 24.07.2011
Mime Type:application/pdf
Language:English
Status:Completed
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Download Permission:Only Project Members
General Access and Use Conditions:For internal use only
Access Limitations:For internal use only
Licence:[TR32DB] Data policy agreement
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Specific Information - Publication
Publication Status:Published
Review Status:Peer reviewed
Publication Type:Event Paper
Number of Pages:4 (1059 - 1062)
Event:IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
Event Type:Conference
Event Location:Vancouver, Canada
Event Duration:24th of July, 2011 - 29th of July, 2011
Metadata Details
Metadata Creator:Christian N. Koyama
Metadata Created:09.12.2013
Metadata Last Updated:09.12.2013
Subproject:C3
Funding Phase:2
Metadata Language:English
Metadata Version:V50
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