DocumentCode :
3353337
Title :
Analyzing the “Ear” feature of a dried up lake based on volume scattering modelling
Author :
Gao, Zhihong ; Shao, Yun ; Gong, Huaze ; Wan, Zi
Author_Institution :
Inst. of Remote Sensing Applic., Chinese Acad. of Sci., Beijing, China
fYear :
2010
fDate :
25-30 July 2010
Firstpage :
4454
Lastpage :
4457
Abstract :
This paper presents the volume scattering mechanism of subsurface and analyzes the fundamental cause of “Ear” feature of Lop Nur on SAR images. ALOS PALSAR image acquired in 2007 was collected, and the Cloude decomposition method was conducted on the calibrated image to extract the volume scattering component. Two field investigations were conducted in 2006 and 2008 respectively, and lots of precise soil samples were gathered for the parameters analysis. Validation of the model is also conducted based on the surveying parameter and the image processing results, and the fitting effect is relatively good. According to the analysis on the parameters of the model, it is found that salinity at subsurface is the fundamental reason to “Ear” feature, which is strongly correlated with Lop Nur evolution.
Keywords :
geomorphology; geophysical image processing; geophysical techniques; lakes; AD 2006; AD 2007; AD 2008; ALOS PALSAR image; China; Cloude decomposition method; Ear feature; Lop Nur lake; SAR images; dried up lake; image processing; soil samples; volume scattering component; volume scattering modeling; Analytical models; Backscatter; Ear; Remote sensing; Scattering; Soil; Solid modeling; Lop Nur “Ear” feature; SAR; polarimetric decomposition; volume scattering modelling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
Conference_Location :
Honolulu, HI
ISSN :
2153-6996
Print_ISBN :
978-1-4244-9565-8
Electronic_ISBN :
2153-6996
Type :
conf
DOI :
10.1109/IGARSS.2010.5652668
Filename :
5652668
Link To Document :
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