DocumentCode :
1895455
Title :
Kekesayi glacier velocity extraction based on the offsets derived from SAR images
Author :
Yan, Shiyong ; Guo, Huadong ; Fu, Wenxue ; Liu, Guang ; Ruan, Zhixing
Author_Institution :
Key Lab. of Digital Earth, Center for Earth Obs. & Digital Earth, Beijing, China
fYear :
2011
fDate :
24-29 July 2011
Firstpage :
3179
Lastpage :
3182
Abstract :
The velocity of glacier is the most important parameter in the study of glaciers and remote sensing is a powerful tool to calculate their surface velocities. Due to persistent cloud cover in this region, it is impossible to acquire enough optical images to provide measurements. However, measurement of the offsets between two SAR images is an effective way to determine surface velocity. In order to do this, offsets both in slant range and azimuth directions are derived from two SAR images. The movement of the glacier during the SAR data acquisition time is calculated after the global part of offsets has been removed by the polynomial fit method. The offsets used for removing the global part are selected on the basis of the Single-to-Noise ratio (SNR) and correlation in area without glaciers but with large topographic changes. The surface velocity of the whole glacier using SAR data will make a significant contribution to the study of glacier dynamics. The Kekesayi glacier can be divided into four parts, based on the velocity map. The results show that the surface velocity of the Kekesayi glacier is different on the different part of the glacier, and offset measurements are an effective method for the study of glaciers.
Keywords :
glaciology; remote sensing by radar; synthetic aperture radar; Kekesayi glacier velocity; SAR data acquisition time; SAR images; glacier dynamics; polynomial fit method; remote sensing; single-to-noise ratio; surface velocities; velocity map; Accuracy; Azimuth; Coherence; Correlation; Surface fitting; Surface topography; Velocity measurement; Kekesayi glacier; cross-correlation; offset tracking; surface velocity;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International
Conference_Location :
Vancouver, BC
ISSN :
2153-6996
Print_ISBN :
978-1-4577-1003-2
Type :
conf
DOI :
10.1109/IGARSS.2011.6049894
Filename :
6049894
Link To Document :
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