3 November 2010 Derivation of glacier velocity from SAR data with feature tracking
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Proceedings Volume 7841, Sixth International Symposium on Digital Earth: Data Processing and Applications; 78410P (2010) https://doi.org/10.1117/12.873220
Event: The Sixth International Symposium on Digital Earth, 2009, Beijing, China
Abstract
Mountain glaciers are especially sensitive to climate variations. Monitoring temperate glacier activity has become more and more necessary for economical and security reasons and as an indicator of the local effects of global climate. Glacier flow velocity plays an important role in climate monitoring and casualty forecasting, however, available velocity data is hitherto not abundant. The most studied variable in ice dynamics in the literature is ice velocity. From remotely sensed images, mainly two types of methods have been used for the estimation of glacier flow velocities: feature tracking and differential interferometric synthetic aperture radar (DInSAR). In this paper velocities of the Keqikaer glacier are acquired from ALOS (Advanced Land Observing Satellite) SAR data with feature tracking. The results show that different window size in correlation calculation of feature tracking leads to different flow field. We developed a new method to determine the best window size, and the method is testified by using SAR data.
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Lei Huang, Zhen Li, "Derivation of glacier velocity from SAR data with feature tracking", Proc. SPIE 7841, Sixth International Symposium on Digital Earth: Data Processing and Applications, 78410P (3 November 2010); doi: 10.1117/12.873220; https://doi.org/10.1117/12.873220
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