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Remote Sens. 2016, 8(7), 611; doi:10.3390/rs8070611

Deriving Ice Motion Patterns in Mountainous Regions by Integrating the Intensity-Based Pixel-Tracking and Phase-Based D-InSAR and MAI Approaches: A Case Study of the Chongce Glacier

1
Jiangsu Key Laboratory of Resources and Environmental Engineering, School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China
2
Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China
3
Polish Geological Institute—National Research Institute, Carpathian Branch, Cracow 31560, Poland
*
Author to whom correspondence should be addressed.
Academic Editors: Cheinway Hwang, Wenbin Shen, C.K. Shum, Stéphane Calmant, Magaly Koch and Prasad S. Thenkabail
Received: 26 April 2016 / Revised: 13 July 2016 / Accepted: 15 July 2016 / Published: 22 July 2016
(This article belongs to the Special Issue Remote Sensing in Tibet and Siberia)
View Full-Text   |   Download PDF [6942 KB, uploaded 22 July 2016]   |  

Abstract

As a sensitive indicator of climate change, mountain glacier dynamics are of great concern, but the ice motion pattern of an entire glacier surface cannot be accurately and efficiently generated by the use of only phase-based or intensity-based methods with synthetic aperture radar (SAR) imagery. To derive the ice movement of the whole glacier surface with a high accuracy, an integrated approach combining differential interferometric SAR (D-InSAR), multi-aperture interferometry (MAI), and a pixel-tracking (PT) method is proposed, which could fully exploit the phase and intensity information recorded by the SAR sensor. The Chongce Glacier surface flow field is estimated with the proposed integrated approach. Compared with the traditional SAR-based methods, the proposed approach can determine the ice motion over a widely varying range of ice velocities with a relatively high accuracy. Its capability is proved by the detailed ice displacement pattern with the average accuracy of 0.2 m covering the entire Chongce Glacier surface, which shows a maximum ice movement of 4.9 m over 46 days. Furthermore, it is shown that the ice is in a quiescent state in the downstream part of the glacier. Therefore, the integrated approach presented in this paper could present us with a novel way to comprehensively and accurately understand glacier dynamics by overcoming the incoherence phenomenon, and has great potential for glaciology study. View Full-Text
Keywords: D-InSAR; multiple-aperture interferometry; pixel tracking; integrated strategy; ice motion field; entire glacier surface D-InSAR; multiple-aperture interferometry; pixel tracking; integrated strategy; ice motion field; entire glacier surface
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Yan, S.; Ruan, Z.; Liu, G.; Deng, K.; Lv, M.; Perski, Z. Deriving Ice Motion Patterns in Mountainous Regions by Integrating the Intensity-Based Pixel-Tracking and Phase-Based D-InSAR and MAI Approaches: A Case Study of the Chongce Glacier. Remote Sens. 2016, 8, 611.

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