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Summary of Proposal LAN0820

TitleMonitoring subsidence associated with 2010 largedrought in the country's southwestusing TerraSAR
Investigator Feng, Guangcai - Central South University, Department of Geomatics, School of Geosciences and Info-Physics
Team Member
professor Zhu, Jianjun - Central South University, School of Info-Physics Engineering
doctor Dai, Wujiao - Central South University, School of Info-Physics Engineering
doctor Zhang, Lei - The Hong Kong Polytechnic University, Department of Land Surveying and Geo-informatics
SummaryIn the southwest of China, there was a long time of drought in 2009 and 2010, which a senior official said has left 48 million people short of drinking water.Long time of drought caused large subsidence in big cities of southwest of China, the largest subsidence of over 20 cm. The environment disaster is not only that, but that lots of “tiankeng” follow when the raining season is coming. According to incomplete statistics, there are 78 new “tiankeng” occurred in GuangXi and SichuanProvinces after drought in the southwest of China, which caused thousand of people homeless. Even worse is that more and more countries and cities are being rapidly subsidence and become “tiankeng”, and have not effective approach to monitor these subsidences and reduce a loss and death. The subsidence caused by “tiankeng” has the following features: (1) the subsidence is very quick and large; (2) the subsidence area is small, 5-10km2. In this project, we propose to apply TerraSAR-X repeat pass differential interferometry to study surface deformation associated with “tiankeng” and drought in southwest of China. Toward these goals we have selected three sites where the PI has experience with GPS and ALOS/PALSAR to study subsidence. These include Laibing, Guangxi province, China [1], Changsha, Hunan Province, China [2], Guangzhou, Guangdong province, China [3]. To achieve these objectives we will compute SAR interferograms for data in stripmap modes. When significant signal is present we will use these deformation maps to alarm the people living behind the “tiankeng” and monitor the railway and highway around. The dataset also will use to monitor the new “tiankeng” occurred. [1] [2] [3]

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