remote sensing Article Understanding Land Subsidence Along the Coastal Areas of Guangdong, China, by Analyzing Multi-Track MTInSAR Data Yanan Du 1 , Guangcai Feng 2, Lin Liu 1,3,* , Haiqiang Fu 2, Xing Peng 4 and Debao Wen 1 1 School of Geographical Sciences, Center of GeoInformatics for Public Security, Guangzhou University, Guangzhou 510006, China;
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[email protected] (H.F.) 3 Department of Geography, University of Cincinnati, Cincinnati, OH 45221-0131, USA 4 School of Geography and Information Engineering, China University of Geosciences (Wuhan), Wuhan 430074, China;
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[email protected]; Tel.: +86-020-39366890 Received: 6 December 2019; Accepted: 12 January 2020; Published: 16 January 2020 Abstract: Coastal areas are usually densely populated, economically developed, ecologically dense, and subject to a phenomenon that is becoming increasingly serious, land subsidence. Land subsidence can accelerate the increase in relative sea level, lead to a series of potential hazards, and threaten the stability of the ecological environment and human lives. In this paper, we adopted two commonly used multi-temporal interferometric synthetic aperture radar (MTInSAR) techniques, Small baseline subset (SBAS) and Temporarily coherent point (TCP) InSAR, to monitor the land subsidence along the entire coastline of Guangdong Province. The long-wavelength L-band ALOS/PALSAR-1 dataset collected from 2007 to 2011 is used to generate the average deformation velocity and deformation time series. Linear subsidence rates over 150 mm/yr are observed in the Chaoshan Plain.