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Remote Sens. 2017, 9(4), 380; doi:10.3390/rs9040380

InSAR Time-Series Analysis of Land Subsidence under Different Land Use Types in the Eastern Beijing Plain, China

1
College of Resources Environment and Tourism, Capital Normal University, 105 North Road of the Western 3rd Ringroad, Haidian District, Beijing 100048, China
2
Department of Geosciences, University of Massachusetts, 627 North Pleasant Street, Amherst, MA 01002, USA
3
Department of Geography, Yuying School, 11 West Street of Wanshou Road, Haidian District, Beijing 100036, China
*
Author to whom correspondence should be addressed.
Academic Editors: Richard Sliuzas, Zhong Lu and Prasad S. Thenkabail
Received: 5 January 2017 / Revised: 16 April 2017 / Accepted: 17 April 2017 / Published: 19 April 2017
(This article belongs to the Special Issue Earth Observation in Planning for Sustainable Urban Development)
View Full-Text   |   Download PDF [6155 KB, uploaded 19 April 2017]   |  

Abstract

In the Beijing plain, the long-term groundwater overexploitation, exploitation, and the utilization of superficial urban space have led to land subsidence. In this study, the spatial–temporal analysis of land subsidence in Beijing was assessed by using the small baseline subset (SBAS) interferometric synthetic aperture radar (InSAR) technique based on 47 TerraSAR-X SAR images from 2010 to 2015. Distinct variations of the land subsidence were found in the study regions. The maximum annual land subsidence rate was 146 mm/year from 2011 to 2015. The comparison between the SBAS InSAR results and the ground leveling measurements showed that the InSAR land subsidence results achieved a precision of 2 mm. In 2013, the maximum displacement reached 132 and 138 mm/year in the Laiguangying and DongbalizhuangDajiaoting area. Our analysis showed that the serious land subsidence mainly occurred in the following land use types: water area and wetland, paddy field, upland soils, vegetable land, and peasant-inhabited land. Our results could provide a useful reference for groundwater exploitation and urban planning. View Full-Text
Keywords: InSAR; land subsidence; small baseline subset interferometry; land use; correspondence analysis InSAR; land subsidence; small baseline subset interferometry; land use; correspondence analysis
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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

Zhou, C.; Gong, H.; Chen, B.; Li, J.; Gao, M.; Zhu, F.; Chen, W.; Liang, Y. InSAR Time-Series Analysis of Land Subsidence under Different Land Use Types in the Eastern Beijing Plain, China. Remote Sens. 2017, 9, 380.

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