Title
Distributed Scatterer InSAR Reveals Surface Motion of the Ancient Chaoshan Residence Cluster in the Lianjiang Plain, China.
Abstract
The Lianjiang Plain in China and ancient villages distributed within the plain are under the potential threat of surface motion change, but no effective monitoring strategy currently exists. Distributed Scatterer InSAR (DSInSAR) provides a new high-resolution method for the precise detection of surface motion change. In contrast to the first-generation of time-series InSAR methodology, the distributed scatterer-based method focuses both on pointwise targets with high phase stability and distributed targets with moderate coherence, the latter of which is more suitable for the comprehensive environment of the Lianjiang Plain. In this paper, we present the first study of surface motion change detection in the Lianjiang Plain, China. Two data stacks, including 54 and 29 images from Sentinel-1A adjacent orbits, are used to retrieve time-series surface motion changes for the Lianjiang Plain from 2015 to 2018. The consistency of measurement has been cross-validated between adjacent orbit results with a statistically significant determination coefficient of 0.92. The temporal evolution of representative measuring points indicates three subzones with varied surface patterns: Eastern Puning (Zone A) in a slight elastic rebound phase with a moderate deformation rate (0-40 mm/year), Chaonan (Zone B) in a substantial subsidence phase with a strong deformation rate (-140-0 mm/year), and Chaoyang (Zone C) in a homogeneous and stable situation (-10-10 mm/year). The spatial distribution of these zones suggests a combined change dynamic and a strong concordance of factors impacting surface motion change. Human activities, especially groundwater exploitation, dominate the subsidence pattern, and natural conditions act as a supplementary inducement by providing a hazard-prone environment. The qualitative and quantitative analysis of spatial and temporal details in this study provides a basis for systematic surface motion monitoring, cultural heritage protection and groundwater resources management.
Year
DOI
Venue
2019
10.3390/rs11020166
REMOTE SENSING
Keywords
Field
DocType
surface motion change,the Lianjiang Plain,DSInSAR,spatial/temporal pattern,Sentinel-1A
Interferometric synthetic aperture radar,China,Remote sensing,Geology,Residence
Journal
Volume
Issue
ISSN
11
2
2072-4292
Citations 
PageRank 
References 
0
0.34
0
Authors
5
Name
Order
Citations
PageRank
Yuzhou Liu1178.52
Peifeng Ma220.80
Hui Lin345964.06
Weixi Wang400.34
Guoqiang Shi500.34