Paper Info
Title
Using Multisensor SAR Datasets to Monitor Land Subsidence in Los Angeles from 2003 to 2017.
Abstract
Los Angeles has undergone tremendous deformations over the past few decades, mainly due to human factors such as natural disasters and earthquakes, urban construction, overexploitation of groundwater, and oil extraction. The purpose of this study is to map the temporal and spatial variations of land subsidence in Los Angeles and to use the improved SBAS (small baseline subset) technique and multisensor SAR datasets to analyze the causes of deformations in this area from October 2003 to October 2017. At the same time, the deformation results of SBAS inversion are compared with the GPS measurements and the multisensor SAR dataset deformation, and the results are highly consistent. During the period from 2003 to 2017, there were several subsidence regions and one uplift region in Los Angeles. The cumulative subsidence was -266.8mm at the maximum, and the average annual subsidence velocity was -19mm/yr, which was mainly caused by groundwater overexploitation. The maximum amount of accumulated lift is +104.8mm, and the average annual lifting velocity can reach +7.5mm/yr. Our results have very strong practical application value and can provide a significant basis for local government services in disaster prevention and mitigation decision-making.
Year
DOI
Venue
2019
10.1155/2019/9389820
JOURNAL OF SENSORS
Field
DocType
Volume
Seismology,Computer vision,Overexploitation,Inversion (meteorology),Groundwater,Subsidence,GNSS augmentation,Artificial intelligence,Global Positioning System,Engineering
Journal
2019
ISSN
Citations 
PageRank 
1687-725X
0
0.34
References 
Authors
4
3
Name
Order
Citations
PageRank
Bo Hu146349.36
Xiongle Chen201.01
Xingfu Zhang311.98