Using Multisensor SAR Datasets to Monitor Land Subsidence in Los Angeles from 2003 to 2017
Joint Authors
Hu, Bo
Zhang, Xingfu
Chen, Xiongle
Source
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-02-27
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
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 -266.8 mm at the maximum, and the average annual subsidence velocity was -19 mm/yr, which was mainly caused by groundwater overexploitation.
The maximum amount of accumulated lift is +104.8 mm, and the average annual lifting velocity can reach +7.5 mm/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.
American Psychological Association (APA)
Hu, Bo& Chen, Xiongle& Zhang, Xingfu. 2019. Using Multisensor SAR Datasets to Monitor Land Subsidence in Los Angeles from 2003 to 2017. Journal of Sensors،Vol. 2019, no. 2019, pp.1-15.
https://search.emarefa.net/detail/BIM-1191850
Modern Language Association (MLA)
Hu, Bo…[et al.]. Using Multisensor SAR Datasets to Monitor Land Subsidence in Los Angeles from 2003 to 2017. Journal of Sensors No. 2019 (2019), pp.1-15.
https://search.emarefa.net/detail/BIM-1191850
American Medical Association (AMA)
Hu, Bo& Chen, Xiongle& Zhang, Xingfu. Using Multisensor SAR Datasets to Monitor Land Subsidence in Los Angeles from 2003 to 2017. Journal of Sensors. 2019. Vol. 2019, no. 2019, pp.1-15.
https://search.emarefa.net/detail/BIM-1191850
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1191850