Accuracy verification and evaluation of small baseline subset (SBAS) interferometric synthetic aperture radar (InSAR) for monitoring mining subsidence-Reference-Cited by-同舟云学术

Accuracy verification and evaluation of small baseline subset (SBAS) interferometric synthetic aperture radar (InSAR) for monitoring mining subsidence

Published:2021-01-01 Issue:1 Volume:54 Page:642-663
ISSN:2279-7254
Container-title:European Journal of Remote Sensing
language:en
Short-container-title:European Journal of Remote Sensing

Author:

Tao Qiuxiang¹,Wang Fengyun¹,Guo Zaijie¹,Hu Leyin²,Yang Chen¹,Liu Tongwen³

Affiliation:

1. College of Geomatics, Shandong University of Science and Technology, Qingdao, China

2. Center for Earthquake Monitoring and Researching, Beijing Earthquake Agency, Beijing, China

3. Center for Research and Development, Shandong Institute of Geological Surveying and Mapping, Jinan, China

Funder

National Natural Science Foundation of China

the Shandong Natural Science Foundation

Natural Science Foundation of Shandong Province

Publisher

Informa UK Limited

Subject

Applied Mathematics,Atmospheric Science,Computers in Earth Sciences,General Environmental Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/22797254.2021.2002197

Reference24 articles.

1. InSAR time-series analysis of land subsidence in Bangkok, Thailand

2. A new algorithm for surface deformation monitoring based on small baseline differential SAR interferograms

3. Caro, C. (2012). Improving radar interferometry for monitoring fault-related surface deformation: Applications for the rover valley graben and coal mine induced displacements in the southern Netherlands. PhD. Dissertation. University of Portsmouth, Portsmouth, United Kingdom.

4. A quantitative assessment of the SBAS algorithm performance for surface deformation retrieval from DInSAR data

5. Stability and output feedback control for singular Markovian jump delayed systems

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