Mining-Related Subsidence Measurements Using a Robust Multitemporal InSAR Method and Logistic Model

Author:

Ma Peifeng1ORCID,Yu Chang2ORCID,Wu Zherong3,Wang Zhanze2,Chen Jiehong4ORCID

Affiliation:

1. Department of Geography and Resource Management, Institute of Space and Earth Information Science, The Chinese University of Hong Kong, Hong Kong, China

2. Institute of Space and Earth Information Science, The Chinese University of Hong Kong, Hong Kong, China

3. School of Integrative Plant Science, Soil and Crop Sciences Section, Cornell University, Ithaca, NY, USA

4. Key Laboratory of Poyang Lake Wetland and Watershed Research, Ministry of Education, the School of Geography and Environment, and the Key Laboratory of Natural Disaster Monitoring, Early Warning and Assessment of Jiangxi Province, Jiangxi Normal University, Nanchang, China

Funder

National Natural Science Foundation of China

Hong Kong Research Grants Council through General Research Fund

Areas of Excellence Scheme

CUHK Direct Grant for Research

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

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