Multi-sensor InSAR time series fusion for long-term land subsidence monitoring-Reference-Cited by-同舟云学术

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Multi-sensor InSAR time series fusion for long-term land subsidence monitoring

Published:2023-05-17 Issue: Volume: Page:1-17
ISSN:1009-5020
Container-title:Geo-spatial Information Science
language:en
Short-container-title:Geo-spatial Information Science

Author:

Jiang Haonan¹²^ORCID,Balz Timo¹^ORCID,Cigna Francesca³^ORCID,Tapete Deodato⁴^ORCID,Li Jianan⁵^ORCID,Han Yakun⁶^ORCID

Affiliation:

1. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS), Wuhan University, Wuhan, China

2. Helmholtz Centre Potsdam, GFZ German Research Centre for Geosciences, Potsdam, Germany

3. Institute of Atmospheric Sciences and Climate (ISAC), National Research Council (CNR), Roma, Italy

4. Italian Space Agency (ASI), Roma, Italy

5. Institute for Remote Sensing Science and Application, School of Geomatics, Liaoning Technical University, Fuxin, China

6. College of Earth Science, Chengdu University of Technology, Chengdu, China

Funder

National Natural Science Foundation of China

China Scholarship Council

Publisher

Informa UK Limited

Subject

Computers in Earth Sciences,Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/10095020.2023.2178337

Reference53 articles.

1. Land subsidence of Jakarta (Indonesia) and its relation with urban development

2. Land subsidence: A global challenge

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

4. Investigating land subsidence and its causes along Beijing high-speed railway using multi-platform InSAR and a maximum entropy model

5. Time-Varying Surface Deformation Retrieval and Prediction in Closed Mines through Integration of SBAS InSAR Measurements and LSTM Algorithm

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4. Land subsidence susceptibility mapping in urban settlements using time-series PS-InSAR and random forest model;Gondwana Research;2024-01

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