Analysis of Spatiotemporal Land Subsidence Patterns of Suzhou City, China, over the Past 15 years Based on Multisource SAR Data-Reference-Cited by-同舟云学术

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Analysis of Spatiotemporal Land Subsidence Patterns of Suzhou City, China, over the Past 15 years Based on Multisource SAR Data

Published:2022-03-24 Issue:7 Volume:50 Page:1347-1369
ISSN:0255-660X
Container-title:Journal of the Indian Society of Remote Sensing
language:en
Short-container-title:J Indian Soc Remote Sens

Author:

Lu Yanyan,Chen Deliang,Chen Yuanyuan

Funder

National Nature Science Foundation of China

China Postdoctoral Science Foundation funded project

Natural Science Research Projects of Jiangsu Higher Education Institutions

Nanjing Audit University Young Lecturers Research and Cultivation Project

Natural Science Foundation of Jiangsu Province

Collaborative Innovation Center of Audit Information Engineering and Technology

Publisher

Springer Science and Business Media LLC

Subject

Earth and Planetary Sciences (miscellaneous),Geography, Planning and Development

Link

https://link.springer.com/content/pdf/10.1007/s12524-022-01508-9.pdf

Reference56 articles.

1. Akcin, H., Kutoglu, H. S., Kemaldere, H., Deguchi, T., & Koksal, E. (2010). Monitoring subsidence effects in the urban area of Zonguldak Hardcoal Basin of Turkey by InSAR-GIS integration. Natural Hazards and Earth System Sciences, 10, 1807–1814. https://doi.org/10.5194/nhess-10-1807-2010

2. Bahaa, M., Timo, B., & Younes, A. (2020). Towards a PS-InSAR based prediction model for building collapse: spatiotemporal patterns of vertical surface motion in collapsed building areas—case study of Alexandria, Egypt. Remote Sensing, 12(20), 3307. https://doi.org/10.3390/rs12203307

3. Bürgmann, R., Rosen, P. A., & Fielding, E. J. (2000). Synthetic aperture radar interferometry to measure earth’s surface topography and its deformation. Annual Review of Earth and Planetary Sciences, 28, 169–209. https://doi.org/10.1146/annurev.earth.28.1.169

4. Bayuaji, L., Sumantyo, J. T. S., & Kuze., H.,. (2010). ALOS PALSAR D-InSAR for land subsidence mapping in Jakarta, Indonesia. Canadian Journal of Remote Sensing, 36, 1–8. https://doi.org/10.5589/m10-023

5. Berardino, P., Fornaro, G., Lanari, R., & Sansosti, E. (2002). A new algorithm for surface deformation monitoring based on small baseline differential SAR interferograms. IEEE Transactions on Geoscience and Remote Sensing, 40(11), 2375–2383. https://doi.org/10.1109/TGRS.2002.803792

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