Detection and monitoring of mining-induced subsidence with Gaofen-3 and Sentinel-1A SAR datasets-Reference-Cited by-同舟云学术

Detection and monitoring of mining-induced subsidence with Gaofen-3 and Sentinel-1A SAR datasets

Published:2024-04-27 Issue:5 Volume:15 Page:537-547
ISSN:2150-704X
Container-title:Remote Sensing Letters
language:en
Short-container-title:Remote Sensing Letters

Author:

Zhang Yuning¹,Zhao Chaoying¹²³^ORCID,Chen Hengyi¹,Feng Xiaosong¹,Lu Zhe⁴,Khan Basit Ali¹

Affiliation:

1. School of Geological Engineering and Geomatics, Chang’an University, Xi’an, China

2. Key Laboratory of Western China’s Mineral Resources and Geological Engineering, Ministry of Education, Xi’an, China

3. Key Laboratory of Ecological Geology and Disaster Prevention, Ministry of Natural Resources, Xi’an, China

4. Department of Civil-Military Integration and Achievement Promotion, Shaanxi Provincial Military and Civilian Integration Information Center, Xi’an, China

Funder

National Key Research and Development Program of China

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/2150704X.2024.2346182

Reference22 articles.

1. SAR Backscatter and InSAR Coherence for Monitoring Wetland Extent, Flood Pulse and Vegetation: A Study of the Amazon Lowland

2. Sub-pixel precision image matching for measuring surface displacements on mass movements using normalized cross-correlation

3. Mapping small elevation changes over large areas: Differential radar interferometry

4. High-resolution remote sensing image-based extensive deformation-induced landslide displacement field monitoring method

5. Integration of Sentinel-1 and ALOS/PALSAR-2 SAR datasets for mapping active landslides along the Jinsha River corridor, China

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1. InSAR-derived surface deformation characteristics and mining subsidence parameters in mountain coal mines;Journal of Mountain Science;2024-09