An Interferometric-Synthetic-Aperture-Radar-Based Method for Predicting Long-Term Land Subsidence in Goafs through the Concatenation of Multiple Sources of Short-Term Monitoring Data
The land subsidence occurring over a goaf area after coal mining is a protracted process. The accurate prediction of long-term land subsidence over goaf areas relies heavily on the availability of long-term land subsidence monitoring data. However, the scarcity of continuous long-term land subsidenc...
Main Authors: | Jinyang Li, Mingdong Zang, Nengxiong Xu, Gang Mei, Sen Yang |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-08-01
|
Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/15/17/4203 |
Similar Items
-
A Numerical Simulation of the Subsidence Reduction Effect of Different Grouting Schemes in Multi-Coal Seam Goafs
by: Hai Wang, et al.
Published: (2023-04-01) -
Influence of Goaf on Stability of Transmission Line Tower Foundation
by: Zhang Siyuan, et al.
Published: (2022-01-01) -
Land subsidence analysis using synthetic aperture radar data
by: Rida Bokhari, et al.
Published: (2023-03-01) -
Research on monitoring and stability evaluation of ground subsidence in gypsum mine goaf
by: Zaicheng Xu, et al.
Published: (2023-01-01) -
Mining Subsidence Prediction by Combining Support Vector Machine Regression and Interferometric Synthetic Aperture Radar Data
by: Lichun Sui, et al.
Published: (2020-06-01)