Active–Passive Remote Sensing Identification of Underground Coal Fire Zones With Joint Constraints of Temperature and Surface Deformation Time Series

Active–Passive Remote Sensing Identification of Underground Coal Fire Zones With Joint Constraints of Temperature and Surface Deformation Time Series

Coal fire is a geological disaster that causes resource waste and environmental pollution globally. Accurate identification of the spatial location of coal fires is critical for effective coal fire governance. However, existing methods for identifying coal fire zones have problems, such as a high om...

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Bibliographic Details
Main Authors: Yu Chen, Zhihui Suo, Jie Li, Jun Wei, Fei Cao, Huahai Sun, Huaizhan Li, Yandong Gao, Qian Li, Yinglong Yue, Kaimin Xu
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Collaborative analysis
distributed scatterer interferometric synthetic aperture radar (DS-InSAR)
surface deformation
thermal infrared (TIR) remote sensing
time-series temperature anomaly extraction (TAE)
underground coal fire identification
Online Access:https://ieeexplore.ieee.org/document/10330562/

Internet

https://ieeexplore.ieee.org/document/10330562/

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