Abstract Details
286 / 2023-10-09 20:22:58
Active–passive Remote Sensing Identification of Underground Coal Fire Zones with Joint Constraints of Temperature and Surface Deformation Time Series
Underground coal fire identification,Time series temperature anomaly extraction,Thermal infrared remote sensing, Surface deformation,Surface deformation,Distributed scatterer InSAR,Collaborative analysis
Draft Pending
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 omission and misclassification ratio and insufficient consideration of the temporal variation in temperature. Therefore, this study proposed a Temporal Temperature Anomaly Extraction algorithm based on Adaptive Windows (TTAE-AW) to extract temporal temperature anomaly information. Moreover, the spatial coverage of deformation monitoring points was improved using Distributed Scatterer Interferometric Synthetic Aperture Radar (DS-InSAR), and then a Double-Threshold Two-stage Filter method (DTTF) was proposed to accurately identify the spatial location of coal fire zones. The Rujigou mining area in Ningxia (China) was chosen as the region of study. Results showed that the temperature anomalies extracted using the TTAE-AW method are more concentrated in coal fire zones and that the amount in different seasons is more stable. The average accuracy and Kappa coefficient were improved by 15.5% and 0.345, respectively, over those of the conventional method. Compared with the Small Baselines Subset InSAR approach, the DS-InSAR technique has 158% higher spatial coverage for monitoring coal fire zones. Compared with in situ observations of coal fire points, the accuracy and Kappa coefficient of the spatial location of fire zones obtained using the DTTF method were 91% and 0.77, respectively, demonstrating that the proposed method can provide reliable technical support for coal fire monitoring and management.
Important Date
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Conference Date
Oct 26
2023
toOct 29
2023
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Oct 15 2023
Abstract Submission Deadline
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Oct 15 2023
Draft paper submission deadline
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Nov 13 2023
Registration deadline
Sponsored By
International Society for Mine Surveying
China Coal Society
China Surveying and Mapping Society
China Coal Society
China Surveying and Mapping Society
Organized By
中国矿业大学
中国煤炭科工集团有限公司
中国煤炭科工集团有限公司
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