摘要详情
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
全文待审
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.
重要日期
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会议日期
10月26日
2023
至10月29日
2023
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10月15日 2023
摘要截稿日期
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10月15日 2023
初稿截稿日期
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11月13日 2023
注册截止日期
主办单位
国际矿山测量协会
中国煤炭学会
中国测绘学会
中国煤炭学会
中国测绘学会
承办单位
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
