摘要
新疆作为全球煤田火灾最为严重的区域之一,不仅每年消耗约442万t煤炭资源,而且导致火区地表裂缝、地表塌陷等地质灾害频发,同时燃烧后持续向空气中释放大量有害气体,严重危及居民健康。因此,精准监测火区范围对研究煤火自燃规律、治理煤田火区具有重要意义。目前用于煤火探测的方法中,利用火区物理特性进行探测成本高、效率低,仅适用于小范围火区探测;利用热红外遥感手段虽然能提取到温度异常区,但仍需要进行大量的实地勘探工作。为此,提出了一种面向新疆广域煤田火区精细探测的热红外遥感(Thermal Infrared Remote Sensing,TIRS)与TCP-InSAR(Temporarily Coherent Point Interferometric Synthetic Aperture Radar)融合的方法。该方法利用单窗算法对Landsat-8影像进行地表温度反演,提取研究区域地表温度异常信息,在此基础上,结合TCP-InSAR从Sentinel-1A影像获取研究区域地表沉降信息,并对二者进行空间叠加分析,获取煤火区域的分布特征。研究表明:热红外遥感手段联合雷达干涉测量技术探测大范围煤田火区的方法具有较高的可靠性和准确性,为新疆广域煤田火区高精度探测提供了新的技术方法。
As one of the most serious coalfields with fire disaster in the world,Xinjiang not only consumes about 4.42 million tons of coal resources per year,but also causes frequent occurrence of geological disasters in the fire area,such as ground cracks and surface subsidence.At the same time,a large amount of harmful gases that seriously endanger the health of residents after combustion continue to be released into the air.Therefore,accurate monitoring of the fire area has important study significance for studying the spontaneous combustion law of coal fire and controlling the fire area of coal field.Among the current coal fire detection methods,the method based on the physical characteristics for coal fire detection is quite high cost and low efficiency,so it is only suitable for small-scale fire detection;moreover,although the method based on thermal infrared remote sensing can extract the temperature anomaly zone,a large amount of field exploration work is still needed.So,a method with combination of thermal infrared remote sensing(TIRS)and temporarily coherent point interferometric synthetic aperture radar(TCP-InSAR)for detecting the fire area of Xinjiang wide area coal field is proposed.The surface temperature inversion was carried out from Landsat-8 image by the single window algorithm to extract the information of surface temperature anormaly.Based on this,the surface settlement was obtained from Sentinel-1 A image by TCP-InSAR.The spatial superposition analysis is performed on the two results to obtain the distribution of coal fire areas.The study results show that the method of thermal infrared remote sensing combined with radar interferometry to detect large-scale coalfield fire zone has high reliability and accuracy,and provides new technical method for high-precision detection of Xinjiang wide area coalfield fire zone.
作者
许怡
范洪冬
党立波
Xu Yi;Fan Hongdong;Dang Libo(School of Environment Science and Spatial Informatics,China University of Mining and Technology,Xuzhou 221116, China;Key Laboratory of Land Environment and Disaster Monitoring,Ministry of Natural Resources of the People's Republic of China,Xuzhou 221116,China;Xinjiang Coal field Fire-fighting Engineering Bureau,Urumqi 830063,China)
出处
《金属矿山》
CAS
北大核心
2019年第10期164-171,共8页
Metal Mine
基金
国家自然科学基金项目(编号:41604005,51774270,41874044)
关键词
煤火探测
热红外遥感
TCP-InSAR
温度反演
地表变形
Coal fire detection
Thermal infrared remote sensing
TCP-InSAR
Temperature inversion
Surface deformation
