Use of Landsat thermal imagery for dynamically monitoring spontaneous combustion of Datong Jurassic coalfields in China

Journal of earth system science

Jun Li^2¹  Yongan Xue^1²  Changsheng Shang^2³  Jin Liu^2⁴ 

[1] Anhui Engineering Laboratory of Agro-Ecological Big Data, Anhui University, Hefei 230 601, China.^3;College of Mining Engineering, Taiyuan University of Technology, Taiyuan 030 024, China.^1;Department of Geology and Surveying and Mapping, Shanxi Energy Institute, Taiyuan 030 600, China.^4;Geological Environmental Center of Shanxi Province, Taiyuan 030 024, China.^2

关键词: Remote sensing;    Datong Jurassic coalfield;    Landsat TM;    spontaneous combustion;    land surface temperature;   

DOI  :  

学科分类：天文学(综合)

来源: Indian Academy of Sciences

【 摘 要 】

It is highly helpful and necessary to investigate and monitor the status of coal seam. Fortunately, remote sensing has facilitated the identification and dynamical monitoring of spontaneous combustion for a large area coal mining area, especially using the time series remotely-sensed datasets. In this paper, DatongJurassic coal mining area is used as the study area, China, and an exclusion method and a multiplefactor analysis method are jointly used to identify the spontaneous combustion, including land surface temperature (LST), burnt rocks, and land use and land cover change (LUCC). The LST is firstly retrievedusing a single-window algorithm due to a thermal infrared band of Landsat-5 TM (Thematic Mapper). Burnt rocks is then extracted using a decision-tree classification method based on a high-resolution SPOT-5 image. The thermal anomaly areas are identified and refined by the spatial overlay analysis ofthe above affecting factors. Three-period maps of coal fire areas are obtained and dynamically analyzed in 2007, 2009 and 2010. The results show that a total of 12 coal fire areas have been identified, which account for more than 1% of the total area of the study area. In general, there is an increasing trend yearly and a total of 771,970m² is increased. The average annual increase is 257,320m², the average annual growth rate is 3.78%, and the dynamic degree is 11.29%.

【 授权许可】

CC BY