E3S Web Conf.
Volume 165, 20202020 2nd International Conference on Civil Architecture and Energy Science (CAES 2020)
|Number of page(s)||6|
|Section||Geology, Mapping, and Remote Sensing|
|Published online||01 May 2020|
Study on inversion of coal seam temperature in mining area --Pingshuo mining area of Shanxi Province
1 Institute of Disaster Prevention, 065201 SanHe, China
2 Southwest Petroleum University, 610500 ChengDu, China
* Corresponding author: firstname.lastname@example.org
Landsat 8 is widely used in the extraction of surface temperature, but the data of surface temperature and abnormal area in Pingshuo mining area is vacant based on Landsat 8 in recent years, and there is no standard optimal algorithm to follow. In order to explore the possibility of underground coal fire in Pingshuo mining area of Shanxi Province in the future, based on the Landsat 8 satellite data, the temperature inversion method is used to observe the temperature distribution of the mining area, and three commonly used algorithms of temperature inversion processing are used to compare and analyze the SC algorithm as the best data processing method. The artificial threshold method and NDVI threshold method are used to extract the temperature anomaly area and vegetation coverage area, and calculate the area and proportion of coal fire potential area. According to a series of the data and result charts analysis, it shows that: the highest vegetation index of Pingshuo mining area is 0.79, the vegetation coverage is low, and the surface temperature is more than 41.44 ℃, which may lead to the spontaneous combustion of underground coal mines. However, the area prone to underground coal fires is small and controllable. According to the area of potential coal fires in the mining area, the local relevant departments can take relevant measures to prevent coal fire through the distribution map of potential coal fires.
© The Authors, published by EDP Sciences, 2020
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