Abstract

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.

Highlights

  • IntroductionA large coal province, the coal resource ranks the second in China. The coal mine fire is a worldwide natural disaster, which will cause huge loss of coal resources in China, and cause irreparable damage to the ecological environment of the mining area

  • Shanxi, a large coal province, the coal resource ranks the second in China

  • 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 °C, which may lead to the spontaneous combustion of underground coal mines

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Summary

Introduction

A large coal province, the coal resource ranks the second in China. The coal mine fire is a worldwide natural disaster, which will cause huge loss of coal resources in China, and cause irreparable damage to the ecological environment of the mining area. Landsat 8 remote sensing image data is used for research, and coal fires are monitored by the method of surface temperature inversion[6], so as to realize the division and extraction of the abnormal area of surface temperature in Pingshuo mining area of Ningwu coal field, and provide the basis for the prevention and safety management of coal fires in Pingshuo mining area. It provides some basis for the study of coal fire potential area in Shanxi Province and the further study in Pingshuo mining area in the future

Data preprocessing and research area
Data preprocessing
Thermal anomaly monitoring of underground coal seam in the study area
RTE algorithm-Radiative transfer equation method
IB algorithm - Based on image algorithm
SC algorithm-Universal single channel algorithm
Vegetation coverage calculation
Results checking computations
Vegetation coverage
Extraction of coal fire potential area
Calculation of potential area and its proportion
Conclusion
Full Text
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