| Spontaneous combustion of coal seam is one of the main hazards of coal resources, it hugely destroyed underground coal seams, leading to those resources unable to exploitation and coal resources devaluation which around the spontaneous combustion coal seams, it has produced a bad influence to the ecological environment, causing harmful material in the air far exceeded its normal level. On a global scale, there are many coalfields suffered from spontaneous combustion of coal seam problems. Because of the special geographic position and suitable climatic conditions, making the coalfields in Northwest China become the world's most serious coalfield disasters affected by spontaneous combustion.China's large area of coalfield fires mainly distributed in Xinjiang Uigur Autonomous Region, Inner Mongolia Autonomous Region and Ningxia Hui Autonomous Region, and other areas, it caused great loss and destruction to China's coal resources and to the ecological environment, monitoring and controlling coal fires have become issues requiring urgent solution. Therefore,under the the full study and master of the geological features in coalfield region, this paper choosing the representative region of Gulaben in Inner Mongolia to carry out focused research, with remote sensing technology and new technologies of coalfield fire spontaneous combustion, new methods as guiding ideology, in combining with the regional geological structural characteristics, applying hyperspectral remote sensing imagery, TM remote sensing images and other remote sensing imageries, focus on the controlling of regional tectonic to the coal fires, preprocessing of hyperspectral image, thermal infrared and burning rock information extraction, mastering the research methods of hyperspectral remote sensing in the coalfield areas of spontaneous combustion, to achieve the purpose of effective monitoring the coal fires.Through the comprehensive study of regional geological and remote sensing information in Gulaben Coal Mining Area Fire District, Inner Mongolia, the major progress achieved by the following:1. Using hyperspectral night image to precisely positioning the fire area, from the macro scale accurately delineated the fire area, the area of abnormal temperature, high temperature anomaly area.2. Using the night Airborne Hyperspectral scanning image calculating the infrared radiation temperature from the surface features. Research shows that the temperature anomalies of those regions higher than 70℃can be used as high-temperature zone. Image is not only the size of radiation temperature and the actual level of radiation temperature, but also the thermal anomaly area.3. According to the hyperspectral remote sensing image information contained in different bands, the correlation between bands and the brightness spectrum curves heterogeneity of the various parts of ground objects in the image to choosing the best bands, in order to achieve the effective classification of various ground objects on the remote sensing data, cover the deficiencies of band selection, achieving better results.4. Analyzing the coal seam distribution and coalfield spontaneous combustion characteristics of Gulaben area from the perspective of regional geological for the first time, considering the regional geological characters play a decisive role in the controlling of coalfield spontaneous combustion.5. Conducting a variety of preprocessing methods to hyperspectral remote sensing data, making a significant improvement in image quality, providing a good source of information to the follow-up information extraction.6. Carrying out the information extracting to the extensive distribution burned rock in the research area.7. Analyzing and transacting the coal fires anomaly information using thermal infrared remote sensing images, screening out important geothermal anomaly informations.
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