ASTER‐derived emissivity and coal‐fire related surface temperature anomaly: a case study in Wuda, north China

Subsurface and surface coal fires form serious environmental, economic and safety problems in coal‐producing countries like China and India. Remote sensing offers the possibility of detecting and studying thermal anomalies due to coal fires. Emissivity plays an important role in determining the surface temperature of a body using remotely sensed data. In the present study an attempt is made to use satellite‐derived emissivity to estimate the surface temperature in Wuda, north China. With the use of multispectral thermal Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) data (five bands in 8.125–11.65 µm region) in combination with a Temperature/Emissivity Separation (TES) algorithm, the anomalous pixels due to coal fires can be extracted from the background to achieve a qualitative study of coal fires. In the present study, during night‐time overpass of ASTER, satellite images have been recorded and simultaneous field measurements were collected. These field measurements were used to process the satellite thermal data and to validate the results obtained. Using the TES approach, satellite‐based temperature corresponded well with actual field measurements at selected locations.

[1]  X. Zhang,et al.  Spatial analysis of thermal anomalies from airborne multi-spectral data , 2003 .

[2]  Tsuneo Matsunaga,et al.  A Temperature-Emissivity Separation Method Using an Empirical Relationship between the Mean, the Maximum, and the Minimum of the Thermal Infrared Emissivity Spectrum , 1994 .

[3]  Claudia Künzer,et al.  Integrating satellite remote sensing techniques for detection and analysis of uncontrolled coal seam fires in North China , 2004 .

[4]  W. Wagner,et al.  Detecting coal fires using remote sensing techniques , 2004 .

[5]  A. Rosema,et al.  Simulation of spontaneous combustion, to study the causes of coal fires in the Rujigou Basin , 2001 .

[6]  C. Ellyett,et al.  Thermal infrared imagery of The Burning Mountain coal fire , 1974 .

[7]  J. L. van Genderen,et al.  Multi-sensor data fusion for the detection of underground coal fires , 1998 .

[8]  P. S. Kealy,et al.  A comparison of techniques for extracting emissivity information from thermal infrared data for geologic studies , 1992 .

[9]  S. K. Srivastav,et al.  Application of thematic mapper short wavelength infrared data for the detection and monitoring of high temperature related geoenvironmental features , 1993 .

[10]  The synergistic use of remotely sensed data for the detection of underground coal fires , 1996 .

[11]  J. L. van Genderen,et al.  A method to evaluate the capability of Landsat-5 TM band 6 data for sub-pixel coal fire detection , 1997 .

[12]  S. Kroonenberg,et al.  Dating of coal fires in Xinjiang, north‐west China , 2004 .

[13]  Zoltán Vekerdy,et al.  Design and implementation of a dedicated prototype GIS for coal fire investigations in North China , 2004 .

[14]  Guanghu Liu.  Permo-Carboniferous paleogeography and coal accumulation and their tectonic control in the North and South China continental plates , 1990 .

[15]  Arun K. Saraf,et al.  A Landsat TM based comparative study of surface and subsurface fires in the Jharia coalfield, India , 1997 .

[16]  G M Megson,et al.  Comparison of Techniques , 1999 .

[17]  Longyi Shao,et al.  Distribution, isotopic variation and origin of sulfur in coals in the Wuda coalfield, Inner Mongolia, China , 2002 .

[18]  A. Gillespie,et al.  Lithologic mapping of silicate rocks using TIMS , 1986 .

[19]  P. S. Kealy,et al.  Separating temperature and emissivity in thermal infrared multispectral scanner data: implications for recovering land surface temperatures , 1993, IEEE Trans. Geosci. Remote. Sens..

[20]  Gordon W. Greene,et al.  Aerial Infrared Surveys and Borehole Temperature Measurements of Coal Mine Fires in Pennsylvania , 1969 .