Detecting the Underground Coal Fire by Using Landsat Thermal Infrared Imagery-Taking Wuda Coalfield as an Example

doi:10.13474/j.cnki.11-2246.2018.0083

Abstract

Abstract:

In this paper,we use the threshold analysis technique to extract coal fire area of 2002,2007 and 2013 in Wuda coalfield on the basis of Landsat thermal infrared dataset.The results show that the coal fire area in 2007 is nearly doubled of that in 2002 due to extensive coal extraction,however,the coal fire in 2013 is effectively limited because of the extinguishing activities since 2010.Comparisons with the in-situ data manifest the error estimated by remote sensing is about 5%~10%,and solar radiation in the day leads lower inversion accuracy than the night,which causing higher virtual screening rate.Landsat imageries have important application potential in coal fire dynamic monitoring with its advantage of high spatial resolution,short revisiting cycle and large coverage.

Key words: Landsat, Wuda coal fire, thermal infrared remote sensing, land surface temperature

CLC Number:

P237

ZHANG Zhimin, JIANG Liming, LIU Lin, WANG Hansheng. Detecting the Underground Coal Fire by Using Landsat Thermal Infrared Imagery-Taking Wuda Coalfield as an Example[J]. 测绘通报, 2018, 0(3): 93-97.

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