Temperature anomaly information extraction in coalfield fire area based on ETM+ data

doi:10.6046/gtzyyg.2017.02.29

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Abstract

The initiative finding of coal fire and timely governing of coal fire so as to quickly and accurately extract temperature anomaly information are of great importance. In this study, with the coal fire area of Daquanhu in the suburbs of Urumqi of Xinjiang as the study area and ETM+ remote sensing data as the base, the authors used generalized single-channel method to retrieve land surface temperature of coalfield fire area, and then used manual threshold method and density slicing method to extract background area and temperature anomaly. Finally, temperature anomaly area image was superimposed upon the magnetic prospecting resultant map to perform analysis. The results show that the retrieved RMSE of Generalized Single-Channel Method is 0.68℃, the overlap rate between temperature anomaly area and definitized fire area range is 82.71%, and the accuracy rate of temperature anomaly area retrieval is 80.17%. This method can preliminarily delineate the coal fire range and also provides a reference for precisely measuring the coal fire range.

Keywords Lingdingyang Estuary mangrove wetlands shoreline change remote sensing dynamic monitoring

Issue Date: 03 May 2017

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	ZHAO Yuling

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ZHAO Yuling. Temperature anomaly information extraction in coalfield fire area based on ETM+ data[J]. REMOTE SENSING FOR LAND & RESOURCES, 2017, 29(2): 201-206.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2017.02.29 OR https://www.gtzyyg.com/EN/Y2017/V29/I2/201

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