Self-Adaptive Gradient-Based Thresholding Method for Coal Fire Detection Using ASTER Thermal Infrared Data, Part I: Methodology and Decadal Change Detection

Self-Adaptive Gradient-Based Thresholding Method for Coal Fire Detection Using ASTER Thermal Infrared Data, Part I: Methodology and Decadal Change Detection

Coal fires that are induced by natural spontaneous combustion or result from human activities occurring on the surface and in underground coal seams destroy coal resources and cause serious environmental degradation. Thermal infrared image data, which directly measure surface temperature, can be an...

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Bibliographic Details
Main Authors: Xiaomin Du, Daiyong Cao, Deepak Mishra, Sergio Bernardes, Thomas R. Jordan, Marguerite Madden
Format: Article
Language:English
Published: MDPI AG 2015-05-01
Series:Remote Sensing
Subjects:
spontaneous coal combustion
gradient convolution
mathematical morphology thinning
gradient thresholding method
temperature and emissivity separated (TES) algorithm
long-term monitoring
Online Access:http://www.mdpi.com/2072-4292/7/6/6576

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http://www.mdpi.com/2072-4292/7/6/6576

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