期刊
JOURNAL OF MOUNTAIN SCIENCE
卷 15, 期 12, 页码 2703-2720出版社
SCIENCE PRESS
DOI: 10.1007/s11629-018-4997-z
关键词
Underground coal fires; Spatio-temporal changes; Khanh Hoa coal field (Viet Nam); Landsat time-series data
资金
- Ministry-level Scientific and Technological Key Programs of Ministry of Natural Resources and Environment of Viet Nam Application of thermal infrared remote sensing and GIS for mapping underground coal fires in Quang Ninh coal basin [TNMT.2017.08.06]
Underground coal fires are one of the most common and serious geohazards in most coal producing countries in the world. Monitoring their spatio-temporal changes plays an important role in controlling and preventing the effects of coal fires, and their environmental impact. In this study, the spatio-temporal changes of underground coal fires in Khanh Hoa coal field (North-East of Viet Nam) were analyzed using Landsat time-series data during the 2008-2016 period. Based on land surface temperatures retrieved from Landsat thermal data, underground coal fires related to thermal anomalies were identified using the MEDIAN+1.5xIQR (IQR: Interquartile range) threshold technique. The locations of underground coal fires were validated using a coal fire map produced by the field survey data and cross-validated using the daytime ASTER thermal infrared imagery. Based on the fires extracted from seven Landsat thermal imageries, the spatiotemporal changes of underground coal fire areas were analyzed. The results showed that the thermalanomalous zones have been correlated with known coal fires. Cross-validation of coal fires using ASTER TIR data showed a high consistency of 79.3%. The largest coal fire area of 184.6 hectares was detected in 2010, followed by 2014 (181.1 hectares) and 2016 (178.5 hectares). The smaller coal fire areas were extracted with areas of 133.6 and 152.5 hectares in 2011 and 2009 respectively. Underground coal fires were mainly detected in the northern and southern part, and tend to spread to north-west of the coal field.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据