A simple method based on the thermal anomaly index to detect industrial heat sources

doi:10.1016/j.jag.2018.08.003

	A simple method based on the thermal anomaly index to detect industrial heat sources
	Xia, Haiping 1; Chen, Yunhao 1,2; Quan, Jinling 3
刊名	INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
	2018-12-01
卷号	73 页码:627-637
关键词	Industrial heat sources Thermal anomaly index ASTER
ISSN号	0303-2434
DOI	10.1016/j.jag.2018.08.003
通讯作者	Chen, Yunhao(cyh@bnu.edu.cn)
英文摘要	Because waste gas from industrial burning has a significant effect on urban environment, it is important to detect industrial heat sources from remote sensing data. Given existing pyrometry, it is difficult to identify small factories with low burning temperatures. In addition, existing fire detection methods (such as the contextual algorithm) are cumbersome, complex, and contain multiple thresholds to be determined. With the purpose of detecting industrial heat sources efficiently and simply, we introduced a simple method based on the thermal anomaly index (TAI) to detect industrial heat sources. This index was constructed based on Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) thermal infrared (TIR) data with a detectable temperature of 400 K, which is lower than that used in most high-temperature detection methods. By confirming with the Visible Infrared Imaging Radiometer Suite (VIIRS) Nightfire product and high-resolution images, the TAI confidently detected almost all hot spots with the VIIRS Nightfire product and detected many hot spots that were undetected by the VIIRS Nightfire product. Based on six images acquired over Tangshan, we determined that 54.52% of hot spots were undetected by the VIIRS Nightfire product, while the TAI method was able to detect these hot spots. With the MODTRAN 5 radiative transfer model, we simulated the high-temperature detection ability of the TAI. Compared with the VIIRS Nightfire product, the TAI is more sensitive when detecting hot spots below 700 K. Thus, this method can potentially detect family workshops engaged in the smallscale combustion of fuel.
资助项目	National Natural Science Foundation of China[41471348] ; National Natural Science Foundation of China[41771448] ; State Key Laboratory of Earth Surface Processes and Resource Ecology[2017-ZY-03] ; Science and Technology Plans of Ministry of Housing and Urban-Rural Development of the People's Republic of China ; Beijing Advanced Innovation Center for Future Urban Design ; Beijing University of Civil Engineering and Architecture[UDC2017030212] ; Beijing University of Civil Engineering and Architecture[UDC201650100] ; Beijing Laboratory of Water Resources Security
WOS关键词	ACTIVE FIRE DETECTION ; REFLECTION RADIOMETER ASTER ; MAP URBAN AREA ; SATELLITE DATA ; SURFACE-TEMPERATURE ; DETECTION ALGORITHM ; PRODUCT ; MODIS ; EMISSION ; RESOLUTION
WOS研究方向	Remote Sensing
语种	英语
出版者	ELSEVIER SCIENCE BV
WOS记录号	WOS:000446291100054
资助机构	National Natural Science Foundation of China ; State Key Laboratory of Earth Surface Processes and Resource Ecology ; Science and Technology Plans of Ministry of Housing and Urban-Rural Development of the People's Republic of China ; Beijing Advanced Innovation Center for Future Urban Design ; Beijing University of Civil Engineering and Architecture ; Beijing Laboratory of Water Resources Security
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/52779]
专题	中国科学院地理科学与资源研究所
通讯作者	Chen, Yunhao
作者单位	1.Beijing Normal Univ, Fac Geog Sci, State Key Lab Earth Surface Proc & Resource Ecol, Beijing 100875, Peoples R China 2.Beijing Adv Innovat Ctr Future Urban Design, Beijing 100044, Peoples R China 3.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
推荐引用方式 GB/T 7714	Xia, Haiping,Chen, Yunhao,Quan, Jinling. A simple method based on the thermal anomaly index to detect industrial heat sources[J]. INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION,2018,73:627-637.
APA	Xia, Haiping,Chen, Yunhao,&Quan, Jinling.(2018).A simple method based on the thermal anomaly index to detect industrial heat sources.INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION,73,627-637.
MLA	Xia, Haiping,et al."A simple method based on the thermal anomaly index to detect industrial heat sources".INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION 73(2018):627-637.