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A simple method based on the thermal anomaly index to detect industrial heat sources
Xia, Haiping1; Chen, Yunhao1,2; Quan, Jinling3
2018-12-01
Source PublicationINTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
ISSN0303-2434
Volume73Pages:627-637
Corresponding AuthorChen, Yunhao(cyh@bnu.edu.cn)
AbstractBecause 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.
KeywordIndustrial heat sources Thermal anomaly index ASTER
DOI10.1016/j.jag.2018.08.003
WOS KeywordACTIVE FIRE DETECTION ; REFLECTION RADIOMETER ASTER ; MAP URBAN AREA ; SATELLITE DATA ; SURFACE-TEMPERATURE ; DETECTION ALGORITHM ; PRODUCT ; MODIS ; EMISSION ; RESOLUTION
Indexed BySCI
Language英语
Funding ProjectNational 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
Funding OrganizationNational 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
WOS Research AreaRemote Sensing
WOS SubjectRemote Sensing
WOS IDWOS:000446291100054
PublisherELSEVIER SCIENCE BV
Citation statistics
Cited Times:2[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/52780
Collection中国科学院地理科学与资源研究所
Corresponding AuthorChen, Yunhao
Affiliation1.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
Recommended Citation
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.
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