Research of Industrial Heat Sources Detection Method Based on Thermal Infrared Satellite Data

Carbon based fuel burning in industrial plants accounts for a large proportion of greenhouse gas emissions, which has a significant impact on human health and climate change. Monitoring the operation status of these factories by means of thermal infrared (TIR) remote sensing technology is one of the important measures for environmental protection. This paper proposed an automatic detection method for industrial heat sources (IHSs) based on TIR data. Firstly, the land surface temperature data is retrieved, then the local abnormal high temperature pixels are extracted by sliding window smoothing, and finally the industrial heat sources are further screened by normalized vegetation index (NDVI) data. To verify the reliability of the proposed method, this paper used the Landsat8 data in Jiangsu and Hebei Province of China in 2019 to identify industrial heat sources. Through artificial judgment with optical satellite image, the detection accuracy was 83.78% in Jiangsu and 78.6% in Hebei respectively. Whether for large-scale plants or small workshop plants, the detection accuracy of proposed method is satisfactory. The validation results represent that this method could be used as a new technology for government or industry regulation.