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Open AccessArticle

Assessing Heavy Industrial Heat Source Distribution in China Using Real-Time VIIRS Active Fire/Hotspot Data

1
Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China
2
Sanya Institute of Remote Sensing, Sanya 572029, China
*
Authors to whom correspondence should be addressed.
Sustainability 2018, 10(12), 4419; https://doi.org/10.3390/su10124419
Received: 9 November 2018 / Revised: 22 November 2018 / Accepted: 23 November 2018 / Published: 26 November 2018
(This article belongs to the Section Energy Sustainability)
Rapid urbanization and economic development have led to the development of heavy industry and structural re-equalization in mainland China. This has resulted in scattered and disorderly layouts becoming prominent in the region. Furthermore, economic development has exacerbated pressures on regional resources and the environment and has threatened sustainable and coordinated development in the region. The NASA Land Science Investigator Processing System (Land-SIPS) Visible Infrared Imaging Radiometer (VIIRS) 375-m active fire product (VNP14IMG) was selected from the Fire Information for Resource Management System (FIRMS) to study the spatiotemporal patterns of heavy industry development. Furthermore, we employed an improved adaptive K-means algorithm to realize the spatial segmentation of long-order VNP14IMG and constructed heat source objects. Lastly, we used a threshold recognition model to identify heavy industry objects from normal heat source objects. Results suggest that the method is an accurate and effective way to monitor heat sources generated from heavy industry. Moreover, some conclusions about heavy industrial heat source distribution in mainland China at different scales were obtained. Those can be beneficial for policy-makers and heavy industry regulation. View Full-Text
Keywords: adaptive K-means algorithm; heavy industrial heat sources; time-series; VIIRS active fire product adaptive K-means algorithm; heavy industrial heat sources; time-series; VIIRS active fire product
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MDPI and ACS Style

Ma, C.; Yang, J.; Chen, F.; Ma, Y.; Liu, J.; Li, X.; Duan, J.; Guo, R. Assessing Heavy Industrial Heat Source Distribution in China Using Real-Time VIIRS Active Fire/Hotspot Data. Sustainability 2018, 10, 4419.

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