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

Author

Listed:
  • Caihong Ma

    (Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China
    Sanya Institute of Remote Sensing, Sanya 572029, China)

  • Jin Yang

    (Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China)

  • Fu Chen

    (Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China)

  • Yan Ma

    (Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China)

  • Jianbo Liu

    (Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China)

  • Xinpeng Li

    (Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China)

  • Jianbo Duan

    (Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China)

  • Rui Guo

    (Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China)

Abstract

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.

Suggested Citation

  • Caihong Ma & Jin Yang & Fu Chen & Yan Ma & Jianbo Liu & Xinpeng Li & Jianbo Duan & Rui Guo, 2018. "Assessing Heavy Industrial Heat Source Distribution in China Using Real-Time VIIRS Active Fire/Hotspot Data," Sustainability, MDPI, vol. 10(12), pages 1-17, November.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:12:p:4419-:d:185631
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    References listed on IDEAS

    as
    1. Zheng Lu & Xiang Deng, 2013. "Regional Policy And Regional Development: A Case Study Of China'S Western Development Strategy," Annales Universitatis Apulensis Series Oeconomica, Faculty of Sciences, "1 Decembrie 1918" University, Alba Iulia, vol. 1(15), pages 1-21.
    2. Yi Zhou & Fei Zhao & Shixin Wang & Wenliang Liu & Litao Wang, 2018. "A Method for Monitoring Iron and Steel Factory Economic Activity Based on Satellites," Sustainability, MDPI, vol. 10(6), pages 1-21, June.
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    Cited by:

    1. Caihong Ma & Xin Sui & Yi Zeng & Jin Yang & Yanmei Xie & Tianzhu Li & Pengyu Zhang, 2022. "Classification of Industrial Heat Source Objects Based on Active Fire Point Density Segmentation and Spatial Topological Correlation Analysis in the Beijing–Tianjin–Hebei Region," Sustainability, MDPI, vol. 14(18), pages 1-19, September.

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