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A Method for Monitoring Iron and Steel Factory Economic Activity Based on Satellites

Author

Listed:
  • Yi Zhou

    (Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China)

  • Fei Zhao

    (Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Shixin Wang

    (Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China)

  • Wenliang Liu

    (Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China)

  • Litao Wang

    (Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China)

Abstract

The Chinese government has promulgated a de-capacity policy for economic growth and environmental sustainability, especially for the iron and steel industry. With these policies, this study aimed to monitor the economic activities and evaluate the production conditions of an iron and steel factory based on satellites via Landsat-8 Thermal Infrared Sensor (TIRS) data and high-resolution images from January 2013 to October 2017, and propel next economic adjustment and environmental protection. Our methods included the construction of a heat island intensity index for an iron and steel factory (ISHII), a heat island radio index for an iron and steel factory (ISHRI) and a dense classifying approach to monitor the spatiotemporal changes of the internal heat field of an iron and steel factory. Additionally, we used GF-2 and Google Earth images to identify the main production area, detect facility changes to a factory that alters its heat field and verify the accuracy of thermal analysis in a specific time span. Finally, these methods were used together to evaluate economic activity. Based on five iron and steel factories in the Beijing-Tianjin-Hebei region, when the ISHII curve is higher than the seasonal changes in a time series, production is normal; otherwise, there is a shut-down or cut-back. In the spatial pattern analyses, the ISHRI is large in normal production and decreases when cut-back or shut-down occurs. The density classifying images and high-resolution images give powerful evidence to the above-mentioned results. Finally, three types of economic activities of normal production, shut-down or cut-back were monitored for these samples. The study provides a new perspective and method for monitoring the economic activity of an iron and steel factory and provides supports for sustainable development in China.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:6:p:1935-:d:151577
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    References listed on IDEAS

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    1. André Martinuzzi & Vincent Blok & Alexander Brem & Bernd Stahl & Norma Schönherr, 2018. "Responsible Research and Innovation in Industry—Challenges, Insights and Perspectives," Sustainability, MDPI, vol. 10(3), pages 1-9, March.
    2. Mert, Mehmet Selçuk & Dilmaç, Ömer Faruk & Özkan, Semra & Karaca, Fatma & Bolat, Esen, 2012. "Exergoeconomic analysis of a cogeneration plant in an iron and steel factory," Energy, Elsevier, vol. 46(1), pages 78-84.
    3. Doll, Christopher N.H. & Muller, Jan-Peter & Morley, Jeremy G., 2006. "Mapping regional economic activity from night-time light satellite imagery," Ecological Economics, Elsevier, vol. 57(1), pages 75-92, April.
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    Cited by:

    1. Fang Han & Fei Zhao & Fuxing Li & Xiaoli Shi & Qiang Wei & Weimiao Li & Wei Wang, 2023. "Improvement of Monitoring Production Status of Iron and Steel Factories Based on Thermal Infrared Remote Sensing," Sustainability, MDPI, vol. 15(11), pages 1-17, May.
    2. 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.
    3. 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.
    4. Zhang, Rui & Qie, Xiaotong & Hu, Yanyong & Chen, Xue, 2022. "Does de-capacity policy promote the efficient and green development of the coal industry? –Based on the evidence of China," Resources Policy, Elsevier, vol. 77(C).
    5. Wengang Zhang & Feng Xu & Xuefeng Wang, 2020. "How Green Transformational Leadership Affects Green Creativity: Creative Process Engagement as Intermediary Bond and Green Innovation Strategy as Boundary Spanner," Sustainability, MDPI, vol. 12(9), pages 1-17, May.

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