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LI Fei, YAN Qingwu, ZOU Yajing, LIU Baoli. Extraction Accuracy of Urban Built-up Area Based on Nighttime Light Data and POI: A Case Study of Luojia 1-01 and NPP/VIIRS Nighttime Light Images[J]. Geomatics and Information Science of Wuhan University, 2021, 46(6): 825-835. DOI: 10.13203/j.whugis20190266
Citation: LI Fei, YAN Qingwu, ZOU Yajing, LIU Baoli. Extraction Accuracy of Urban Built-up Area Based on Nighttime Light Data and POI: A Case Study of Luojia 1-01 and NPP/VIIRS Nighttime Light Images[J]. Geomatics and Information Science of Wuhan University, 2021, 46(6): 825-835. DOI: 10.13203/j.whugis20190266
shu

Extraction Accuracy of Urban Built-up Area Based on Nighttime Light Data and POI: A Case Study of Luojia 1-01 and NPP/VIIRS Nighttime Light Images

  • 1.

    School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China

  • 2.

    Jiangsu Key Laboratory of Resources and Environmental Information Engineering, China University of Mining and Technology, Xuzhou 221116, China

  • 3.

    School of Public Policy and Management, China University of Mining and Technology, Xuzhou 221116, China

Funds: 

Open Fund of State Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University 18T03

Science and Technology Project of Inner Mongolia Autonomous Region 2060399-273

the National Natural Science Foundation of China 51874306

More Information
  • Author Bio:

    LI Fei, postgraduate, specialized in GIS application and spatial statistics. E-mail: 525406290@qq.com

  • Corresponding author:

    YAN Qingwu, PhD, associate professor.E-mail: 3403175@163.com

  • Received Date: October 14, 2019
  • Published Date: June 04, 2021
    Graphical Abstract
    • Abstract
  •   Objectives  In recent years, nighttime light images have been widely used in urban built-up area extraction. However, the accuracy of the extraction results is not satisfactory due to the low data resolution and the blooming effect.
      Methods  To solve this problem, the NTL(nighttime light) & POI(point of interest)composite index is proposed, which is based on the nighttime light images of Luojia 1-01 of China and NPP/VIIRS(national polar-orbiting partnership's visible infrared imaging radiometer suite) of the United States. The threshold method is used to extract the built-up areas before and after NTL&POI composite index processing.
      Results  Compared with the reference built-up areas, results extracted by NTL&POI composite index not only reflect the overall shape of the built-up areas but also retain details such as boundary information. The landscape pattern indexes indicate that the extracted results have better connectivity and complexity. Recall, precision and F1 score prove that NTL&POI composite index effectively improves the extraction accuracy of built-up areas, and achieves good results in main and non-main urban areas with different development degrees. Combined with POI data, the extraction accuracy of built-up areas of Luojia 1-01 increases by approximately 5% and that of NPP/VIIRS increases by about 3%.
      Conclusions  Compared with NPP/VIIRS, Luojia 1-01 ensures high precision and satisfying performance in terms of boundary and detail information of built-up areas, which brings it a broad application prospect.
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    • References (33)
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