Bulletin of Surveying and Mapping ›› 2022, Vol. 0 ›› Issue (1): 105-109.doi: 10.13474/j.cnki.11-2246.2022.0019

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Multi-source remote sensing monitoring and prediction of urban expansion in typical coastal zone: a case study of Qingdao

LI Peng1,2, LI Chu'an1,3, YANG Jimei4, LI Zhenhong1,5,6, WANG Houjie1,2   

  1. 1. Key Lab of Submarine Geosciences and Prospecting Technology, Institute of Estuarine and Coastal Zone, College of Marine Geosciences, Ocean University of China, Qingdao 266100, China;
    2. Laboratory of Marine Geology, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266061, China;
    3. School of Geography and Planning, Sun Yat-Sen University, Guangzhou 510275, China;
    4. College of Economics and Management, Qingdao University of Science and Technology, Qingdao 266061, China;
    5. College of Geological Engineering and Geomatics, Chang'an University, Xi'an 710054, China;
    6. School of Engineering, Newcastle University, Newcastle Upon Tyne NE1 7RU, UK
  • Received:2021-01-14 Published:2022-02-22

Abstract: In this paper, DMSP-OLS and NPP-VIRS nighttime light as well as Landsat multi-spectral remote sensing images are utilized for quantitative analysis of built-up area, urban boundary shape and extension trend in Qingdao over the past 25 years. Combined with the land use classification, road network, POI, DEM and multi-source driving factors and CA-Markov model, land use classification in Qingdao in 2027 is simulated and predicted. The results show that in the past 25 years, the expansion of built-up areas in Qingdao is mainly extensional, and the other urban areas generally expand along the direction of Jiaozhou Bay, and converge to the main urban area of Qingdao, and the construction land in the main urban area develops to the northwest. This paper verifies the applicability of nighttime light remote sensing in monitoring and predicting typical coastal urban expansion, which is expected to provide an important reference for the management and decision-making of urbanization development process.

Key words: urban expansion, nighttime light remote sensing, CA-Markov model, land use change, coastal zone

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