The Extraction of Built-up Areas in Chinese Mainland Cities Based on the Local Optimal Threshold Method Using NPP-VIIRS
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RESEARCH ARTICLE
The Extraction of Built-up Areas in Chinese Mainland Cities Based on the Local Optimal Threshold Method Using NPP-VIIRS Images Chen Li1,2,3
•
Ping Duan1,2,3 • Mingguo Wang4 • Jia Li1,2,3 • Birong Zhang1,2,3
Received: 16 August 2019 / Accepted: 9 October 2020 Ó Indian Society of Remote Sensing 2020
Abstract Accurate extraction of urban built-up areas is an essential prerequisite of urbanization research. This paper proposes a local optimal threshold method based on NPP-VIIRS nighttime light images to extract urban built-up areas in mainland China. First, according to the regional economic differences, the image is divided into eight regions. Second, the maximum variance ratio threshold method and particle swarm optimization algorithm are combined to extract the optimal threshold for segmenting the night light images in each region. The optimal threshold for each region is used to extract the urban built-up areas from the NPP-VIIRS images of each region. Finally, eight urban built-up areas are merged. In order to verify the extraction accuracy, one city-level city and one county-level city are extracted in each region, and the boundaries of urban built-up areas are compared with a Google Earth historical image from June 15, 2015. The experimental results show that the kappa for the eight selected city-level cities (Shanghai, Chengdu, Lanzhou, Changsha, Changzhi, Tianjin, Shenzhen, Harbin) is approximately 0.80. The kappa for the eight selected county-level cities (Baoying, Luoping, Fuhai, Dongxiang, Dongsheng, Miyun, Longchuan, Shuangyang) is approximately 0.75. The method exhibits high precision for large-scale urban built-up area extraction without the aid of auxiliary data. The experimental results indicate that light intensity can reflect the development level of a city. Keywords Optimal threshold Urban built-up area NPP-VIIRS Particle swarm optimization
Introduction & Ping Duan [email protected] & Jia Li [email protected]; [email protected] Chen Li [email protected] Mingguo Wang [email protected] Birong Zhang [email protected] 1
Department of Geography, Yunnan Normal University, Kunming 650500, Yunnan, China
2
Key Laboratory of Resources and Environmental Remote Sensing for Universities in Yunnan, Kunming 650500, Yunnan, China
3
Center for Geospatial Information Engineering and Technology of Yunnan Province, Kunming 650500, Yunnan, China
4
Yunnan Institute of Geological Sciences, Kunming 650500, Yunnan, China
Urban built-up areas are the non-agricultural production and construction areas that have been developed by land expropriation and actual construction within an urban administrative area. The accurate extraction of urban builtup areas is the premise of the analysis of the driving forces and the evolution of spatial patterns in urban areas, and this information helps understand the status quo of urban development and monitoring the process of urbanization (Liu et al. 2012). DMSP-OLS (Defense Meteorological Satellite Program’s Operational Lines
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