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基于夜间灯光数据的云南省建成区提取
Extraction of Built-Up Areas in Yunnan Province Based on Nighttime Light Data

DOI: 10.12677/AG.2021.1112153, PP. 1592-1598

Keywords: 夜间灯光影像,阈值法,建成区
Night Light Image
, Threshold Method, Built-Up Area

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Abstract:

建成区是城市现代化发展的产物,夜间灯光影像用单位网格记录区域建成区的灯光亮度差异,可以客观反映不同地区的建成区变化。以云南省作为研究区,基于夜间灯光最佳阈值对1995~2018年的建成区进行提取,对建成区的空间分布特征进行分析,并对建成区发展影响因素进行分析。研究得出:1) 基于夜间灯光影像,用阈值法对建成区进行提取效果较好;2) 滇中地区的建成区扩展速度最快,面积最大,滇东北与滇西北地区的建成区扩展速度最小,面积最小;3) GDP、公共预算收入、粮食产量、农村常住居民人均可支配收入、公共预算收入、粮食产量具有较大的影响。
Built-up areas are the product of urban modernization. The night light image uses unit grids to record the difference in brightness of the built-up areas in the area, which can objectively reflect the changes in built-up areas in different areas. Taking Yunnan Province as the research area, the built-up areas from 1995 to 2018 were extracted based on the best threshold of night light, the spatial distribution characteristics of the built-up areas were analyzed, and the factors affecting the development of the built-up areas were analyzed. The research concluded: 1) Based on night light images, the threshold method is better for extracting built-up areas; 2) The built-up areas in central Yunnan have the fastest expansion speed and the largest area, and the built-up areas in northeastern and northwestern Yunnan have the smallest expansion speed and smallest area; 3) GDP, public budget income, grain output, per capita disposable income of rural residents, public budget income, and grain output have a greater impact.

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