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

摘要: 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。

Abstract: 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.