基于“珞珈一号”夜光遥感影像的粤港澳大湾区城市空间形态分析

doi:10.3969/j.issn.0255-8297.2020.03.012

摘要/Abstract

摘要： 利用“珞珈一号”夜间灯光影像，分别采用简单阈值法与植被调节的城市夜间灯光指数法提取粤港澳大湾区城市建成区.对比两种提取方法，植被调节的城市夜间灯光指数法可以削弱“珞珈一号”影像的过饱和现象，减少由于影像的“溢出”导致的误提取.计算并对比大湾区内城市建成区的景观指数发现，不同城市的建成区分布存在不同模式：广州、深圳、香港作为大湾区发展核心，城市区域向外扩展；东莞、佛山、澳门、中山、珠海的城市建成区紧凑性高，空间分布组成完整；肇庆、江门、惠州在大湾区内的发展程度低于其他城市，城市建成区斑块面积小，相距较远.研究证明了利用“珞珈一号”夜光遥感影像可以有效揭示粤港澳大湾区的城市空间形态，为该地区城市规划政策提供了依据.

关键词: 粤港澳大湾区, 夜光遥感影像, 植被调节的城市夜间灯光指数, 景观分析

Abstract: In this paper, “LJ1-01” nighttime light (NTL) images are used to extract urban built-up areas of Guangdong-Hong Kong-Macao greater bay area (GBA) by employing simple threshold method and vegetation adjusted NTL urban index (VANUI). Comparing the two methods, VANUI is capable of reducing the over-saturations in LJ1-01 images, thus reducing misclassifications caused by “blooming”. The landscape indices of the urban builtup areas in GBA are calculated and analyzed. It is found that there are different patterns in distribution of built-up areas in different cities. As the cores of the development of GBA, Guangzhou, Shenzhen and Hong Kong have expanding urban areas. The urban built-up areas, like Dongguan, Foshan, Macao, Zhongshan and Zhuhai, are highly compact and integrated in spatial distribution. And the urban built-up areas of less developed cities, including Zhaoqing, Jiangmen and Huizhou, are small and separated. This study proves that the LJ1-01 nighttime light images can effectively reveal the urban spatial form of GBA, providing a basis for urban planning policy of GBA.

Key words: Guangdong-Hong Kong-Macao greater bay area (GBA), nighttime light (NTL) remote sensing image, vegetation adjusted NTL urban index (VANUI), landscape analysis

中图分类号:

P751.1

张雨欣, 李熙, 宋杨, 李长辉. 基于“珞珈一号”夜光遥感影像的粤港澳大湾区城市空间形态分析[J]. 应用科学学报, 2020, 38(3): 466-477.

ZHANG Yuxin, LI Xi, SONG Yang, LI Changhui. Urban Spatial Form Analysis of GBA Based on “LJ1-01” Nighttime Light Remote Sensing Images[J]. Journal of Applied Sciences, 2020, 38(3): 466-477.

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