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基于夜光遥感的辽宁省城镇化动态特征
引用本文:李鹏飞,杨光福,任天智,王蒙.基于夜光遥感的辽宁省城镇化动态特征[J].科学技术与工程,2024,24(5):1989-1996.
作者姓名:李鹏飞  杨光福  任天智  王蒙
作者单位:辽宁省城乡建设规划设计院有限责任公司
摘    要:辽宁省工业发展起步时间早,已实现相对较高的城镇化水平。为加快推进新型城镇化战略实施,推动可持续发展,评估城镇化的动态发展状态尤为重要,基于卫星的夜间灯光被广泛应用于监测各种尺度下的城市时空格局。以2012—2020年NPP/VIIRS夜间灯光数据为数据源,首先借助相关性分析与地理探测器中的因子探测和交互探测算法,验证夜间灯光反映城镇化动态发展的有效性,在此基础上使用变异系数、趋势分析和Hurst指数分析辽宁省城镇化在省域层面和区域层面上的分布特征与发展趋势。结果表明:夜光遥感数据是评价城镇化特征的有效数据来源;省域层面上,城镇面积在十年间不断扩张,而城镇建成区范围内约一半区域发展活力不足,城镇化面临增量不增质的发展困局;区域层面上,城镇化呈现明显的区域差异,沈阳现代化都市圈与辽宁沿海经济带的城镇化水平明显高于其他地区,辽东绿色经济区由于生态保护的限制而发展滞后,但在预测结果中表现出积极的城镇化发展态势。

关 键 词:夜间灯光遥感  城镇化特征  相关性分析  趋势分析  Hurst指数
收稿时间:2023/3/13 0:00:00
修稿时间:2024/1/20 0:00:00

Dynamic characteristics of urbanization in Liaoning Province based on nighttime light remote sensing
Li Pengfei,Yang Guangfu,Ren Tianzhi,Wang Meng.Dynamic characteristics of urbanization in Liaoning Province based on nighttime light remote sensing[J].Science Technology and Engineering,2024,24(5):1989-1996.
Authors:Li Pengfei  Yang Guangfu  Ren Tianzhi  Wang Meng
Institution:Liaoning Urban and Rural Construction Planning Design Institute Co.,LTD
Abstract:The Liaoning Province has a relatively high level of urbanization due to its early industrial development. To accelerate the implementation of the new urbanization strategy and promote sustainable development while assessing the dynamic development of urbanization, satellite-based nighttime light data is widely used to observe urban spatial patterns at various scales. Using NPP/VIIRS nighttime light data as the data source from 2012 to 2020, this study verified the effectiveness of nighttime light data in reflecting the dynamic development of urbanization by first employing correlation analysis and factor and interaction detection algorithms in geographic detectors. Based on this, coefficient of variation, trend analysis, and Hurst index analysis were used to analyze the distribution characteristics and development trends of urbanization in Liaoning Province at both the provincial and regional levels. The results show that: Firstly, nighttime light remote sensing data is an effective source of data for evaluating urbanization features. Secondly, at the provincial level, urban areas have continuously expanded over the past decade, but approximately half of the areas within urbanized areas lack development vitality, leading to a development bottleneck of quantity over quality. Meanwhile, at the regional level, urbanization exhibits significant differences, with the Shenyang Metropolitan Area and the Liaoning Coastal Economic Zone showing significantly higher levels of urbanization than other areas. The Liaodong Green Economic Zone has been hindered by ecological protection restrictions, resulting in lagging development, although the predicted results show a positive trend in urbanization development.
Keywords:nighttime light remote sensing      characteristics of urbanization      correlation analysis      trend analysis      Hurst index
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