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夜间灯光遥感视角下的城镇时空格局演变分析——以兰西城市群为例 被引量:3

A spatio-temporal pattern analysis of urban areas from nighttime light:a case study of Lanxi urban agglomeration
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摘要 基于2012-2021年可见红外成像辐射仪夜间灯光遥感影像数据,利用规模测度、城市增长模式理论和空间标准差椭圆方法分析兰西城市群城镇时空格局演变.结果表明,兰西城市群多节点城镇规模布局逐渐均衡,兰州、西宁“双圈”城市首位度趋于合理;兰州都市圈由单核中心城市向多核心城市的区域协同发展转变,西宁都市圈处在优先发展单核中心城市后辐射带动周边多核心城市的发展过程;夜间灯光空间演化特征不断西移体现了西宁-海东都市圈成为兰西城市群夜间灯光规模体系的拉动力量,兰西城市群“一带双圈多节点”的区域均衡化规划格局逐步形成. Based on the visible infrared imaging radiometer suite nighttime light data from 2012 to 2021,the spatio-temporal pattern evolution of the Lanxi urban agglomeration(LUA) was analyzed using the scale measure,urban growth theory and deviation ellipse method with the results that the distribution of multi-node cities in LUA was gradually balanced,and the primacy degree of Lanzhou and Xining tended to be reasonable;the Lanzhou metropolitan region was transformed from a single-core central city to a multi-core city in the regional coordinated development,and the Xining metropolitan region was in the process of radiating the development of surrounding multi-core cities after giving priority to the development of a single-core central city;The spatial evolution characteristics of nighttime light continued to shift to the west,showing that the Xining-Haidong metropolitan region had become the driving force of nighttime light distribution of LUA,and the regional balanced planning pattern of "one belt,two circles and multiple nodes" of LUA had gradually been formed.
作者 范琳 李彬 FAN Lin;LI Bin(Geomatics Technology and Application Key Laboratory of Qinghai Province,Xining 810001,China;Natural Resources Remote Sensing Center of Qinghai Province,Xining 810001,China;Big Data Center of Geospatial and Natural Resources of Qinghai Province,Xining 810001,China)
出处 《兰州大学学报(自然科学版)》 CAS CSCD 北大核心 2023年第6期720-726,734,共8页 Journal of Lanzhou University(Natural Sciences)
基金 青海省科技成果转化专项(2020-SF-163) 青海省自然科学基金项目(2020-ZJ-927)。
关键词 夜间灯光遥感 兰西城市群 规模测度 城市增长模型 标准差椭圆 nighttime light remote sensing Lanxi urban agglomeration scale measure urban growth model standard deviation ellipse
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