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基于NPP/VIIRS夜光遥感影像的青岛城市空间发展变化分析 被引量:1

Analysis of Urban Spatial Development Changes in Qingdao Based on NPP/VIIRS Nighttime Light Remote Sensing Images
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摘要 基于NPP/VIIRS年合成夜光数据,参考高分辨率遥感影像及建成区数据,利用突变检测法提取了2012-2021年青岛市建成区范围。同时,结合社会经济数据,分析了青岛市在此期间的城市夜光变化、建成区变化、景观格局变化以及城市发展影响因子。结果表明,青岛市夜光量逐年增加,环胶州湾地区夜光变化显著,城市建成区不断增大且空间重心向西北移动。此外,城市景观格局呈现出以中心城区及组团区扩张为主的趋势。驱动力分析显示,建成区扩张对城市发展具有显著促进作用,而人口密度及第一产业产值则对城市发展产生一定抑制作用。本研究可为青岛市城市发展与规划提供数据支撑。 Based on the annual composite nighttime light data from NPP/VIIRS,high-resolution remote sensing imagery,the built-up area of Qingdao City from 2012 to 2021 was extracted using the mutation detection method.Meanwhile,combined with socio-economic data,changes in nighttime light,built-up areas,landscape patterns,and urban development drivers in Qingdao during this period were analyzed.The results showed that the amount of nighttime light in Qingdao has been increasing year by year,with significant changes in the areas around Jiaozhou Bay.The urban built-up area has been continuously expanding,and the spatial center of gravity has shifted northwest.In addition,the urban landscape pattern has shown a trend dominated by the expansion of the central urban area and grouped areas.The analysis of driving forces revealed that the expansion of built-up areas has a significant role in promoting urban development,while population density and the output value of the primary industry have certain inhibitory effects on urban development.This study can provide data support for urban development and planning in Qingdao City.
作者 侯安业 李琳 马春彦 王刚 孙艺萍 HOU Anye;LI Lin;MA Chunyan;WANG Gang;SUN Yiping(Qingdao Surveying&Mapping Institute,Qingdao 266000,China;Qingdao Key Laboratory for Sea-Land Geographical Information Integration and Application of Qingdao,Qingdao 266000,China;Nexen Tire Qingdao Co.,Ltd.,Qingdao 266000,China)
出处 《城市勘测》 2025年第1期158-163,共6页 Urban Geotechnical Investigation & Surveying
基金 山东省自然科学基金项目(ZR2020MD043)。
关键词 NPP/VIIRS数据 城市空间发展 建成区 夜光遥感 NPP/VIIRS data urban spatial development built-up area nighttime light remote sensing
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