多源数据融合的山东半岛城市群建成区时空演变  

Spatiotemporal Evolution of Built-up Areas in Shandong Peninsula Urban Agglomeration Based on Multi-source Data Fusion

作　　者：刘亚静 杨子健 LIU Ya-jing;YANG Zi-jian(College of Mining Engineering,North China University of Science and Technology,Tangshan Hebei 063210,China)

机构地区：[1]华北理工大学矿业工程学院,河北唐山063210

出　　处：《华北理工大学学报（自然科学版）》2025年第1期62-69,共8页Journal of North China University of Science and Technology：Natural Science Edition

基　　金：河北省自然科学基金(D2019209598):面向金属矿山复杂矿体时空数据模型及其存储表达研究。

摘　　要：随着城市化进程的推进,快速精准地提取城市群建成区,并深入剖析其时空特征,对未来城市的可持续发展至关重要。夜间灯光数据能够很好的对城市区域进行识别,现已广泛的用于城市建成区的提取,但是单一的灯光数据无法完全准确的对建成区进行提取,会导致建成区的提取误差。为了准确揭示山东半岛城市群时空演化特征和主导因素,本文运用了EVI(增强植被指数)、道路密度网和夜间灯光数据等多源数据融合的REANI指数对建成区进行提取,分析山东半岛城市群建成区的时空演变。通过REANI指数提取城市群建成区,结果表明,山东半岛城市群近从20年扩张速度和扩张强度稳步提升,形成以西部为主,东部为辅的单一扩张模式,并且城市群扩张受到经济因素最显著,社会、自然因素次之。With the advancement of urbanization,it is crucial to quickly and accurately extract the built-up areas of urban agglomerations and deeply analyze their spatiotemporal characteristics for the sustainable development of future cities.Night light data can effectively identify urban areas and is now widely used for extracting urban built-up areas.However,a single light data cannot accurately extract built-up areas,which can lead to extraction errors.In order to accurately reveal the spatiotemporal evolution characteristics and dominant factors of the Shandong Peninsula urban agglomeration,this paper uses the REANI index,which integrates multiple data sources such as EVI(Enhanced Vegetation Index),road density network,and nighttime lighting data,to extract the built-up areas and analyze the spatiotemporal evolution of the Shandong Peninsula urban agglomeration.Extract the built-up areas of urban agglomerations using the REANI index,the results show that the expansion speed and intensity of the Shandong Peninsula urban agglomeration have steadily increased in the past 20 years,forming a single expansion model dominated by the west and supplemented by the east.The expansion of the urban agglomeration is most significantly influenced by economic factors,followed by social and natural factors.

关 键 词：多源数据 城市群扩张 时空演变 驱动力分析 

分 类 号：P2088[天文地球—地图制图学与地理信息工程]