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
Key words
multi-source data/urban agglomeration expansion/temporal and spatial evolution/driving force analysis
维普
万方数据