Spatiotemporal Evolution of Built-up Areas in Shandong Peninsula Urban Agglomeration Based on Multi-source Data Fusion
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.
multi-source dataurban agglomeration expansiontemporal and spatial evolutiondriving force analysis
万方数据
维普
