Spatio-temporal Evolution of Urban Expansion Based on a Novel Adjusted Index and GEE: A Case Study of Central Plains Urban Agglomeration, China  

作　　者：SU Yanlin LU Chunyan SU Yue WANG Zili HUANG Yufei YANG Nuocheng 

机构地区：[1]College of Computer and Information Sciences,Fujian Agriculture and Forestry University,Fuzhou 350002,China [2]Research Centre of Resource and Environment Spatial Information Statistics of Fujian Province,Fujian Agriculture and Forestry University,Fuzhou 350002,China [3]Key Laboratory of Ecology and Resources Statistics of Fujian Province Universities,Fujian Agriculture and Forestry University,Fuzhou 350002,China

出　　处：《Chinese Geographical Science》2023年第4期736-750,共15页中国地理科学（英文版）

基　　金：Under the auspices of Social Science and Humanity on Young Fund of the Ministry of Education of China(No.21YJCZH100);the Scientific Research Project on Outstanding Young of the Fujian Agriculture and Forestry University(No.XJQ201920);the Science and Technology Innovation Special Fund Project of Fujian Agriculture and Forestry University(No.CXZX2021032);the Forestry Peak Discipline Construction Project of Fujian Agriculture and Forestry University(No.72202200205)。

摘　　要：It is crucial to investigate the urban agglomerations spatio-temporal evolution patterns and driving factors for analyzing the urban spatial structure-functional division and promoting the coordinated development of urban agglomerations.In this study,a novel vegetation-building-nighttime light-adjusted index(VBNAI)was established for rapid and effective mapping of urban construction land(UCL)in Central Plains Urban Agglomeration(CPUA),China during 2000–2020 based on Google Earth Engine(GEE)platform.Compared with traditional indices,VBNAI can significantly decrease the blooming effect,Normalized Difference Vegetation Index(NDVI)saturation,and soil background of nighttime light data.In addition,the urban expansion indices and standard deviation ellipse model were synthetically adopted to analyze the spatio-temporal evolution pattern of urban expansion.The gravity model and the geographically weighted regression model were employed to determine the spatial interaction forces and drivers of urban expansion,respectively.The results showed that the VBNAI index has obvious advantages in efficiency and accuracy to extract UCL with the overall accuracy of more than 91%.The UCL of CPUA had increased by 4489.84 km2 during 2000–2020 with the gravity center moving towards southeast continuously.From 2000 to 2010,the urban expansion was in a‘center-hinterland’pattern which had benefit from the favorable effect of the traffic shaft belt.During 2010–2020,the urban network structure had basically established.Urban expansion had been influenced by a variety of socio-economic and demographic factors,and the impact degree varied from region to region.This study could provide scientific references for facilitating the intensive utilization of urban resources and optimizing the spatial development pattern of urban agglomeration.

关 键 词：urban expansion urban construction land(UCL)mapping vegetation-building-nighttime light-adjusted index(VBNAI) multi-source remote sensing Google Earth Engine(GEE) Central Plains Urban Agglomeration(CPUA) China 

分 类 号：F299.27[经济管理—国民经济]