摘要
本文基于2010—2020年Landsat遥感影像数据,采用植被指数方法,对建成区内的城市植被进行提取,分析研究区域内绿地面积和时空分布的变化状况,以景观指数中的最大斑块指数和景观形状指数对研究区域城市绿地的破碎化程度进行量化,探究城市绿地格局分布演变情况。应用地理加权回归模型研究生产总值、城镇人口及建成区面积等对城市绿地破碎化的时空效应。该研究结果有助于城市绿地管理及保护。
Based on Landsat remote sensing image data from 2010 to 2020,this paper extracts urban vegetation in the built-up area using vegetation index method,analyzes the changes of green space in area and spatial and temporal distribution,and quantifies fragmentation degree of the green space in the study area using the largest patch index and landscape shape index,and explores the evolution of urban green space in pattern and distribution.The spatial and temporal effects of GDP,urban population and built-up area on urban green space fragmentation were studied by using geographic weighted regression model.The research results are helpful to provide scientific basis for the management and protection of urban green space.
作者
桂翔
梁栋栋
占得龙
GUI Xiang;LIANG Dongdong;ZHAN Delong(No.2 Institute of Hydrological and Engineering Geological Exploration of Anhui Province,Bureau of Geology and Mineral Exploration of Anhui Province,Wuhu,Anhui 241000,China;Research Center of Geospectral Detection Engineering,Bureau of Geology and Mineral Exploration of Anhui Province,Wuhu,Anhui 241000,China;School of Geography and Tourism,Anhui Normal University,Wuhu,Anhui 241000,China)
出处
《安徽地质》
2024年第1期72-76,共5页
Geology of Anhui
基金
安徽省重点研究与开发计划项目“安徽省大别山区地质灾害隐患综合遥感识别监测及活动性评估关键技术研究”(编号:S2022m07020031)
安徽省住房城乡建设科学技术计划项目“城市群和区域生态安全实时监测评估与预警技术研究——以皖江城市带为例”(编号:2023-YF039)
芜湖市科技计划项目“土地利用冲突的时空演化、原因及预测——以芜湖市为例”(编号:2023rkx13)联合资助。
关键词
城市绿地
景观破碎化
地理加权回归
时空变化
urban green space
landscape fragmentation
geographically weighted regression
spatio-temporal change
