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基于长时间序列遥感数据的太原市建成区近50年扩张规律分析
引用本文:赵恒洋,刘鑫,赵尚民.基于长时间序列遥感数据的太原市建成区近50年扩张规律分析[J].测绘通报,2021,0(9):83-88.
作者姓名:赵恒洋  刘鑫  赵尚民
作者单位:1. 太原理工大学矿业工程学院, 山西 太原 030024;2. 东方通用航空摄影有限公司, 山西 太原 030031
基金项目:山西省自然科学基金(201901D111098);国家重点研发计划(2017YFB0503603)
摘    要:本文基于太原市1973-2020年遥感影像,利用人工目视解译结合Google历史影像校正提取建成区,引入紧凑度、扩张强度、扩张速度及重心迁移模型等指标对太原市建成区近50年的时空演变特征进行深入分析,并分析太原市建成区扩张的主要驱动力因素。研究表明:①1973-2020年太原市建成区面积扩张了15.12倍,平均年增长面积为7.85 km2;建成区紧凑度普遍较低,在南北方向扩展明显,重心沿南西约30°方向迁移了约3500 m。②引起太原市建成区扩张的主要因素有经济、人口扩张等,其中国民生产总值与人均GDP起到关键性作用。

关 键 词:建成区  时空演变  Landsat  扩张特征  驱动力  
收稿时间:2021-04-29

Expansion law analysis of Taiyuan built-up area in recent 50 years based on long time series of remote sensing data
ZHAO Hengyang,LIU Xin,ZHAO Shangmin.Expansion law analysis of Taiyuan built-up area in recent 50 years based on long time series of remote sensing data[J].Bulletin of Surveying and Mapping,2021,0(9):83-88.
Authors:ZHAO Hengyang  LIU Xin  ZHAO Shangmin
Institution:1. School of Mining Engineering, Taiyuan University of Technology, Taiyuan 030024, China;2. Eastern General Aero Photography Company Limited, Taiyuan 030031, China
Abstract:Based on remote sensing images of Taiyuan from 1973 to 2020, artificial visual interpretation and Google historical image correction are used to extract built-up areas. The compactness, expansion intensity, expansion speed and gravity center transfer model are introduced to analyze the spatiotemporal evolution characteristics of built-up areas in Taiyuan in the past 50 years. The main driving factors of expansion of Taiyuan built-up area are analyzed. The results show that:① From 1973 to 2020, the built-up area of Taiyuan has expanded by 15.12 times, with an average annual increase of 7.85 km2/a. The compactness of the built-up area is generally low and the expansion is obvious in the north-south direction. The center of gravity migrates more than 3500 m along the southwest direction of about 30°. ② The main factors causing the expansion of Taiyuan built-up areas are economy and population expansion, among which GNP and per capita GDP play a key role.
Keywords:built-up areal  temporal and spatial changing  Landsat  expansion characteristics  driving force  
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