测绘通报 ›› 2021, Vol. 0 ›› Issue (9): 83-88.doi: 10.13474/j.cnki.11-2246.2021.0279

• 区域测绘创新成果 • 上一篇    下一篇

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

赵恒洋1, 刘鑫2, 赵尚民1   

  1. 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
  • 收稿日期:2021-04-29 出版日期:2021-09-25 发布日期:2021-10-11
  • 通讯作者: 赵尚民。E-mail:zhaoshangmin@tyut.edu.cn
  • 作者简介:赵恒洋(1994-),男,硕士生,主要从事遥感技术应用研究。E-mail:z155122270567@163.com
  • 基金资助:
    山西省自然科学基金(201901D111098);国家重点研发计划(2017YFB0503603)

Expansion law analysis of Taiyuan built-up area in recent 50 years based on long time series of remote sensing data

ZHAO Hengyang1, LIU Xin2, ZHAO Shangmin1   

  1. 1. School of Mining Engineering, Taiyuan University of Technology, Taiyuan 030024, China;
    2. Eastern General Aero Photography Company Limited, Taiyuan 030031, China
  • Received:2021-04-29 Online:2021-09-25 Published:2021-10-11

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

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.

Key words: built-up areal, temporal and spatial changing, Landsat, expansion characteristics, driving force

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