测绘通报 ›› 2022, Vol. 0 ›› Issue (7): 124-128.doi: 10.13474/j.cnki.11-2246.2022.0215

• 技术交流 • 上一篇    下一篇

近20年哈尔滨市呼兰区土地利用覆盖变化及驱动分析

艾敏1, 景慧1, 田禹东1, 郭兰勤1, 裴渊杰2   

  1. 1. 自然资源部第一地理信息制图院, 陕西 西安 710054;
    2. 长安大学地球科学与资源学院, 陕西 西安 710054
  • 收稿日期:2021-11-29 出版日期:2022-07-25 发布日期:2022-07-28
  • 作者简介:艾敏(1963—),女,高级工程师,研究方向为地理信息工程。E-mail:985078315@qq.com

Analysis of land use and coverage change and driving force in Hulan district of Harbin city in recent 20 Years

AI Min1, JING Hui1, TIAN Yudong1, GUO Lanqin1, PEI Yuanjie2   

  1. 1. The First Geographic Information Mapping Institute, Ministry of Natural Resources, Xi'an 710054, China;
    2. School of Earth Science and Resources, Chang'an University, Xi'an 710054, China
  • Received:2021-11-29 Online:2022-07-25 Published:2022-07-28

摘要: 本文基于哈尔滨市呼兰区1998—2018年Landsat TM影像数据和社会经济数据,通过ENVI、ArcMap等软件,采用监督分类、土地利用变化模型、典型相关分析法等方法,科学系统地分析了1998—2010、2010—2018、1998—2018年3个不同时段的土地利用覆盖变化特征,并对土地利用覆盖变化驱动因素进行了分析。结果表明,哈尔滨市呼兰区20年间呈居民地和水域面积增加、耕地变化不大、林草不断减少的土地利用覆盖变化格局,且前8年的变化速度和幅度大于后12年。该区土地利用覆盖变化的影响因素包括自然环境因素、社会经济因素及人口因素。

关键词: 土地利用, 覆盖变化, 驱动分析, 遥感技术, 哈尔滨市呼兰区

Abstract: Based on Landsat TM image data and socio-economic data from 1998 to 2018 in Hulan district of Harbin city, the characteristics of land use change in Hulan district of Harbin city during 1998—2010, 2010—2018 and 1998—2018 are analyzed scientifically and systematically by means of ENVI, ArcMap and other software, using methods of supervisory classification, land use change model and canonical correlation analysis. The results show that: in the past 20 years,the change of the whole land cover area in Hulan district of Harbin city reflects the change pattern of land use with the increase of residential land and water area, a downward trend in cultivated land area, and the decrease of grassland and woodland. Moreover, the change speed and range in the first 8 years are greater than that in the last 12 years. The main reasons for the change of land use types in Hulan district can be divided into natural factors, socio-economic factors and population factors.

Key words: land use, coverage change, driving analysis, remote sensing, Hulan district of Harbin city

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