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Land use and land cover change detection using satellite remote sensing techniques in the mountainous Three Gorges Area, China

机译:中国三峡山区山区利用卫星遥感技术进行土地利用和土地覆被变化检测

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摘要

The Three Gorges Area (TGA), along the Yangtze River, China has been experiencing drastic land use and land cover (LU/LC) changes since the commencement of the construction of the Three Gorges Dam in 1994. These changes may have environmental impacts. However, information about the changes is limited and difficult to obtain. In this paper, optical satellite imagery is used to detect LU/LC changes during the study period 1987-2006 for the complicated, high-relief environment. A case study was conducted in Zigui County of Hubei Province within the TGA. A site-specific procedure using a decision rule-based classification method and a post classification change detection technique is developed to combine spectral and spatial knowledge in the classification of multi-temporal images. Using the decision rule-based classification method, overall accuracies of LU/LC maps of seven classes between 73.4% and 89.5% were obtained, increased by 4-5% over that using the traditional method. The results show that the main trend in LU/ LC change in the study area throughout the monitoring period was a steady reduction in natural vegetation areas. About 32% of the total area of natural vegetation, including forest, shrub and grass, was lost to built up areas, crop fields and orchards.
机译:自1994年三峡大坝开始建设以来,中国沿长江三峡地区(TGA)一直在经历着急剧的土地利用和土地覆被(LU / LC)变化。这些变化可能会对环境产生影响。但是,有关更改的信息是有限的,并且很难获得。在本文中,光学卫星图像用于检测1987-2006年研究期间复杂,高浮雕环境的LU / LC变化。 TGA在湖北省Zi归县进行了案例研究。开发了使用基于决策规则的分类方法和分类后更改检测技术的特定于站点的程序,以在多时相图像的分类中结合光谱和空间知识。使用基于决策规则的分类方法,获得了73.4%和89.5%之间的七类LU / LC映射的总体准确性,比传统方法提高了4-5%。结果表明,在整个监测期内,研究区土地利用/土地利用变化的主要趋势是自然植被面积的稳定减少。包括森林,灌木和草丛在内的自然植被总面积的约32%消失在耕地,农田和果园中。

著录项

  • 来源
    《International journal of remote sensing》 |2010年第6期|1519-1542|共24页
  • 作者

    ZHAOHUA CHEN; JINFEI WANG;

  • 作者单位

    Department of Geography, The University of Western Ontario, London, Ontario, Canada N6A 5C2;

    rnDepartment of Geography, The University of Western Ontario, London, Ontario, Canada N6A 5C2;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 13:25:29

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