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Land cover mapping and change detection in urban watersheds using QuickBird high spatial resolution satellite imagery.

机译:使用QuickBird高空间分辨率卫星图像对城市流域进行土地覆盖制图和变化检测。

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摘要

The objective of this research was to develop methods for urban land cover analysis using QuickBird high spatial resolution satellite imagery. Such imagery has emerged as a rich commercially available remote sensing data source and has enjoyed high-profile broadcast news media and Internet applications, but methods of quantitative analysis have not been thoroughly explored.;The research described here consists of three studies focused on the use of pan-sharpened 61-cm spatial resolution QuickBird imagery, the spatial resolution of which is the highest of any commercial satellite. In the first study, a per-pixel land cover classification method is developed for use with this imagery. This method utilizes a per-pixel classification approach to generate an accurate six-category high spatial resolution land cover map of a developing suburban area. The primary objective of the second study was to develop an accurate land cover change detection method for use with QuickBird land cover products. This work presents an efficient fuzzy framework for transforming map uncertainty into accurate and meaningful high spatial resolution land cover change analysis.;The third study described here is an urban planning application of the high spatial resolution QuickBird-based land cover product developed in the first study. This work both meaningfully connects this exciting new data source to urban watershed management and makes an important empirical contribution to the study of suburban watersheds. Its analysis of residential roads and driveways as well as retail parking lots sheds valuable light on the impact of transportation-related land use on the suburban landscape.;Broadly, these studies provide new methods for using state-of-the-art remote sensing data to inform land cover analysis and urban planning. These methods are widely adaptable and produce land cover products that are both meaningful and accurate. As additional high spatial resolution satellites are launched and the cost of high resolution imagery continues to decline, this research makes an important contribution to this exciting era in the science of remote sensing.
机译:这项研究的目的是开发使用QuickBird高空间分辨率卫星图像进行城市土地覆盖分析的方法。这样的图像已经成为一种丰富的商业遥感数据源,并受到了广受关注的广播新闻媒体和互联网应用的欢迎,但是定量分析的方法尚未得到彻底探索。这里描述的研究包括三项针对使用的研究锐利的61厘米空间分辨率的QuickBird图像,其空间分辨率是所有商业卫星中最高的。在第一个研究中,针对此图像开发了一种按像素的土地覆盖分类方法。该方法利用每个像素的分类方法来生成发展中郊区的准确的六类高空间分辨率土地覆盖图。第二项研究的主要目的是开发一种与QuickBird土地覆盖产品一起使用的准确的土地覆盖变化检测方法。这项工作提出了一个有效的模糊框架,用于将地图不确定性转换为准确而有意义的高分辨率的土地覆盖变化分析。此处描述的第三项研究是第一项研究中开发的基于高空间分辨率基于QuickBird的土地覆盖产品的城市规划应用。这项工作既有意义地将这一令人振奋的新数据源与城市流域管理联系起来,又对郊区流域的研究做出了重要的经验贡献。其对住宅道路和车道以及零售停车场的分析为与交通相关的土地利用对郊区景观的影响提供了宝贵的启示。广泛地,这些研究为使用最新的遥感数据提供了新的方法。告知土地覆盖分析和城市规划。这些方法具有广泛的适应性,可生产出有意义且准确的土地覆被产品。随着额外的高空间分辨率卫星的发射以及高分辨率图像的成本持续下降,这项研究为遥感科学这个令人兴奋的时代做出了重要贡献。

著录项

  • 作者

    Hester, David Barry.;

  • 作者单位

    North Carolina State University.;

  • 授予单位 North Carolina State University.;
  • 学科 Geodesy.;Remote Sensing.
  • 学位 Ph.D.
  • 年度 2008
  • 页码 143 p.
  • 总页数 143
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 大地测量学;遥感技术;
  • 关键词

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