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首页> 外文学位 >Improved landscape ecology metrics for modeling, monitoring, and assessment of ecosystems with remote sensing.
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Improved landscape ecology metrics for modeling, monitoring, and assessment of ecosystems with remote sensing.

机译：改进的景观生态学指标，用于通过遥感对生态系统进行建模，监视和评估。

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摘要

The goal of this dissertation was to develop improved metrics that show predictable or independent responses to characteristic variation in remote sensing data, specifically spatial resolution, while showing most sensitive responses to actual changes in landscape pattern. To achieve this goal two objectives were accomplished. The first objective was to develop landscape metrics that were sensitive to changes in fragmentation and patch shape complexity along various predictable gradients of change. The second objective was to develop landscape metrics that were insensitive or predictable with changes in spatial resolution.;The improved metrics developed were the Patch-Per-Unit area metric (PPU) and the Square Pixel metric (SqP). PPU measures the degree of fragmentation of patches on a landscape. SqP measures the shape complexity of patches on a landscape. These two metrics were analyzed and compared to two traditional metrics for fragmentation and patch shape complexity: Contagion and Fractal Dimension. The metrics were applied to four study sites which exhibited one of three predictable gradients of change: a spatial horizontal gradient; a vertical gradient; and a temporal gradient.;For all four study sites both PPU and SqP performed as predicted exhibiting the ability to distinguish between landcover types and landscape changes, unlike Contagion and Fractal Dimension. The PPU and SqP metrics were also found to be predictable with spatial resolution. The PPU metric exhibited a negative log log correlation with spatial resolution. Regression analysis of PPU for the log transformations yielded ;This dissertation has demonstrated the need for increased research on the integration of remote sensing, geographic information systems, and landscape ecology metrics for modeling, monitoring, and assessment of ecosystems. The long term value of such research will be realized as we employ these technologies and methods to achieve an improved understanding of the world in which we live.
机译：本文的目的是开发改进的度量标准，以显示对遥感数据特征变化的可预测或独立的响应，特别是空间分辨率，同时对景观格局的实际变化显示最敏感的响应。为了实现该目标，实现了两个目标。第一个目标是开发景观指标，这些指标对碎片变化和斑块形状复杂性以及各种可预测的变化梯度敏感。第二个目标是开发随着空间分辨率的变化而变得不敏感或不可预测的景观度量标准;改进的度量标准是每单位面积面积度量标准（PPU）和正方形像素度量标准（SqP）。 PPU测量景观上斑块的碎片程度。 SqP测量景观上斑块的形状复杂度。分析了这两个指标并将其与两个传统指标进行比较，以了解碎片和补丁形状复杂性：传染和分形维数。将该度量应用于四个研究站点，这些站点展现出三个可预测的变化梯度之一：空间水平梯度；空间水平梯度；空间水平梯度。垂直梯度；对于四个研究地点，PPU和SqP均按预期执行，表现出能够区分土地覆被类型和景观变化的能力，这与传染和分形维数不同。还发现PPU和SqP度量标准可以通过空间分辨率预测。 PPU指标显示出与空间分辨率呈负对数对数相关性。对PPU进行对数转换的回归分析；本论文表明，需要对遥感，地理信息系统和景观生态度量集成进行生态系统建模，监测和评估进行更多的研究。当我们采用这些技术和方法来更好地了解我们所生活的世界时，这种研究的长期价值将会实现。

著录项

  • 作者

    Frohn, Robert Cristopher.;

  • 作者单位

    University of California, Santa Barbara.;

  • 授予单位 University of California, Santa Barbara.;
  • 学科 Geography.;Physical Geography.;Environmental Sciences.;Remote Sensing.
  • 学位 Ph.D.
  • 年度 1997
  • 页码 197 p.
  • 总页数 197
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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