首页> 外文学位 >Development of a Shoreline Environmental Impact Index (SEII): An analysis of landscape pattern and structure metrics.
【24h】

Development of a Shoreline Environmental Impact Index (SEII): An analysis of landscape pattern and structure metrics.

机译:海岸线环境影响指数(SEII)的开发:景观格局和结构指标的分析。

获取原文
获取原文并翻译 | 示例

摘要

The goal of this study was to develop a Shoreline Environmental Impact Index (SEII) based upon landscape ecology pattern and structure metrics calculated from high resolution remotely sensed imagery This SEII would provide a tool for monitoring freshwater lakes and reservoirs in areas of rapid development. The land use/land cover information for the study was derived from National Aerial Photography Program (NAPP) imagery of a portion of Lake Murray, South Carolina shoreline scanned to simulate high resolution remotely sensed imagery. The shoreline in the study area was divided into 400 landscape units. Common landscape ecology metrics were calculated for these landscape units. They were also rated on a scale from 1 to 10 by expert visual interpretation with a rating of 1 indicating no environmental impact and 10 meaning the shoreline had been severely impacted and was in need of in situ monitoring.; Factor analysis of the landscape metrics calculated support previous work indicating a small number of independent, orthogonal factors are being measured by the landscape metrics (Riitters et al., 1995, Cain et al., 1997). Methods of combining landscape ecology metrics to create a meaningful Shoreline Environmental Impact Index (SEII) included multiple linear regression, multiple discriminant analysis, genetic neural networks, standard feed forward back propagation neural networks and manual combination. The ratings produced by the SEII's generated using these methods were then compared to the ratings by the experts. There was very little difference in the performance of several SEII's generated despite some differences in metrics and weighting chosen by the different methods. The ratings from all methods showed their ability to reflect the expert ratings in general. Conclusions indicate that the ability of the landscape metrics to discriminate between levels of shoreline degradation is contained within a relatively few metrics. In any of the current forms the SEII is suitable only for general indication of shoreline health.
机译:这项研究的目的是根据从高分辨率遥感影像计算得出的景观生态格局和结构指标,开发海岸线环境影响指数(SEII)。该SEII将为监测快速发展地区的淡水湖泊和水库提供一种工具。该研究的土地利用/土地覆盖信息来自国家航空摄影计划(NAPP)图像,该图像对南卡罗来纳州默里湖海岸线的一部分进行了扫描,以模拟高分辨率遥感影像。研究区域的海岸线分为400个景观单元。为这些景观单元计算了常见的景观生态指标。他们还通过专家的视觉解释以1到10的等级进行评分,等级1表示无环境影响,等级10表示海岸线受到了严重影响,需要现场监测。所计算的景观指标的因子分析支持以前的工作,表明景观指标正在测量少量独立的正交因子(Riitters等,1995; Cain等,1997)。结合景观生态学指标以创建有意义的海岸线环境影响指数(SEII)的方法包括多元线性回归,多元判别分析,遗传神经网络,标准前馈传播神经网络和手动组合。然后,将使用这些方法生成的SEII产生的等级与专家的等级进行比较。尽管通过不同方法选择的度量和权重有所不同,但几个SEII的性能几乎没有差异。所有方法的评分都显示出它们能够总体反映专家评分的能力。结论表明,景观指标区分海岸线退化程度的能力包含在相对较少的指标中。 SEII以任何当前形式仅适用于海岸线健康的一般指示。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号