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Mapping shellfish distribution using hyperspectral remote sensing.

机译:使用高光谱遥感绘制贝类分布图。

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摘要

A majority of all baseline shellfish maps are currently produced through ground surveys and manual aerial photo interpretation, a tedious process which is time-consuming and prone to human errors. The first objective of this research was to investigate and document the feasibility of using remotely sensed imagery to identify and classify intertidal shellfish resources. A specific task was to spectrally identify the differences between mud and shellfish using a combination of hyperspectral remote sensing data and extensive in situ spectral data. A second objective was the identification of spectrally relevant portions of the electromagnetic spectrum that are useful in identification of shellfish and to determine if there is a statistical difference between mud and shellfish.;This research found that it was feasible to accurately identify shellfish and distinguish shellfish from mud. It was found that with the incorporation of in situ derived spectral endmembers, the accuracy of the mapping procedure was lower than deriving spectral endmembers directly from the remotely sensed imagery. It was also noted that changes within the habitat could have occurred between the acquisition of the remotely sensed HyMAP and AISA imagery and the acquisition of the in situ data may have contributed to lower accuracy results. Secondary objective results indicate that the visible and near infra-red portions of the electromagnetic spectrum are the most useful for discriminating between shellfish and mud. While statistical analysis showed there was a significant difference between mud and shellfish, there was also a high degree of statistical differences within the collected shellfish data that a degree of uncertainty remains.;The use of remotely sensed imagery, in situ ancillary data and field verification does result in shellfish maps that are less error prone than previous methodologies and allows for the mapping of remote or hard to access areas of shellfish resources.;It is hoped that the creation of a repeatable, timely, and cost effective mapping technique that is less prone to error for the creation of baseline shellfish maps will benefit the coastal community at national and international levels.
机译:目前,所有基准贝类地图中的大多数都是通过地面勘测和手动航拍解释来制作的,这是一个繁琐的过程,既耗时又容易出错。这项研究的第一个目标是调查并记录使用遥感影像识别和分类潮间带贝类资源的可行性。一项特定的任务是结合使用高光谱遥感数据和大量原位光谱数据,光谱识别泥浆和贝类之间的差异。第二个目标是识别电磁光谱的光谱相关部分,这些部分可用于识别贝类并确定泥浆和贝类之间是否存在统计差异。这项研究发现,准确识别贝类和区分贝类是可行的从泥里。已经发现,结合原位衍生的光谱末端成员,映射过程的准确性低于直接从遥感影像获得光谱末端成员。还应注意的是,在获取遥感的HyMAP和AISA图像之间,栖息地内部可能发生了变化,而就地数据的获取可能导致精度较低的结果。次要客观结果表明,电磁波谱的可见和近红外部分对于区分贝类和泥类最有用。尽管统计分析表明泥和贝类之间存在显着差异,但收集的贝类数据之间也存在高度统计差异,仍存在一定程度的不确定性;使用遥感图像,原位辅助数据和现场验证确实导致了比以前的方法更不易出错的贝类地图,并允许对远程或难以访问的贝类资源区域进行映射。希望创建一种可重复,及时且经济高效的映射技术在创建基准贝类地图时容易出错,这将使沿海国家在国家和国际层面受益。

著录项

  • 作者

    Vincent, Jeffrey S.;

  • 作者单位

    University of South Carolina.;

  • 授予单位 University of South Carolina.;
  • 学科 Physical Geography.;Remote Sensing.;Biology Oceanography.
  • 学位 Ph.D.
  • 年度 2006
  • 页码 166 p.
  • 总页数 166
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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