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首页> 外文学位 >Detecting and discriminating petroleum and petroleum products from water on terrestrial backgrounds with hyperspectral remote sensing.
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Detecting and discriminating petroleum and petroleum products from water on terrestrial backgrounds with hyperspectral remote sensing.

机译：使用高光谱遥感在地面背景下检测和区分水中的石油和石油产品。

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摘要

Petroleum and petroleum product spills are frequent and as both Hurricane Katrina and the Deepwater Horizon accident demonstrated, they can be catastrophic. A prominent portion of the response is mapping the extent to which oil has reached both shoreline and inland areas. Yet, petroleum and water--when present on common substrates such as sand, concrete, and vegetation--are often difficult to distinguish in panchromatic and multispectral imagery. This research demonstrates how hyperspectral remote sensing, also known as imaging spectroscopy, provides petroleum detection and discrimination from water on terrestrial backgrounds. Utilizing spectral libraries, it also performs material identification and successfully discriminates some petroleum products from one another as a means of further classification and mapping spill extent.;To achieve these goals, this effort collected spectral signatures of four crude oils and five refined petroleum products on ten common terrestrial substrates and compared them to water on the same backgrounds over a period of 1-90 days, depending on liquid volatility. The result is the first publicly available spectral library for petroleum and petroleum products on terrestrial substrates in the reflective portion of the electromagnetic spectrum (400-2500 nm) for use in petroleum spill detection and response. It also establishes a baseline for the use of imaging spectroscopy as a technique for confident, accurate petroleum detection in the terrestrial environment. Using common material identification algorithms, the spectra were successfully applied to airborne hyperspectral data from the Hurricane Katrina disaster in 2005 as a proof-of-concept for discriminating petroleum from water.
机译：石油和石油产品泄漏频繁发生，正如卡特里娜飓风和“深水地平线”事故所表明的那样，它们可能是灾难性的。应对措施的一个重要部分是绘制石油到达海岸线和内陆地区的程度。但是，石油和水-存在于沙子，混凝土和植被等常见基质上时，在全色和多光谱图像中通常很难区分。这项研究表明，高光谱遥感（也称为成像光谱）如何在地面背景下提供石油检测和水中的鉴别。利用光谱库，它还可以进行材料识别，并成功地将某些石油产品彼此区分开，作为进一步分类和绘制泄漏程度的一种方法。为了实现这些目标，这项工作收集了四种原油和五种精炼石油产品的光谱特征。十种常见的地面基质，并将它们与相同背景下的水在1-90天内进行比较，具体取决于液体的挥发性。结果是第一个可公开获得的电磁光谱（400-2500 nm）反射部分中地面上石油和石油产品的光谱库，用于石油泄漏的检测和响应。它还为使用成像光谱技术建立了基线，作为在陆地环境中进行可靠，准确的石油检测的技术。使用常见的材料识别算法，将光谱成功应用于2005年卡特里娜飓风灾难的机载高光谱数据，作为区分水中石油的概念证明。

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  • 作者

    Allen, C. Scott.;

  • 作者单位

    George Mason University.;

  • 授予单位 George Mason University.;
  • 学科 Geography.;Remote Sensing.;Environmental Sciences.;Engineering Petroleum.
  • 学位 Ph.D.
  • 年度 2012
  • 页码 266 p.
  • 总页数 266
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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