Crude oil, petroleum product, and water discrimination on terrestrial substrates with airborne imaging spectroscopy
Crude oil, petroleum product, and water discrimination on terrestrial substrates with airborne imaging spectroscopy
复制标题
利用机载成像光谱仪辨别陆地基质上的原油、石油产品和水
DOI：
--
复制
发表时间：
2011
期刊：
影响因子：
--
通讯作者：
M. Krekeler
中科院分区：
文献类型：
--
作者：
C. Allen;M. Krekeler
深水地平线爆炸和随后的沉没造成了美国历史上最大的石油泄漏。响应中最突出的部分之一是绘制石油已到达数千英里海岸线的范围。检测石油的最常见方法仍然是从机身目视观察，并辅以全色/多光谱航空摄影和卫星图像。虽然该图像提供了概要视图，但其区分水和碳氢化合物材料的能力通常不明确。通过利用光谱库进行材料识别和辨别，成像光谱学为更准确的石油检测和陆地背景下的水辨别提供了具体标准，从而补充了传统成像技术。本文将新的碳氢化合物底物光谱库应用于 2005 年卡特里娜飓风灾难的 SpecTIR HST-3 机载成像光谱数据。使用常见的材料识别算法，初步分析证明了高光谱数据在某些条件下对石油/水辨别的适用性和局限性。目前的工作也是石油底物库首次应用于成像光谱数据，并显示出监测深水地平线长期影响的潜力。
The Deepwater Horizon explosion and subsequent sinking produced the largest oil spill in U.S. history. One of the most prominent portions of the response is mapping the extent to which oil has reached thousands of miles of shoreline. The most common method of detecting oil remains visual spotting from airframes, supplemented by panchromatic / multispectral aerial photography and satellite imagery. While this imagery provides a synoptic view, it is often ambiguous in its ability to discriminate water from hydrocarbon materials. By employing spectral libraries for material identification and discrimination, imaging spectroscopy supplements traditional imaging techniques by providing specific criteria for more accurate petroleum detection and discrimination from water on terrestrial backgrounds. This paper applies a new hydrocarbon-substrate spectral library to SpecTIR HST-3 airborne imaging spectroscopy data from the Hurricane Katrina disaster in 2005. Using common material identification algorithms, this preliminary analysis demonstrates the applicability and limitations of hyperspectral data to petroleum/water discrimination in certain conditions. The current work is also the first application of the petroleum-substrate library to imaging spectroscopy data and shows potential for monitoring long term impacts of Deepwater Horizon.