Terrestrial Oil Spill Detection and Environmental Impact Monitoring using Multi-Source Earth Observation Data

利用多源地球观测数据进行陆地溢油检测和环境影响监测

• 批准号: RGPIN-2015-05027
• 负责人: Salehi, Bahram
• 金额: $ 1.11万
• 依托单位: Centre for Cold Ocean Resources Engineering
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2016
• 资助国家: 加拿大
• 起止时间: 2016-01-01 至 2017-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=613315
• 关键词: Terrestrial; Oil; Spill; Detection; Environmental

Concerns about terrestrial or land-based oil and waste water spills have increased considerably in the past several years in the areas such as Alberta, Canada. For example, in spring 2012, a pipeline leaked 9.5 million liters of industrial waste water, the North America’s biggest spill in recent history, about 20 kilometres of Northeast of Zama City in Northern Alberta [1]. Many ecologically important ecosystems including rivers, lakes, wetlands and vegetation areas are threatened by such spills. With increasing establishment of pipelines and shipment of oil by other means such as rail (Railway Association of Canada) and higher possibility of oil spills, there is an immediate need to develop methods for early detection of spill, extraction and delineation of impacted areas, and monitoring the effectiveness of remediation process. Remote sensing is a rapid and cost effective technology that can be utilized for oil spill detection and environmental impact monitoring.While the value of earth observation (EO) data has been well reported and operationally applied in the case of maritime spills, it has been much less applied for land-based events partially because of the perceived limitations in the utility of EO data and techniques for terrestrial spill mapping. The objective of this research program is to develop effective methods for detecting terrestrial oil/waste water spill and monitoring its impact on the environment using time-series (before and after the event) multi-source EO data including satellite-based high resolution optical, polarimetric synthetic aperture radar (SAR) and ground-based electromagnetic survey measurements. The proposed research will build on earlier works investigating object-based image analysis to use multi-source EO data. The proposed research will use SAR data provided by Canadian Space Agency (CSA) through the Science and Operational Application Research (SOAR) program acquired over a known spill site near Zama City in Alberta. This work will be performed by a PhD student to be recruited. The anticipated outcome will be a framework including image processing techniques for terrestrial oil/waste water spill detection, delineation of impacted area and monitoring of affected ecosystems using EO data. It, also, establishes a base for future research on oil and gas related activities monitoring using satellite-based EO techniques.

在过去几年中，在加拿大的阿尔伯塔等地区，对陆地或陆基石油和废水泄漏的关注大大增加。例如，在2012年春天，一条管道泄漏了950万升工业废水，这是北美近年来最大的泄漏事件，发生在阿尔伯塔北方的扎马市东北约20公里处[1]。许多具有重要生态意义的生态系统，包括河流、湖泊、湿地和植被区，都受到这种溢漏的威胁。随着越来越多地铺设管道和通过铁路等其他方式运输石油（加拿大铁路协会），以及石油泄漏的可能性越来越大，迫切需要制定方法，以便及早发现泄漏、提取和划定受影响地区，并监测补救进程的有效性。遥感是一种快速和具有成本效益的技术，可用于石油泄漏探测和环境影响监测，虽然地球观测（EO）数据的价值已得到很好的报道，并在海上溢油的情况下实际应用，它一直很少应用于陆地事件，部分原因是在EO数据和技术的效用为陆地溢油测绘的感知限制。该研究计划的目标是开发有效的方法，用于探测陆地石油/废水泄漏，并使用时间序列（事件之前和之后）多源EO数据，包括基于卫星的高分辨率光学，极化合成孔径雷达（SAR）和地面电磁测量监测其对环境的影响。拟议的研究将建立在早期的作品调查基于对象的图像分析，使用多源EO数据。拟议的研究将使用加拿大航天局（加空局）通过科学和业务应用研究（SOAR）方案提供的SAR数据，这些数据是在阿尔伯塔扎马市附近的一个已知泄漏地点获得的。这项工作将由一名博士生进行招聘。预期的成果将是一个框架，其中包括用于陆地石油/废水溢漏探测的图像处理技术、受影响地区的划定和使用EO数据监测受影响生态系统。它也为今后利用星载光电技术监测石油和天然气相关活动的研究奠定了基础。