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CHARACTERIZATION OF HAZARDOUS ICE USING RADARSAT-2 AND ICE PROFILING SONAR

机译:雷达拉德2和冰轮廓声纳的危险冰的特征

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Ice can pose a hazard for operations (e.g., transportation, shipping, surveillance, offshore oil and gas exploration) and for infrastructure (e.g., ports, pipelines, offshore structures). There is an increasing need for fine-scale characterization of hazardous ice conditions. This information is of interest to many stakeholders including industry and government agencies. Spaceborne SAR sensors are being used for near-real-time monitoring of the regional ice conditions. Satellite-derived sea ice information products typically rely on the interpretation of ice analysts, sometimes supported by semi-automated tools. However, validation of data products remains a challenge due to limited or no ground truth. Operated from subsurface moorings located below the sea ice canopy, the ULS instrumentation, consisting of the ASL Ice Profiling Sonar (IPS) and the Acoustic Doppler Current Profiler (ADCP), provides accurate measurements of ice draft on a continuous basis and allow detailed characterization of potentially hazardous ice features, e.g., large keels, hummocky ice, multi-year ice, episodes of large internal ice pressures, and glacial ice. In this work, our objective was to calibrate and validate satellite-based ice data products using continuous measurements obtained from ULS instruments. We focused on the development of techniques to integrate high resolution polarimetric RADARSAT-2 imagery and corresponding ULS datasets to characterize hazardous ice. The results include paired satellite and ULS datasets; calibration and validation of algorithms for hazardous ice detection and satellite-based ice draft estimation.
机译:冰可以对操作造成危害(例如,运输,运输,监控,海上石油和天然气勘探)和基础设施(例如,港口,管道,海上结构)。越来越需要危险冰条件的细尺表征。这些信息对包括工业和政府机构在内的许多利益相关者感兴趣。 Spablanborne SAR传感器用于近实时监测区域冰条件。卫星衍生的海冰信息产品通常依赖于冰分析师的解释,有时由半自动工具支持。然而,由于有限或没有地面真理,数据产品的验证仍然是一个挑战。从位于海冰冠层下方的地下停泊处操作,ULS仪器,由ASL冰轮廓SONAR(IPS)和声学多普勒电流分析器(ADCP)组成,可连续提供冰汇目的准确测量,并允许详细表征潜在危险的冰功能,例如大龙骨,海拔冰,多年冰,大型内部冰压和冰川冰。在这项工作中,我们的目标是使用从ULS仪器获得的连续测量来校准和验证基于卫星的冰数据产品。我们专注于整合高分辨率偏振雷达拉特 - 2图像的技术和相应的ULS数据集以表征危险冰的技术。结果包括配对卫星和ULS数据集;危险冰探测算法校准与验证基于卫星的冰草稿估计。

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