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Google Earth and Google Fusion Tables in support of time-critical collaboration: Mapping the deepwater horizon oil spill with the AVIRIS airborne spectrometer

机译:Google Earth和Google Fusion Tables支持时间紧迫的协作:使用AVIRIS机载光谱仪绘制深水地平线漏油图

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摘要

Web interfaces have made remote sensing image resources more accessible and interactive. However, many web-based and Digital Earth opportunities for remote sensing have not yet been fully explored and could greatly facilitate scientific collaboration. In many cases, these resources can augment traditional proprietary software packages, which can have limited flexibility, spatiotemporal controls, and data synthesis abilities. In this paper, we discuss how web services and Google Earth were used for time-critical geovisualizations of the NASA Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) Deepwater Horizon oil spill imaging campaign. In particular, we describe how (1) AVIRIS Google Earth products were used to visualize the spatial and temporal characteristics of the campaign’s image acquisitions, critically needed for flight planning, (2) the Google Fusion Table cloud-based service was applied to create a highly-interactive image archive and mapping display, and (3) the Google Fusion Table API was utilized to create a flexible PHP-based interface for metadata creation and as the basis for an interactive data catalog. Although there are other possible software and programming approaches to these activities, we highlight freely-accessible and flexible solutions and bring attention to the newly introduced Google Fusion Tables as a collaborative scientific platform.
机译:Web界面使遥感图像资源更易于访问和交互。但是,许多基于网络和数字地球的遥感机会尚未得到充分探索,并且可以大大促进科学合作。在许多情况下,这些资源可以增强传统的专有软件包,这些软件包可能具有有限的灵活性,时空控制和数据合成能力。在本文中,我们讨论了如何将网络服务和Google Earth用于NASA机载可见/红外成像光谱仪(AVIRIS)的Deepwater Horizo​​n溢油成像活动的时间紧迫的地理可视化。特别是,我们描述(1)如何使用AVIRIS Google Earth产品可视化广告活动图像获取的时空特性,这对于飞行计划至关重要,(2)基于Google Fusion Table云的服务用于创建广告系列高交互性的图像存档和映射显示,以及(3)利用Google Fusion Table API创建了一个基于PHP的灵活接口,用于创建元数据并作为交互式数据目录的基础。尽管还有其他可能的软件和编程方法可用于这些活动,但我们着重介绍了可自由访问且灵活的解决方案,并将注意力引入了新推出的Google Fusion Tables作为协作式科学平台。

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