Collaborative Proposal: EarthCube Integration: ICEBERG: Imagery Cyberinfrastructure and Extensible Building-Blocks to Enhance Research in the Geosciences

卫星图像正在迅速改变我们看待地球的方式，包括我们研究北极和南极最偏远地区的能力。卫星图像可以帮助我们绘制河流网络图，研究冰川流量和厚度的变化，识别岩石和土壤类型，甚至可以找到企鹅和海豹等动物。由于极地地区的图像在过去十年中迅速增加，我们现在面临着一个挑战：我们如何将卫星图像带来的科学发现扩大到更大的空间范围？从小型先导研究转向对地质和生物过程的泛北极或泛南极分析，需要新的基础设施来连接科学家、卫星图像和高性能计算机。这条新的图像计算高速公路将使科学家更容易在比以前可能的更大的空间尺度上研究过程。该项目名为冰山-图像网络基础设施和增强地球科学研究的可扩展积木，旨在建立充分利用卫星图像用于地球科学所需的网络基础设施，从极地地区的研究人员开始，然后扩展到更大的非极地社区。这一建议的更广泛影响包括培养本科生和研究生以及青年和女性科学家。此外，这一拟议的网络基础设施带来的科学发现将立即对我们预测极地地区未来动态的能力产生好处，并将对北极和南极资源的管理至关重要。极地地球科学正处于一场革命的边缘，这场革命是由尖端分析工具、PB级高分辨率图像和不断增长的高性能计算资源的融合而成的。有了这些手头的工具，我们就可以超越对极地地区理解的渐进改进。如果我们创建那些关键的网络基础设施组件，使地球科学界能够利用现有资产，并为可复制的成像科学建立一个共同的工作流程，那么大陆规模的地质和生物重要性的近实时数据集就在我们的触手可及之处。这一建议的研究目标是了解极地地区在迄今为止单个个人PI无法达到的空间尺度上的生物、地质和水文功能，并开发可在全球应用的图像科学工具。由此产生的网络基础设施，我们称之为冰山-图像网络基础设施和可扩展构建块，以加强地球科学研究，是一个可扩展的系统，用于将开源图像分析工具与高性能和分布式计算(HPDC)的使用相结合，用于图像使能的地球科学研究。我们提出了一个一体化项目，以(1)开发针对北极和南极的高分辨率卫星图像而量身定做的开源图像分类工具，以用于HPDC资源；(2)创建易于使用的界面，以促进针对特定应用的地球科学要求的算法的开发和测试；(3)通过跨越极地社区的生物、水文和地球科学需求的用例来应用这些工具；(4)将这些工具转移到更大的非极地社区。

Satellite imagery is rapidly transforming the way we see the planet, including our ability to study the most remote parts of the Arctic and Antarctic. Satellite imagery can help us map networks of rivers, study changes in the flow and thickness of glaciers, identify rock and soil types, and even find animals like penguins and seals. Because the availability of imagery in polar areas has increased rapidly over the last decade, we are now faced with a challenge: How do we scale-up the scientific discoveries that have been enabled by satellite imagery to larger spatial scales? Moving from small pilot-studies to pan-Arctic or pan-Antarctic analyses of geological and biological processes requires new infrastructure to link scientists, satellite imagery, and high performance computers. This new imagery-computing superhighway will make it easier for scientists to study processes at much larger spatial scales than has been previously possible. The project, called ICEBERG - Imagery Cyberinfrastructure and Extensible Building-Blocks to Enhance Research in the Geosciences, aims to build the cyberinfrastructure required to make the most of satellite imagery for geosciences, starting with researchers working in polar areas, and then branching out to the larger non-polar community. The Broader Impacts of this proposal include the training of undergraduate and graduate students, as well as young and female scientists. Moreover, the scientific findings enabled by this proposed cyberinfrastructure will have immediate benefits for our ability to predict the future dynamics of the polar regions, and will be critical to the management of Arctic and Antarctic resources.Polar geosciences stands at the precipice of a revolution, one enabled by the confluence of cutting edge analytical tools, petabytes of high-resolution imagery, and an ever growing array of high performance computing resources. With these tools at hand, we can look beyond incremental improvements in our understanding of the polar regions. Near-real time datasets of geological and biological importance at the continental scale are within our reach if we create those critical cyberinfrastructure components that allow the geosciences community to exploit existing assets and establish a common workflow for reproducible imagery-enabled science. The research objective of this proposal is to understand the biological, geological, and hydrological functioning of the polar regions at spatial scales heretofore beyond the reach of individual PIs, and to develop tools for imagery-enabled science that can be applied globally. The resulting cyberinfrastructure, which we call ICEBERG - Imagery Cyberinfrastructure and Extensible Building-Blocks to Enhance Research in the Geosciences, is an extensible system for coupling open-source image analysis tools with the use of high performance and distributed computing (HPDC) for imagery-enabled geoscience research. We propose an Integration project to (1) develop open source image classification tools tailored to high-resolution satellite imagery of the Arctic and Antarctic to be used on HPDC resources, (2) create easy-to-use interfaces to facilitate the development and testing of algorithms for application specific geoscience requirements, (3) apply these tools through use cases that span the biological, hydrological, and geoscience needs of the polar community, (4) transfer these tools to the larger non-polar community.