NNA Track 1: Collaborative Research: The Permafrost Discovery Gateway: Navigating the new Arctic tundra through Big Data, artificial intelligence, and cyberinfrastructure
NNA Track 1: Collaborative Research: The Permafrost Discovery Gateway: Navigating the new Arctic tundra through Big Data, artificial intelligence, and cyberinfrastructure
批准号:
1927729
负责人:
Kenton McHenry
金额:
$64.81万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2019
资助国家:
美国
项目状态:
已结题
起止时间:
2019-11-01 至 2024-10-31
中文摘要
新北极航行(NNA)是NSF的十大创意之一。NNA项目解决快速变化的北极地区的趋同科学挑战。北极研究需要为国家、更大地区和地球仪的经济、安全和复原力提供信息。NNA授权从地方到国际规模的新研究伙伴关系,使下一代北极研究人员多样化,并整合知识的共同生产。这个奖项实现了这一目标的一部分。永久冻土层是指至少连续两年保持冻结状态的地面。它发生在大约四分之一的北方陆地表面之下。在遥远的北方,永久冻土层在整个景观中是连续的,在其上部几米处含有大量的冰。近几十年来,在北极的几个地方观察到了永久冻土的融化,但永久冻土退化的完整程度尚未得到描述。这是因为很难直接测量永久冻土。然而,永久冻土的存在和健康状况可以从地表特征中推断出来。例如,通过30米宽的冰楔多边形的存在,可以从详细的卫星图像中检测到永久冻土。重要的是要检测永久冻土融化的地区,以确定依赖坚实地面基础的基础设施面临的挑战。该项目正在开发永久冻土发现网关,这是一个在线平台,使公众更容易获得和共享永久冻土信息。公众包括工业、非营利组织以及在北极生活和工作的人。未来的劳动力发展包括培训遥感技术方面的研究生和博士后。五名早期职业研究人员是首席研究员。K-12教育社区正在接收虚拟资源,以帮助他们与永久冻土探索网关进行互动。此外,一个合作艺术展、一个互动数字故事和一个在线地球艺术画廊正在向公众展示北极景观。这些工具使不同技术背景的人们能够与整个北极的永久冻土知识进行互动。该项目为美国的经济、安全和恢复力提供了信息,更大的区域和地球仪的北极变化。该项目的主要目标是开发辅助性网络基础设施,以利用高分辨率卫星图像提供的信息。这种方法正在推进对整个北极地区永久冻土退化的理解。该项目是:(1)利用现有的大图像,(2)完善和开发新的基于机器和深度学习技术的自动遥感分类工具,(3)将制图工具应用于北极卫星图像,(4)使永久冻土地图产品和工具公开访问,以及(5)通过与永久冻土发现网关用户设计的可视化和分析工具实现发现。该项目正在制定一个网络基础设施框架,其中也包括现有的北极地图产品。这个框架,沿着一个参与的用户社区,使研究人员能够更好地量化整个北极地区永久冻土退化的空间范围。还正在评估对永久冻土退化的潜在控制(天气、地形、植被、土壤特性)。永久冻土发现网关有助于确保更广泛的研究社区获得信息,并鼓励围绕北极永久冻土知识建立新的伙伴关系。该奖项反映了NSF的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
Navigating the New Arctic (NNA) is one of NSF's 10 Big Ideas. NNA projects address convergence scientific challenges in the rapidly changing Arctic. The Arctic research is needed to inform the economy, security and resilience of the Nation, the larger region and the globe. NNA empowers new research partnerships from local to international scales, diversifies the next generation of Arctic researchers, and integrates the co-production of knowledge. This award fulfills part of that aim.Permafrost is ground that remains frozen for at least two consecutive years. It occurs under approximately one fourth of the northern hemisphere's land surface. In the far north, the permafrost is continuous across the landscape and contains large amounts of ice in its upper few meters. Thawing of permafrost has been observed at several locations across the Arctic in recent decades, yet the complete extent of permafrost degradation is not yet described. This is because it is difficult to directly measure permafrost. However, the presence and health of permafrost can be inferred from characteristic ground surface features. For example, permafrost can be detected from detailed satellite images through the presence of 30-meter-wide ice-wedge polygons. It is important to detect areas with thawing permafrost to identify challenges for infrastructure that depend on a foundation of solid ground. This project is developing the Permafrost Discovery Gateway, an online platform that makes permafrost information more accessible and discoverable by the public. The public includes industry, non-profit organizations, and people living and working in the Arctic. Future workforce development includes the training of graduate students and postdocs in remote sensing technology. Five early career researchers are the lead investigators. The K-12 education community are receiving virtual resources to help them interact with the Permafrost Discovery Gateway. In addition, a collaborative art exhibition, an interactive digital story, and an online Earth as Art gallery are displaying Arctic landscapes to the general public. These tools enable diverse peoples of different technical backgrounds to interact with permafrost knowledge across the entire Arctic. This project informs the economy, security, and resilience of the U.S., the larger region, and the globe with respect to Arctic change. The main goal of this project is to develop supporting cyberinfrastructure to harness information from high-resolution satellite imagery. This approach is advancing the understanding of permafrost degradation across the entire Arctic. This project is: (1) utilizing existing Big Imagery, (2) refining and developing new automated remote sensing classification tools based on machine and deep learning techniques, (3) applying the mapping tools to Arctic satellite imagery, (4) making permafrost map products and tools publicly accessible, and (5) enabling discovery through visualization and analysis tools designed with users of the Permafrost Discovery Gateway. The project is producing a cyberinfrastructure framework that also includes existing Arctic map products. This framework, along with an engaged user community, is allowing researchers to better quantify the spatial extent of permafrost degradation across the Arctic. Potential controls (weather, topography, vegetation, soil properties) on permafrost degradation are also being evaluated. The Permafrost Discovery Gateway helps ensure information access to the broader research community and encourage new partnerships around knowledge of Arctic permafrost.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
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会议论文
Collaborative Research: Frameworks: DeCODER (Democratized Cyberinfrastructure for Open Discovery to Enable Research)
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批准号:2209863
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项目类别:Continuing Grant
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资助金额:$90.06万
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财政年份:2022
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负责人:Kenton McHenry
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依托单位:
Collaborative Research: CSSI: Framework: Data: Clowder Open Source Customizable Research Data Management, Plus-Plus
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批准号:1835834
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项目类别:Standard Grant
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资助金额:$375.2万
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财政年份:2018
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负责人:Kenton McHenry
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依托单位:
Collaborative Research: ABI Development: The PEcAn Project: A Community Platform for Ecological Forecasting
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批准号:1457890
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项目类别:Standard Grant
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资助金额:$34.33万
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财政年份:2015
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负责人:Kenton McHenry
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依托单位:
CIF21 DIBBs: Brown Dog
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批准号:1261582
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项目类别:Cooperative Agreement
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资助金额:$1051.97万
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财政年份:2013
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负责人:Kenton McHenry
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依托单位:
Collaborative Proposal: ABI Innovation: Model-data synthesis and forecasting across the upper Midwest: Partitioning uncertainty and environmental heterogeneity in ecosystem carbon
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批准号:1062547
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项目类别:Continuing Grant
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资助金额:$66.67万
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财政年份:2011
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负责人:Kenton McHenry
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依托单位:
EAGER: Digging into Image Data to Answer Authorship Related Questions
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批准号:1039385
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项目类别:Standard Grant
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资助金额:$10.0万
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财政年份:2010
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负责人:Kenton McHenry
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依托单位:
海外基金