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

合作提案:EarthCube 集成:ICEBERG:图像网络基础设施和可扩展构建模块,以加强地球科学研究

基本信息

  • 批准号:
    1740572
  • 负责人:
  • 金额:
    $ 62.28万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2017
  • 资助国家:
    美国
  • 起止时间:
    2017-10-01 至 2022-09-30
  • 项目状态:
    已结题

项目摘要

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: To move from small pilot-studies to pan-Arctic or pan-Antarctic analyses of geological and biological processes requires new infrastructures that link scientists, satellite imagery, and fast computing. 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 community. The Broader Impacts of this proposal include the training of undergraduate and graduate students, as well as young investigators 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 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 a 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.
卫星图像正在迅速改变我们看到地球的方式,包括我们研究北极和南极最偏远部分的能力。卫星图像可以帮助我们绘制河流网络,研究冰川的流量和厚度的变化,识别岩石和土壤类型,甚至找到企鹅和密封件等动物。由于在过去十年中,极地地区的图像的可用性迅速增加,因此我们现在面临着一个挑战:从小型飞行员研究转变为地质和生物过程的泛阿尔克或泛抗性分析,需要将科学家,卫星图像和快速计算的新基础架构联系起来。该项目称为冰山 - 网络基础设施和可扩展的建筑块,以增强地球科学的研究,旨在建立所需的网络基础设施,以充分利用地球科学的卫星图像,从在极地工作的研究人员开始,然后向更大的社区进行分支。该提案的更广泛影响包括对本科生和研究生的培训以及年轻的研究人员和女科学家。此外,这项提出的网络基础设施实现的科学发现将对我们预测极地地区未来动态的能力有直接的好处,并且对北极和南极资源的管理至关重要。极地地球科学站在一场革命的悬崖上,这是由尖端分析工具的汇合,高分辨率图像的之前以及一系列高性能计算资源越来越多。有了这些工具,我们可以超越对极地区域的理解超越增量的改进。如果我们创建那些允许地球科学社区利用现有资产并建立可重复具有成像科学的共同工作流程的关键网络基础设施组件,那么在大陆规模上的地质和生物学重要性的近乎真实的时间数据集就在我们的范围内。该提案的研究目标是了解在空间尺度上,迄今为止,在单个PI的范围之外,在空间尺度上的生物学,地质和水文功能,并开发了可以在全球应用图像科学的工具。我们称之为冰山的网络基础设施 - 网络基础结构和可扩展的建筑块,以增强地球科学的研究,是一个可扩展的系统,用于将开放式图像分析工具与使用高性能和分布式计算(HPDC)用于成像可增强的地球科学研究。 We propose a 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较大的非极性社区。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

暂无数据

数据更新时间:2024-06-01

Shantenu Jha的其他基金

Collaborative Research: OAC Core: Smart Surrogates for High Performance Scientific Simulations
合作研究:OAC Core:高性能科学模拟的智能替代品
  • 批准号:
    2212549
    2212549
  • 财政年份:
    2022
  • 资助金额:
    $ 62.28万
    $ 62.28万
  • 项目类别:
    Standard Grant
    Standard Grant
Elements: RADICAL-Cybertools: Middleware Building Blocks for NSF's Cyberinfrastructure Ecosystem.
元素: RADICAL-Cyber​​tools:NSF 网络基础设施生态系统的中间件构建块。
  • 批准号:
    1931512
    1931512
  • 财政年份:
    2020
  • 资助金额:
    $ 62.28万
    $ 62.28万
  • 项目类别:
    Standard Grant
    Standard Grant
More Power to the Many: Scalable Ensemble-based Simulations and Data Analysis
为更多人提供更多力量:可扩展的基于集成的模拟和数据分析
  • 批准号:
    1713749
    1713749
  • 财政年份:
    2017
  • 资助金额:
    $ 62.28万
    $ 62.28万
  • 项目类别:
    Standard Grant
    Standard Grant
Collaborative Research: Campus Compute Cooperative (CCC) Planning Grant Proposal
协作研究:校园计算合作社 (CCC) 规划拨款提案
  • 批准号:
    1748197
    1748197
  • 财政年份:
    2017
  • 资助金额:
    $ 62.28万
    $ 62.28万
  • 项目类别:
    Standard Grant
    Standard Grant
EarthCube Building Blocks: Collaborative Proposal: The Power of Many: Ensemble Toolkit for Earth Sciences
EarthCube 构建模块:协作提案:多人的力量:地球科学集成工具包
  • 批准号:
    1639694
    1639694
  • 财政年份:
    2016
  • 资助金额:
    $ 62.28万
    $ 62.28万
  • 项目类别:
    Standard Grant
    Standard Grant
Collaborative Research: The Power of Many: Scalable Compute and Data-Intensive Science on Blue Waters
协作研究:多人的力量:蓝水域的可扩展计算和数据密集型科学
  • 批准号:
    1516469
    1516469
  • 财政年份:
    2015
  • 资助金额:
    $ 62.28万
    $ 62.28万
  • 项目类别:
    Standard Grant
    Standard Grant
EarthCube RCN: Collaborative Research: Research Coordination Network for High-Performance Distributed Computing in the Polar Sciences
EarthCube RCN:协作研究:极地科学高性能分布式计算的研究协调网络
  • 批准号:
    1542110
    1542110
  • 财政年份:
    2015
  • 资助金额:
    $ 62.28万
    $ 62.28万
  • 项目类别:
    Standard Grant
    Standard Grant
Collaborative Research: Designing and Assessing Effective "Hands-On" Training for Computational Science
协作研究:设计和评估有效的计算科学“实践”培训
  • 批准号:
    1546668
    1546668
  • 财政年份:
    2015
  • 资助金额:
    $ 62.28万
    $ 62.28万
  • 项目类别:
    Standard Grant
    Standard Grant
SI2-SSE: RADICAL Cybertools: Scalable, Interoperable and Sustainable Tools for Science
SI2-SSE:RADICAL Cyber​​tools:可扩展、可互操作且可持续的科学工具
  • 批准号:
    1440677
    1440677
  • 财政年份:
    2015
  • 资助金额:
    $ 62.28万
    $ 62.28万
  • 项目类别:
    Standard Grant
    Standard Grant
Collaborative Research: Streaming and Steering Applications: Requirements and Infrastructure (October 1-3, 2015)
合作研究:流媒体和转向应用:要求和基础设施(2015 年 10 月 1-3 日)
  • 批准号:
    1549516
    1549516
  • 财政年份:
    2015
  • 资助金额:
    $ 62.28万
    $ 62.28万
  • 项目类别:
    Standard Grant
    Standard Grant

相似国自然基金

指向提议者的共情关怀对第三方惩罚行为的影响:心理、脑与计算机制
  • 批准号:
    32371102
  • 批准年份:
    2023
  • 资助金额:
    50 万元
  • 项目类别:
    面上项目
经济博弈中提议者对先前第三方干预者的分配公平性研究
  • 批准号:
  • 批准年份:
    2020
  • 资助金额:
    24 万元
  • 项目类别:
    青年科学基金项目
基于深度层次特征相似性度量的视觉跟踪方法研究
  • 批准号:
    61773397
  • 批准年份:
    2017
  • 资助金额:
    65.0 万元
  • 项目类别:
    面上项目
构造类型专家系统及其开发工具的研究
  • 批准号:
    68875006
  • 批准年份:
    1988
  • 资助金额:
    2.0 万元
  • 项目类别:
    面上项目

相似海外基金

EarthCube Data Capabilities: Collaborative Proposal: Reducing Time-To-Science in the Earth Sciences: Annotations to foster convergence, inclusion, and credit
EarthCube 数据功能:协作提案:缩短地球科学的科学时间:促进融合、包容和信用的注释
  • 批准号:
    2246427
    2246427
  • 财政年份:
    2022
  • 资助金额:
    $ 62.28万
    $ 62.28万
  • 项目类别:
    Standard Grant
    Standard Grant
EarthCube Data Capabilities: Collaborative Proposal: Reducing Time-To-Science in the Earth Sciences: Annotations to foster convergence, inclusion, and credit
EarthCube 数据功能:协作提案:缩短地球科学的科学时间:促进融合、包容和信用的注释
  • 批准号:
    1928341
    1928341
  • 财政年份:
    2019
  • 资助金额:
    $ 62.28万
    $ 62.28万
  • 项目类别:
    Standard Grant
    Standard Grant
EarthCube Data Capabilities: Collaborative Proposal: Assimilative Mapping of Geospace Observations
EarthCube 数据能力:协作提案:地理空间观测同化制图
  • 批准号:
    1928327
    1928327
  • 财政年份:
    2019
  • 资助金额:
    $ 62.28万
    $ 62.28万
  • 项目类别:
    Standard Grant
    Standard Grant
EarthCube Science-Enabling Data Capabilities: Collaborative Proposal: Extending Ocean Drilling Pursuits [eODP]: Microfossils and Stratigraphy
EarthCube 科学支持数据能力:协作提案:扩展海洋钻探研究 [eODP]:微化石和地层学
  • 批准号:
    1928362
    1928362
  • 财政年份:
    2019
  • 资助金额:
    $ 62.28万
    $ 62.28万
  • 项目类别:
    Standard Grant
    Standard Grant
EarthCube Data Capabilities: Collaborative Proposal: Reducing Time-To-Science in the Earth Sciences: Annotations to foster convergence, inclusion, and credit
EarthCube 数据功能:协作提案:缩短地球科学的科学时间:促进融合、包容和信用的注释
  • 批准号:
    1928320
    1928320
  • 财政年份:
    2019
  • 资助金额:
    $ 62.28万
    $ 62.28万
  • 项目类别:
    Standard Grant
    Standard Grant