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EarthCube Data Capabilities: QGreenland: Enabling Science through GIS

EarthCube Data Capabilities: QGreenland: Enabling Science through GIS
EarthCube 数据功能:QGreenland:通过 GIS 实现科学
批准号:
1928393
负责人:
Twila Moon
金额:
$103.02万
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:
2019-09-01 至 2024-08-31

项目摘要

项目成果

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中文摘要
翻译
QGreenland将创建一个跨学科的GIS数据环境,在开源QGIS平台上免费提供并随时可用。QGreenland旨在直接响应研究界的要求以及国际和美国机构确定的需求,将为科学研究和探索提供直接影响。QGreenland将改善研究数据共享,并使跨社区系统科学能够促进知识和合作。由于格陵兰对了解和预测全球气候的重要性,该项目具有更广泛的影响。格陵兰岛维持着大量的陆地冰,其未来将在很大程度上决定海平面上升的程度。QGreenland将通过提供以地球科学为重点但跨学科的专业格式化数据包来解决当前在线GIS平台和数据服务的局限性,这些数据包可在线或离线使用。QGreenland是仿照广泛使用的,获奖的Quanquartica软件包,由挪威极地研究所的项目合作者开发的南极地理信息系统软件包。基于QGIS,一个免费的,开源的,跨平台的地理信息系统环境作为基础软件,QGreenland将提供一个完整的地理信息系统环境中的原始质量数据的自由再分发包。将提供三层数据,包括网络服务数据集。国际编辑委员会和不同的项目合作者将帮助QGreenland团队确定关键的地理空间数据集,并作为QGreenland与美国,格陵兰岛和地球仪用户社区之间的双向连接器。QGreenland将提供可视化工具,个人GIS环境扩展,并探索跨地球科学,社会科学和建筑环境的系统科学。QGreenland也是一个即时的现场工具,具有完整的参考数据,可以在没有或有限的互联网接入的情况下使用。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
QGreenland will create an interdisciplinary GIS data environment that is freely available and ready-to-use on the open-source QGIS platform. Designed in direct response to requests from the research community and needs identified by international and U.S. agencies, QGreenland will provide immediate impact for scientific research and exploration. QGreenland will improve data sharing for research and enable cross-community system science to advance knowledge and collaboration. The project has broader impacts owing to the importance of Greenland in general for understanding and prediction global climate. Greenland sustains a massive amount of land ice, the future of which will significantly determine to what extent sea levels rise.QGreenland will address the limitations of current online GIS platforms and data services by providing a geoscience-focused but interdisciplinary package of professionally formatted data that is ready-to-use online or offline. QGreenland is modelled off of the widely used, award-winning Quantarctica package, an Antarctica GIS package developed by Project Collaborators at the Norwegian Polar Institute. Based on QGIS, a free, open-source, cross-platform GIS environment as the foundational software, QGreenland will offer a freely-redistributable package of original-quality data in a complete GIS environment. Three tiers of a data will be available, including web-served datasets. An international Editorial Board and diverse Project Collaborators will help the QGreenland Team identify key geospatial datasets and act as two-way connectors between QGreenland and user communities in the US, Greenland, and across the globe. QGreenland will provide a tool for visualization, individual GIS environment expansion, and to explore system science across geosciences, social sciences, and the built environment. QGreenland is also an instant in-field tool with a full set of reference data that can be used with no or limited internet access.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: GEO OSE Track 2: QGreenland-Net: Open, connected data infrastructure for Greenland-focused geoscience, and beyond
  • 批准号:
    2324765
  • 项目类别:
    Standard Grant
  • 资助金额:
    $98.6万
  • 财政年份:
    2024
  • 负责人:
    Twila Moon
  • 依托单位:
Conference: Improving the Greenland Data Ecosystem for Scientific Insight
  • 批准号:
    2230428
  • 项目类别:
    Standard Grant
  • 资助金额:
    $4.99万
  • 财政年份:
    2022
  • 负责人:
    Twila Moon
  • 依托单位:
Collaborative Research: Improving estimates of Greenland’s freshwater flux: Where do icebergs form and where do they melt?
  • 批准号:
    2052551
  • 项目类别:
    Standard Grant
  • 资助金额:
    $12.72万
  • 财政年份:
    2021
  • 负责人:
    Twila Moon
  • 依托单位:
Collaborative Research: EHR-Polar DCL: Polar Space and Place: Using GIS and interactive environments to bring polar science to the classroom
  • 批准号:
    2021503
  • 项目类别:
    Standard Grant
  • 资助金额:
    $20.04万
  • 财政年份:
    2020
  • 负责人:
    Twila Moon
  • 依托单位:
国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
Data-driven Recommendation System Construction of an Online Medical Platform Based on the Fusion of Information
Development of a Linear Stochastic Model for Wind Field Reconstruction from Limited Measurement Data
  • 批准号:
    --
  • 项目类别:
    --
  • 资助金额:
    40万元
  • 批准年份:
    2020
  • 负责人:
    Vikrant Gupta
  • 依托单位:
基于Linked Open Data的Web服务语义互操作关键技术
  • 批准号:
    61373035
  • 项目类别:
    面上项目
  • 资助金额:
    77.0万元
  • 批准年份:
    2013
  • 负责人:
    冯志勇
  • 依托单位: