IUCRC Proposal Planning Grant, Saint Louis University: Center for Accurate Georeferencing of the Environment (CAGE)

IUCRC 提案规划拨款,圣路易斯大学:环境精确地理配准中心 (CAGE)

基本信息

  • 批准号:
    2113870
  • 负责人:
  • 金额:
    $ 2万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2021
  • 资助国家:
    美国
  • 起止时间:
    2021-06-01 至 2023-05-31
  • 项目状态:
    已结题

项目摘要

The global economic impact of Global Positioning System (GPS) use is estimated at ~$1B/day. GPS and resulting geospatial location information (i.e., georeferencing) serves a diverse ecosystem of companies across the spectrum of users including manufacturers, system integrators, service providers, and end users. It is a technology that has exploded in recent decades with the private sector superseding the historic dominance of U.S. federal agencies in geospatial technology development and deployment. However, this proliferation has revealed vulnerabilities due rapidly advancing technology and data analytics for both commercial and government entities. The resulting evolution and fragmentation of geospatial technologies has precipitated a need for strategic investment in foundational elements related to GPS and georeferencing. To address this issue, funding is being provided for The Ohio State University, Purdue University, and Saint Louis University to explore the formation of a three-Site industry-university cooperative research center: The Center for Accurate Georeferencing of the Environment (CAGE). The Center will generate and disseminate new foundational knowledge in three interrelated areas of potential strong interest to prospective Members. These include foundational research on GPS-based and alternative AI-based navigation and mapping technologies to advance geospatial data referencing platforms upon which commercial innovation depends; refine and work with industry to codify and adopt geospatial data standards and best practices for functions such as acquisition of multi-sensor/multi-platform/multi-temporal geospatial data such that diverse members will be able to build interoperable systems; and develop new AI-based methods for the reconstruction and labelling of physical locations/object space from diverse geospatial data will unlock significant potential for geospatial data analytics. Through a Center planning meeting, The Ohio State University, Purdue University, and Saint Louis University faculty and administrators will engage a broad spectrum of public and private entities to identify and discuss collective needs with the goal of creating a viable research roadmap and associated research thrusts in which partners are willing to participate and invest. Topics and potential Center research thrusts will be discussed at the meeting, and those of highest importance to industry will be identified upon which a viable Center can be created. Broader impacts of the work include increased economic productivity and integration of the economic sectors that use or wish to use georeferencing; workforce training where students participate in industry-relevant, basic, pre-competitive research projects proposed by university faculty; the engagement of underrepresented groups via various partnerships with institutional entities focused in recruiting and retraining students from underserved populations; and outreach to the public and K-12. Industry-university cooperative research centers, like the three-Site Center jointly proposed to be focused on georeferencing in the environment and geospatial techniques and applications by The Ohio State University, Purdue University, and Saint Louis University are powerful partnerships between universities; the private sector; government; non-profits; and local communities. These Centers operate as consortia where university faculty and students perform fundamental research that addresses collective industry and community needs and where projects are funded by membership fees and other financial contributions from Center members. In this construct, the intellectual power; infrastructure; and student talent of universities is focused on real world problems of critical interest of a segment of the economy in need of innovation to overcome conceptual and technological hurdles that individual entities are unable to overcome themselves. The planning meeting proposed will bring together interested parties to hear proto-Center leadership describe the Center’s value proposition and potential return-on-investment of those entities wishing to become members of the Center. Those at the planning meeting will also help the Center create a research road map and research thrusts that best address the most pressing needs of the collective membership in the Center.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.
全球定位系统(GPS)的使用对全球经济的影响估计约为每天10亿美元。GPS和由此产生的地理空间定位信息(即地理参考)服务于各种不同的生态系统,包括制造商、系统集成商、服务提供商和最终用户。近几十年来,随着私营部门取代美国联邦机构在地理空间技术开发和部署方面的历史主导地位,这项技术出现了爆炸式增长。然而,由于商业和政府实体快速发展的技术和数据分析,这种扩散暴露了漏洞。由此产生的地理空间技术的演变和碎片化促使需要对与全球定位系统和地理参考相关的基本要素进行战略投资。为了解决这一问题,俄亥俄州立大学、普渡大学和圣路易斯大学正获得资金,以探索建立一个由三所大学组成的产学研合作研究中心:环境精确地理参考中心(CAGE)。该中心将在三个相互关联的领域产生和传播新的基础知识,这些领域可能会引起潜在会员的强烈兴趣。其中包括基于gps和替代人工智能的导航和测绘技术的基础研究,以推进商业创新所依赖的地理空间数据参考平台;完善和与业界合作,编纂和采用地理空间数据标准和最佳实践,如获取多传感器/多平台/多时间地理空间数据,使不同的成员能够建立可互操作的系统;并开发新的基于人工智能的方法,用于从不同的地理空间数据中重建和标记物理位置/对象空间,这将释放地理空间数据分析的巨大潜力。通过中心规划会议,俄亥俄州立大学、普渡大学和圣路易斯大学的教师和管理人员将与广泛的公共和私营实体接触,以确定和讨论集体需求,目标是制定一个可行的研究路线图和相关的研究重点,合作伙伴愿意参与和投资。会议将讨论主题和潜在的中心研究重点,并确定对行业最重要的主题和重点,从而建立一个可行的中心。这项工作的更广泛影响包括提高经济生产力和使使用或希望使用地理参考的经济部门一体化;劳动力培训,让学生参与由大学教师提出的与行业相关的、基础的、竞争前的研究项目;通过与机构实体的各种伙伴关系,让代表性不足的群体参与进来,重点从服务不足的人群中招募和再培训学生;向公众和K-12教育推广。产学合作研究中心,如俄亥俄州立大学、普渡大学和圣路易斯大学联合提出的专注于环境和地理空间技术与应用的三站点中心,是大学之间强有力的伙伴关系;私营部门;政府;非营利组织;还有当地社区。这些中心以财团的形式运作,大学教师和学生在这里进行基础研究,解决集体行业和社区的需求,项目由中心成员的会员费和其他财政捐款资助。在这个结构中,智力;基础设施;大学的学生才能集中在现实世界的问题上,这些问题对需要创新来克服个体实体无法克服的概念和技术障碍的经济部门至关重要。计划会议将召集有关各方,听取中心原型领导描述中心的价值主张和希望成为中心成员的实体的潜在投资回报。参加规划会议的人员还将帮助中心制定研究路线图和研究重点,以最好地解决中心全体成员最紧迫的需求。该奖项反映了美国国家科学基金会的法定使命,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。

项目成果

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Vasit Sagan其他文献

Optical and Thermal Remote Sensing for Monitoring Agricultural Drought
光学和热遥感监测农业干旱
  • DOI:
    10.3390/rs13245092
  • 发表时间:
    2021-12
  • 期刊:
  • 影响因子:
    5
  • 作者:
    Qiming Qin;Zihua Wu;Tianyuan Zhang;Vasit Sagan;Zhaoxu Zhang;Yao Zhang;Chengye Zhang;Huazhong Ren;Yuanheng Sun;Wei Xu;Cong Zhao
  • 通讯作者:
    Cong Zhao
Spectral enhancement of PlanetScope using Sentinel-2 images to estimate soybean yield and seed composition
利用哨兵-2 图像对 PlanetScope 进行光谱增强以估算大豆产量和种子成分
  • DOI:
    10.1038/s41598-024-63650-3
  • 发表时间:
    2024-07-01
  • 期刊:
  • 影响因子:
    3.900
  • 作者:
    Supria Sarkar;Vasit Sagan;Sourav Bhadra;Felix B. Fritschi
  • 通讯作者:
    Felix B. Fritschi

Vasit Sagan的其他文献

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