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
- 来源:
- 关键词:
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) 使用对全球经济的影响估计约为 10 亿美元/天。 GPS 和由此产生的地理空间位置信息(即地理配准)为各种用户(包括制造商、系统集成商、服务提供商和最终用户)的多元化公司生态系统提供服务。这项技术在近几十年来呈爆炸式增长,私营部门取代了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。然而,由于商业和政府实体的技术和数据分析快速发展,这种扩散暴露了漏洞。由此产生的地理空间技术的发展和碎片化引发了对与 GPS 和地理配准相关的基础要素进行战略投资的需求。为了解决这个问题,我们向俄亥俄州立大学、普渡大学和圣路易斯大学提供资金,探索建立一个三地产学合作研究中心:环境精确地理配准中心(CAGE)。该中心将在潜在会员可能强烈感兴趣的三个相互关联的领域产生并传播新的基础知识。其中包括基于 GPS 和替代人工智能的导航和地图技术的基础研究,以推进商业创新所依赖的地理空间数据参考平台;完善并与行业合作,编纂和采用地理空间数据标准和最佳实践,以实现多传感器/多平台/多时态地理空间数据的获取等功能,以便不同的成员能够构建可互操作的系统;开发基于人工智能的新方法,用于根据不同的地理空间数据重建和标记物理位置/对象空间,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职员工和管理人员将与广泛的公共和私人实体合作,确定和讨论集体需求,目标是制定可行的研究路线图和相关研究重点,让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,并将确定对行业最重要的主题,并在此基础上创建一个可行的中心。这项工作的更广泛影响包括提高经济生产力以及整合使用或希望使用地理配准的经济部门;劳动力培训,学生参与由大学教师提出的行业相关、基础、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,重点是从服务不足的人群中招收和再培训学生;并向公众和 K-12 进行宣传。俄亥俄州立大学、普渡大学和圣路易斯大学联合提出的产学合作研究中心,如三站点中心,重点关注环境地理配准和地理空间技术及应用,是大学之间强有力的合作伙伴关系;私营部门;政府;非营利组织;和当地社区。这些中心作为联盟运作,大学教职员工和学生进行基础研究,以满足集体行业和社区的需求,项目的资金来自会员费和中心成员的其他财政捐款。在这个结构中,智力;基础设施;大学的学生人才专注于需要创新的经济领域关键利益的现实世界问题,以克服个别实体无法克服的概念和技术障碍。拟议的规划会议将汇集感兴趣的各方,听取原型中心领导层描述中心的价值主张以及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该中心制定研究路线图和研究主旨,以最好地解决该中心集体成员最紧迫的需求。该奖项反映了 NSF 的法定使命,并通过使用基金会的智力优点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
期刊论文数量(0)
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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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