PFI: Information Products Laboratory for Emergency Response
PFI:应急响应信息产品实验室
基本信息
- 批准号:0917839
- 负责人:
- 金额:$ 60万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2009
- 资助国家:美国
- 起止时间:2009-08-01 至 2014-07-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
This Partnerships for Innovation (PFI) project--a Type II (A:B) partnership between the Rochester Institute of Technology (RIT), an NSF PFI graduate (0090569), and SUNY at Buffalo (UB), which hosted a NSF ERC (9701471)-- is focused on innovation in disaster management, with specific goals of developing disaster management tools based on remote sensing research and geospatial analysis technology. The three-tiered disaster management approach: disaster planning, disaster response, and disaster recovery is ripe for innovation through integrated knowledge and technology transfer efforts among university researchers, technology companies, and public sector responders. RIT brings extensive experience in basic and applied remote sensing research, a history of collaboration with local emergency response and emergency providers, and a special expertise in fire detection and fire behavior to the partnership. UB team members bring expertise in geospatial analysis of a variety of natural and man-made disasters, including fire and floods. Both universities have strong policy components. The integrated team will apply a systems engineering approach to define user needs in disaster management, perform targeted research and development of disaster management products, and form a sustainable infrastructure for knowledge and technology transfer.The two primary academic institutional components, RIT and UB, will leverage their collective experience to create a laboratory and resource, the Information Products Laboratory for Emergency Response (IPLER), to broaden the participation of all types of entities along the spectrum of disaster management. The IPLER will facilitate economic development by establishing and maintaining a continuous dialogue between the developers and providers of technologies and the people who use them in disaster response. The diffusion of technologies will improve the prevention and mitigation of disasters in the United States and lead to innovative tools for response and recovery with societal benefit. Students at RIT and UB will be actively engaged in the targeted research and will be uniquely qualified to contribute to disaster management research, development, and response. The IPLER is designed to grow and will incorporate new members from the academic, public, and private sectors. The outcomes of the IPLER include potentially life-saving innovations and will be broadly disseminatedPartners at the inception of the project are Academic Institutions: Rochester Institute of Technology (lead institution), and SUNY at Buffalo; Private Sector Organizations: DigitalGlobe, ImageCat, Kucera International, and Pictometry International; Local, State and Federal Government Entities: Monroe County Office of Emergency Management; New York State Foundation for Science, Technology, and Innovation (NYSTAR), New York State Office of Homeland Security, and US Forest Service, Remote Sensing and Applications Center..
这一创新伙伴关系(PFI)项目-一个由罗切斯特理工学院(RIT)、一个NSF PFI毕业生(0090569)和纽约州立大学布法罗分校(UB)主办的NSF ERC(9701471)之间的第二类(A:B)伙伴关系-侧重于灾害管理方面的创新,具体目标是在遥感研究和地理空间分析技术的基础上开发灾害管理工具。通过大学研究人员、技术公司和公共部门响应者之间的综合知识和技术转让努力,三级灾害管理方法:灾害规划、灾害响应和灾害恢复已经成熟,可以进行创新。RIT在基础和应用遥感研究方面拥有丰富的经验,与当地应急响应和应急服务提供商合作的历史,以及在火灾探测和火灾行为方面的特殊专业知识。 UB团队成员带来了对各种自然和人为灾害(包括火灾和洪水)进行地理空间分析的专业知识。 这两所大学都有很强的政策组成部分。 该综合小组将采用系统工程方法确定灾害管理的用户需求,进行有针对性的灾害管理产品的研究和开发,并形成知识和技术转移的可持续基础设施。两个主要的学术机构组成部分,RIT和UB,将利用他们的集体经验创建一个实验室和资源,即应急响应信息产品实验室(IPLER),扩大各类实体沿着灾害管理的参与范围。IPLER将通过建立和保持技术开发者和提供者与在救灾中使用技术的人之间的持续对话,促进经济发展。技术的传播将改善美国的防灾和减灾工作,并产生具有社会效益的应对和恢复创新工具。RIT和UB的学生将积极参与有针对性的研究,并将有资格为灾害管理研究,开发和响应做出贡献。IPLER的目的是增长,并将纳入来自学术,公共和私营部门的新成员。IPLER的成果包括可能拯救生命的创新,并将广泛传播。该项目开始时的合作伙伴是学术机构:罗切斯特理工学院(牵头机构)和纽约州立大学布法罗分校;私营部门组织:DigitalGlobe、ImageCat、Kucera International和Pictometry International;地方、州和联邦政府实体:门罗县应急管理办公室;纽约州科学、技术和创新基金会(NYSTAR)、纽约州国土安全局和美国林务局遥感和应用中心。
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)
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Jan van Aardt其他文献
A Simulation-Based Approach to Assess Subpixel Vegetation Structural Variation Impacts on Global Imaging Spectroscopy
基于模拟的方法来评估亚像素植被结构变化对全球成像光谱的影响
- DOI:
10.1109/tgrs.2018.2827376 - 发表时间:
2018 - 期刊:
- 影响因子:8.2
- 作者:
W. Yao;Jan van Aardt;Martin van Leeuwen;D. Kelbe;Paul Romanczyk - 通讯作者:
Paul Romanczyk
Testing the acoustic adaptation hypothesis with native and introduced birds in Hawaiian forests
用夏威夷森林中的本地和引进鸟类测试声学适应假说
- DOI:
- 发表时间:
2018 - 期刊:
- 影响因子:1.3
- 作者:
E. Sebastián‐González;Jan van Aardt;Kevin Sacca;J. M. Barbosa;D. Kelbe;P. Hart - 通讯作者:
P. Hart
Enhancing snap bean yield prediction through synergistic integration of UAS-Based LiDAR and multispectral imagery
通过基于无人机的激光雷达和多光谱图像的协同集成来提高刀豆产量预测
- DOI:
10.1016/j.compag.2025.109923 - 发表时间:
2025-03-01 - 期刊:
- 影响因子:8.900
- 作者:
Fei Zhang;Amirhossein Hassanzadeh;Peter Letendre;Julie Kikkert;Sarah Pethybridge;Jan van Aardt - 通讯作者:
Jan van Aardt
Corn grain and silage yield class prediction for zone delineation using high-resolution satellite imagery
使用高分辨率卫星图像进行区域划分的玉米粒和青贮饲料产量等级预测
- DOI:
- 发表时间:
2024 - 期刊:
- 影响因子:6.6
- 作者:
S. Sunoj;Benjamin Polson;Isha Vaish;Manuel Marcaida;Louis Longchamps;Jan van Aardt;Q. Ketterings - 通讯作者:
Q. Ketterings
Maize grain and silage yield prediction of commercial fields using high-resolution UAS imagery
使用高分辨率 UAS 图像预测商业田的玉米籽粒和青贮饲料产量
- DOI:
10.1016/j.biosystemseng.2023.09.010 - 发表时间:
2023 - 期刊:
- 影响因子:5.1
- 作者:
S. Sunoj;Benjamin Yeh;Manuel Marcaida III;Louis Longchamps;Jan van Aardt;Q. Ketterings - 通讯作者:
Q. Ketterings
Jan van Aardt的其他文献
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{{ truncateString('Jan van Aardt', 18)}}的其他基金
PFI-RP: Fostering Agricultural ReMote Sensing (FARMS) - use of unmanned aerial systems to enable precision agriculture.
PFI-RP:促进农业遥感 (FARMS) - 使用无人机系统实现精准农业。
- 批准号:
1827551 - 财政年份:2018
- 资助金额:
$ 60万 - 项目类别:
Standard Grant
AIR: Consortium for 3D Innovation (C3I)
AIR:3D 创新联盟 (C3I)
- 批准号:
1127728 - 财政年份:2011
- 资助金额:
$ 60万 - 项目类别:
Standard Grant
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