NSF Convergence Accelerator – Track D: Artificial Intelligence and Community Driven Wildland Fire Innovation via a WIFIRE Commons Infrastructure for Data and Model Sharing
NSF 融合加速器 — 轨道 D:通过 WIFIRE 共享基础设施实现数据和模型共享,人工智能和社区驱动的野地火灾创新
基本信息
- 批准号:2134904
- 负责人:
- 金额:$ 500万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Cooperative Agreement
- 财政年份:2021
- 资助国家:美国
- 起止时间:2021-10-01 至 2024-09-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
A century of suppressing wildfires has created a dangerous accumulation of flammable vegetation on landscapes, contributing to megafires that risk human life and property, and permanently destroy ecosystems. Small controllable fires can dramatically reduce the risk of large fires that are uncontrollable. BurnPro3D is a decision support platform to help the fire response and mitigation community understand risks and tradeoffs quickly and accurately to more effectively manage wildfires or conduct controlled burns. To achieve this vision, this project is developing specific AI innovations to: (i) Use knowledge management techniques to fuse data coming from diverse sources and prepare it for fire modeling; (ii) Conduct physics-based machine learning within next-generation fire models to use deep learning to understand complex processes that drive fire behavior; (iii) Apply constraint optimization methods to address complex tradeoffs in the decision process for the placement and timing of controlled burns; (iv) Employ explainable AI to increase the interpretability of data and models by diverse users all along the decision-making chain.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.
世纪来对野火的压制造成了易燃植被在景观上的危险积累,助长了危及人类生命和财产的特大火灾,并永久破坏了生态系统。可控的小型火灾可以大大降低无法控制的大型火灾的风险。BurnPro 3D是一个决策支持平台,可帮助火灾响应和缓解社区快速准确地了解风险和权衡,以更有效地管理野火或进行受控燃烧。为了实现这一愿景,该项目正在开发具体的人工智能创新:(i)使用知识管理技术融合来自不同来源的数据,并为火灾建模做好准备;(ii)在下一代火灾模型中进行基于物理的机器学习,以使用深度学习来理解驱动火灾行为的复杂过程; ㈢采用约束最优化方法,以解决受控燃烧的位置和时间决定过程中的复杂权衡问题;(iv)采用可解释的人工智能,以增加数据和模型的可解释性,由不同的用户在整个决策过程中沿着-该奖项反映了NSF的法定使命,并被认为是值得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的支持。
项目成果
期刊论文数量(8)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Synthetic Forest Stands and Point Clouds for Model Selection and Feature Space Comparison
- DOI:10.3390/rs15184407
- 发表时间:2023-09
- 期刊:
- 影响因子:0
- 作者:Michelle S. Bester;Aaron E. Maxwell;Isaac Nealey;Michael R. Gallagher;N. Skowronski;Brenden E. McNeil
- 通讯作者:Michelle S. Bester;Aaron E. Maxwell;Isaac Nealey;Michael R. Gallagher;N. Skowronski;Brenden E. McNeil
TrueTrees: A Scalable Workflow for the Integration of Airborne LiDAR Scanning Data into Fuel Models for Prescribed Fire Simulations
TrueTrees:可扩展的工作流程,用于将机载 LiDAR 扫描数据集成到燃料模型中以进行规定的火灾模拟
- DOI:10.1109/e-science58273.2023.10254923
- 发表时间:2023
- 期刊:
- 影响因子:0
- 作者:Roten, Daniel;Wells, Lucas;Crawl, Daniel;Parsons, Russell A.;Marcozzi, Anthony;Linn, Rodman R.;Hiers, Kevin;Altintas, Ilkay
- 通讯作者:Altintas, Ilkay
Automating the Evaluation of Datasets for FAIR and CARE Principles
自动评估数据集的公平和关怀原则
- DOI:10.1109/e-science58273.2023.10254897
- 发表时间:2023
- 期刊:
- 影响因子:0
- 作者:Yete, Rujula;Purawat, Shweta;Perez, Ismael;Crawl, Daniel L.;Altintas, Ilkay
- 通讯作者:Altintas, Ilkay
Visualization and Labeling of Terrestrial LiDAR Data for Three-Dimensional Fuel Classification
用于三维燃料分类的地面激光雷达数据的可视化和标记
- DOI:10.1109/e-science58273.2023.10254841
- 发表时间:2023
- 期刊:
- 影响因子:0
- 作者:Moreno, Ivannia Gomez;Nealey, Isaac;Roten, Daniel;Nguyen, Mai H.;Crawl, Daniel;O'Laughlin, Kate;Floca, Melissa;Pokswinski, Scott;Altintas, Ilkay
- 通讯作者:Altintas, Ilkay
Terrestrial Laser Scan Metrics Predict Surface Vegetation Biomass and Consumption in a Frequently Burned Southeastern U.S. Ecosystem
地面激光扫描指标可预测经常被烧毁的美国东南部生态系统的地表植被生物量和消耗
- DOI:10.3390/fire6040151
- 发表时间:2023
- 期刊:
- 影响因子:0
- 作者:Loudermilk, Eva Louise;Pokswinski, Scott;Hawley, Christie M.;Maxwell, Aaron;Gallagher, Michael R.;Skowronski, Nicholas S.;Hudak, Andrew T.;Hoffman, Chad;Hiers, John Kevin
- 通讯作者:Hiers, John Kevin
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Ilkay Altintas其他文献
Sex Differences in the Variability of Physical Activity Measurements Across Multiple Timescales Recorded by a Wearable Device: Observational Retrospective Cohort Study
可穿戴设备记录的多时间尺度下身体活动测量变异性的性别差异:观察性回顾性队列研究
- DOI:
10.2196/66231 - 发表时间:
2025-01-01 - 期刊:
- 影响因子:6.000
- 作者:
Kristin J Varner;Lauryn Keeler Bruce;Severine Soltani;Wendy Hartogensis;Stephan Dilchert;Frederick M Hecht;Anoushka Chowdhary;Leena Pandya;Subhasis Dasgupta;Ilkay Altintas;Amarnath Gupta;Ashley E Mason;Benjamin L Smarr - 通讯作者:
Benjamin L Smarr
Correction: Variability of temperature measurements recorded by a wearable device by biological sex
- DOI:
10.1186/s13293-023-00568-x - 发表时间:
2023-11-13 - 期刊:
- 影响因子:5.100
- 作者:
Lauryn Keeler Bruce;Patrick Kasl;Severine Soltani;Varun K. Viswanath;Wendy Hartogensis;Stephan Dilchert;Frederick M. Hecht;Anoushka Chowdhary;Claudine Anglo;Leena Pandya;Subhasis Dasgupta;Ilkay Altintas;Amarnath Gupta;Ashley E. Mason;Benjamin L. Smarr - 通讯作者:
Benjamin L. Smarr
Ilkay Altintas的其他文献
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{{ truncateString('Ilkay Altintas', 18)}}的其他基金
Student and Early Career Support: 23rd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid 2023)
学生和早期职业支持:第 23 届 IEEE/ACM 国际集群、云和互联网计算研讨会 (CCGrid 2023)
- 批准号:
2317547 - 财政年份:2023
- 资助金额:
$ 500万 - 项目类别:
Standard Grant
National Data Platform Pilot: Services for Equitable Open Access to Data
国家数据平台试点:公平开放数据访问服务
- 批准号:
2333609 - 财政年份:2023
- 资助金额:
$ 500万 - 项目类别:
Continuing Grant
Planning: FIRE-PLAN: Community Building Toward an Immersive Forest Network to Catalyze Wildland Fire Solutions and Training
规划:FIRE-PLAN:建立沉浸式森林网络的社区,以促进荒地火灾解决方案和培训
- 批准号:
2341120 - 财政年份:2023
- 资助金额:
$ 500万 - 项目类别:
Standard Grant
Collaborative Research: CyberTraining: Implementation: Medium: FOUNT: Scaffolded, Hands-On Learning for a Data-Centric Future
协作研究:网络培训:实施:媒介:FOUNT:支架式实践学习,打造以数据为中心的未来
- 批准号:
2230081 - 财政年份:2022
- 资助金额:
$ 500万 - 项目类别:
Standard Grant
NSF Convergence Accelerator Track D: Artificial Intelligence and Community Driven Wildland Fire Innovation via a WIFIRE Commons Infrastructure for Data and Model Sharing
NSF 融合加速器轨道 D:通过 WIFIRE 共享基础设施实现数据和模型共享,人工智能和社区驱动的野地火灾创新
- 批准号:
2040676 - 财政年份:2020
- 资助金额:
$ 500万 - 项目类别:
Standard Grant
Collaborative Research: Framework: Software: NSCI : Computational and Data Innovation Implementing a National Community Hydrologic Modeling Framework for Scientific Discovery
合作研究:框架:软件:NSCI:计算和数据创新实施国家社区水文建模框架以促进科学发现
- 批准号:
1835855 - 财政年份:2018
- 资助金额:
$ 500万 - 项目类别:
Standard Grant
Hazards SEES Type 2: WIFIRE: A Scalable Data-Driven Monitoring, Dynamic Prediction and Resilience Cyberinfrastructure for Wildfires
Hazards SEES 类型 2:WIFIRE:可扩展的数据驱动型野火监控、动态预测和弹性网络基础设施
- 批准号:
1331615 - 财政年份:2013
- 资助金额:
$ 500万 - 项目类别:
Continuing Grant
EAGER: Interoperability Testbed - Assessing a Layered Architecture for Integration of Existing Capabilities
EAGER:互操作性测试台 - 评估用于集成现有功能的分层架构
- 批准号:
1239623 - 财政年份:2012
- 资助金额:
$ 500万 - 项目类别:
Standard Grant
ABI Development: bioKepler: A Comprehensive Bioinformatics Scientific Workflow Module for Distributed Analysis of Large-Scale Biological Data
ABI 开发:bioKepler:用于大规模生物数据分布式分析的综合生物信息学科学工作流程模块
- 批准号:
1062565 - 财政年份:2011
- 资助金额:
$ 500万 - 项目类别:
Continuing Grant
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