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Planning: FIRE-PLAN: Community Building Toward an Immersive Forest Network to Catalyze Wildland Fire Solutions and Training

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
负责人:
Ilkay Altintas
金额:
$19.97万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2023
资助国家:
美国
项目状态:
未结题
起止时间:
2023-10-01 至 2025-09-30

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中文摘要
翻译
积极应对野火危机的一种方法是通过规定的火灾等植被处理来提高景观的恢复能力。规定火灾的结果在很大程度上取决于燃料结构。然而,目前许多火灾模型仅限于二维数据源,并且还提供二维输出,不能捕获重要的火灾动力学。火灾模型和管理正在发生一个关键的转变:从二维(2D)到三维(3D)火灾建模工具的转变。这一规划工作为传感路径和工作流程奠定了基础,从而在大空间范围和精细空间尺度上改进燃料的表征,从而增强火灾在建模和预测中的代表性。燃料和火灾模型的沉浸式可视化将在加利福尼亚州圣地亚哥的世界设计之都2024展馆中分享。不同利益相关者之间的一系列会议为科学数据的实时、沉浸式可视化和这些数据集的人工智能准备铺平了道路,这些数据集面向与野火管理(包括规定火灾)相关的培训、决策和公共沟通的新模式。总体而言,该项目旨在:(1)确定模型中燃料结构表示的当前差距;(2)对从现场数据收集到燃料和火灾模型再到建模输出可视化的工作流程进行原型设计;(3)构建具有不同社区的真实用例;(4)规划全国范围的沉浸式森林和荒地火灾管理网络。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。
英文摘要
One way to proactively address the wildfire crisis is by increasing the resilience of our landscapes through vegetation treatments such as prescribed fires. The outcomes of a prescribed fire depend largely on fuel structure. Yet, many fire models currently are limited to two-dimensional sources of data, and also provide two-dimensional outputs that do not capture important fire dynamics. A key shift is underway in fire models and management: a shift from two-dimensional (2D) to three-dimensional (3D) fire modeling tools. This planning effort lays the foundation for sensing pathways and workflows to improve the characterization of fuels at large spatial extents and fine spatial scales to enhance the representation of fire in modeling and forecasting. Immersive visualizations of fuel and fire modeling will be shared at the World Design Capital 2024 Pavilion in San Diego, California. A series of meetings among a diverse set of stakeholders paves the way for real-time, immersive visualization of scientific data and the AI-readiness of these datasets toward new modes of training, decision making, and public communication related to wildland fire management, including prescribed fires. Overall, the project aims to: (1) identify current gaps in fuel structure representation in models, (2) prototype a workflow from field data collection to fuel and fire models to visualizations of modeling outputs, (3) build real-world use cases with diverse communities, and (4) plan for a national-scale Immersive Forest and Wildland Fire Management Network.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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Student and Early Career Support: 23rd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid 2023)
  • 批准号:
    2317547
  • 项目类别:
    Standard Grant
  • 资助金额:
    $2.5万
  • 财政年份:
    2023
  • 负责人:
    Ilkay Altintas
  • 依托单位:
National Data Platform Pilot: Services for Equitable Open Access to Data
  • 批准号:
    2333609
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $599.92万
  • 财政年份:
    2023
  • 负责人:
    Ilkay Altintas
  • 依托单位:
Collaborative Research: CyberTraining: Implementation: Medium: FOUNT: Scaffolded, Hands-On Learning for a Data-Centric Future
  • 批准号:
    2230081
  • 项目类别:
    Standard Grant
  • 资助金额:
    $17.5万
  • 财政年份:
    2022
  • 负责人:
    Ilkay Altintas
  • 依托单位:
NSF Convergence Accelerator – Track D: Artificial Intelligence and Community Driven Wildland Fire Innovation via a WIFIRE Commons Infrastructure for Data and Model Sharing
  • 批准号:
    2134904
  • 项目类别:
    Cooperative Agreement
  • 资助金额:
    $500.0万
  • 财政年份:
    2021
  • 负责人:
    Ilkay Altintas
  • 依托单位:
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