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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植被处理(如规定的火灾)来提高我们景观的恢复力。预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,其不捕获重要的火灾动态。火灾模型和管理正在发生关键转变: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,以改善燃料在大空间范围和精细空间尺度上的表征,从而增强火灾在建模和预测中的代表性。燃料和火灾建模的沉浸式可视化将在加州圣地亚哥的世界设计之都2024展馆分享。不同利益相关者之间的一系列会议为科学数据的实时,沉浸式可视化以及这些数据集的人工智能准备铺平了道路,这些数据集将用于与荒地火灾管理相关的新模式的培训,决策和公共沟通,包括规定的火灾。总体而言,该项目旨在:(1)识别模型中燃料结构表示的当前差距,(2)原型化从现场数据收集到燃料和火灾模型到建模输出的可视化的工作流程,(3)构建具有不同社区的真实世界用例,(4)制定全国性的计划,该奖项反映了NSF的法定使命,并通过使用基金会的智力价值和更广泛的影响审查标准。
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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