This three-year Project Grant from the National Science Foundation supports research into wildland fire observation, management, and evacuation systems. With $144,967 in funding, the award will develop intelligent collaborative flying and ground systems to aid in monitoring, responding to, and evacuating areas threatened by wildfires. The awardee is the University Corporation for Atmospheric Research, operating through its National Center for Atmospheric Research facility in Boulder, Colorado....
The National Science Foundation awarded a $150,000 Project Grant to the National Center for Atmospheric Research (NCAR) under the Computer and Information Science and Engineering program (CFDA 47.070). The award will support development of a closed-loop sensing, modeling, and communications system to aid in wildfire detection, mapping, and prediction from July 2022 through June 2025. The system aims to leverage detailed 3D environmental models incorporating fuel, terrain, weather and other...
The National Science Foundation awarded a $1,049,087 project grant under the Computer and Information Science and Engineering program (CFDA 47.070) to the University of California, Irvine for the period July 1, 2022 to June 30, 2025. The project aims to develop a network of airborne drones and wireless sensors to aid in wildfire localization and mapping, near-term prediction of fire progression, and providing communications support for firefighters. Key aspects include leveraging detailed 3D...
The National Science Foundation awarded a $100,000 Project Grant to the University of California, Berkeley under the NSF Technology, Innovation, and Partnerships program (CFDA 47.084) to develop context-specific scientific simulation models and an advanced visualization platform to mitigate wildfire risks. The award period is from July 1, 2022 to June 30, 2023. Specifically, the University will create an integrated simulation framework capturing the dynamics of wildfire evacuation, including...
The National Science Foundation (NSF) awarded a $1,850,000 Project Grant under the Computer and Information Science and Engineering program (CFDA 47.070) to Georgia State University Research Foundation Inc. to develop a community sensing, planning, and learning infrastructure to support smart and safe prescribed burning for rangeland and wildland urban interface communities. The project integrates research on multi-scale sensing and data fusion, data-driven burn condition modeling, grassland...
The National Science Foundation Division of Computer and Network Systems awarded Syracuse University a $536,983 project grant under the Computer and Information Science and Engineering program (CFDA 47.070). The grant supports collaborative research on integrating autonomous unmanned aircraft systems in wildland fire management from January 1, 2022 to December 31, 2025. The Computer and Information Science and Engineering program aims to advance computing, communications, and information science...
The National Science Foundation (NSF) awarded a $889,209 Project Grant under the Geosciences Program (CFDA 47.050) to the University of California, Irvine (UC Irvine) to advance wildfire science, prediction, and management using machine learning. The key products and services to be delivered include: Developing a large new public dataset of fire-related environmental observations to support large-scale machine learning and reproducible research on wildfire spread modeling. Advancing innovative...
The University of Utah received a $100,000 project grant award from the National Science Foundation Division of Chemical, Bioengineering, Environmental, and Transport Systems federal grant program titled Engineering (CFDA #47.041). Through this award, the University will undertake research to better understand and predict complex wind-driven wildfire propagation patterns using dynamical systems theory. Specifically, the University aims to uncover coherent patterns in wind data that could provide...
This $400,000 two-year Project Grant from the National Science Foundation's Division of Chemical, Bioengineering, Environmental, and Transport Systems will fund research at Worcester Polytechnic Institute to better understand the role of non-steady winds on wildfire spread. Specifically, the award will support examination of the physical mechanisms by which gusting winds interact with flame-driven wildfire spread and firebrand spotting. Novel imaging methods will also be used to measure these...
This Project Grant from the National Science Foundation Division of Chemical, Bioengineering, Environmental, and Transport Systems provides $284,564 to develop an advanced optical sensor using background-oriented schlieren tomography to characterize wildfire dynamics. Funded under the NSF Engineering program (CFDA 47.041), the research aims to perform time-resolved, volumetric measurements of wildfire combustion processes through a physics-informed closure for tomographic reconstruction. The...