Official ASME Group

Columbia Basin Section

Welcome to the Columbia Basin Section of ASME. The Columbia Basin Section covers 6 counties in Washington State (Kittitas, Yakima, Klickitat, Benton, Franklin, and Walla Walla). Check back for...
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News & Updates

  • Rapid Situational Awareness of Wildfire Events using Remote Sensing and AI

    The Columbia Basin Section invites you to a presentation on "Rapid Situational Awareness of Wildfire Events using Remote Sensing and AI" on Thursday, November 18th at 7pm.  The presentation will be given by Andre Coleman of PNNL.  Given the recent history of large wildfires in the area, this will be an interesting look at the future of fighting those fires.

    Over the past two decades, long-term trends indicate that wildfires in the U.S. are positively increasing in the total burned area. In 2020, California witnessed 5 of its 20 largest fires, and Colorado set state records with three of its largest fires in recorded history. Larger and more dynamic wildfire events increase costs, not only in fire suppression costs, but direct costs with property losses, and indirect costs with cleanup, lost business and tax revenue, and infrastructure repairs. Current wildfire management approaches are not keeping pace with larger and more dynamic fire events. PNNL is developing a wildfire detection module as part of its broader Rapid Analytics for Disaster Response (RADR) toolset, referred to as RADR-Fire. RADR-Fire provides an automated, end-to-end, cloud-based, open-data solution that retrieves and utilizes specialized imagery from numerous high-resolution (<30 m) earth observation satellites. The resulting products provide a time series of situational awareness on the active fire front, spot fires, scattered heat, post-burn intensity, and unburned areas, and are disseminated via a web application, mobile app, and web services for integration into existing operational systems and workflows.

    André Coleman has served as a senior research/data scientist at the Pacific Northwest National Laboratory (PNNL) in Richland, Washington, USA since 2000. He brings 26-years of professional experience in the fields of geoinformatics, hazard informatics, geointelligence, hydrology, bioenergy, and computer science. His specific research interests are in spatial and numerical modeling, rapid disaster assessments and disaster management, machine/deep learning and evolutionary computing, remote-sensing (satellite, airborne, UAS), heterogeneous data fusion, water security, hydrologic forecasting, snow hydrology, estuarine systems modeling and monitoring, spatiotemporal resource assessments, landscape characterization, high-performance computing, and coupling of geographic information system and physics-based numerical models. These research interests have been applied to many dozens of local, regional, national, and global scale environmental, hydrologic, climate, and energy-related projects.

    Topic: Rapid Situational Awareness of Wildfire Events using Remote Sensing and AI
    Time: Nov 18, 2021 07:00 PM Pacific Time (US and Canada)

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    Meeting ID: 882 0341 6026
    Passcode: 651838
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