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Showing 1 to 3 of 3 for “"Wildfire risk assessment"”.

  1. Wildfire Risk Assessment Using Convolutional Neural Networks and Modis Climate Data

    <p>Wildfires burn millions of acres of land each year leading to the destruction of homes and wildland ecosystems while costing governments billions in funding. As climate change intensifies drought volatility across the Western United States, wildfires are likely to become increasingly severe. …

    calpoly Repository record for Wildfire Risk Assessment Using Convolutional Neural Networks and Modis Climate Data (opens in a new tab)

  2. Improving Tree Crown Mapping using Airborne LiDAR with Genetic Algorithms

    … carbon inventories; fuel estimations for wildfire risk assessment and management. These mapping efforts use individual tree crown (ITC) recognition algorithms applied to LiDAR point clouds, which have complex parameter sets. Genetic algorithms (GA) have been demonstrated to be excellent …

    unr Repository record for Improving Tree Crown Mapping using Airborne LiDAR with Genetic Algorithms (opens in a new tab)

  3. Data-Driven Approaches for Enhancing Power Grid Reliability

    … thesis pivots to a crucial safety concern: the risk and vulnerability of power system to wildfires. This study presents a comprehensive data-driven framework that integrates a robust wildfire spread simulator and power flow analysis to assess metrics such as risk and vulnerability associated …

    denver Repository record for Data-Driven Approaches for Enhancing Power Grid Reliability (opens in a new tab)