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Showing 1 to 7 of 7 for “"wildfire detection"”.

  1. Early Wildfire Detection with Line Sensors

    <p>Over the last few years, wildfires have become more devastating to communities as the fires are inevitably destructive to many homes, businesses, and ecosystems. Frequent wildfires also pose a significant threat to power grids and nearby residents as they can damage transmission lines and other …

    calpoly Repository record for Early Wildfire Detection with Line Sensors (opens in a new tab)

  2. Deep learning for downscaling GOES-18 measurements for wildfire detection

    … thesis aims to address the challenge of accurate wildfire detection using satellite imagery. Despite the availability of various satellite-based fire products, real-time detection of fire perimeters remain difficult due to limitations in the spatio-temporal resolution of current satellite imagery. …

    colostate Repository record for Deep learning for downscaling GOES-18 measurements for wildfire detection (opens in a new tab)

  3. Applying tradespace exploration methods to remote sensing system of systems for wildfire detection and management

    In recent years the world has seen wildfires cause an increasing amount of damage and take more human lives. Studies have shown that this is a result of climate change, which is only going to get worse as time goes on. Currently, firefighting teams have limited access to technologies that could …

    mit Repository record for Applying tradespace exploration methods to remote sensing system of systems for wildfire detection and management (opens in a new tab)

  4. You Only Look Twice: An Ensemble Deep Learning Model for Wildfire Detection Using Terrestrial Camera Networks

    Wildfires represent a growing global threat that requires rapid detection and response to minimize environmental damage, economic losses, and human casualties. In the United States, California stands out as a particularly common wildfire hot spot. Recent fire seasons have shattered historical …

    mit Repository record for You Only Look Twice: An Ensemble Deep Learning Model for Wildfire Detection Using Terrestrial Camera Networks (opens in a new tab)

  5. Predicting the Likelihood and Scale of Wildfires in California using Meteorological and Vegetation Data

    <p>Wildfires have devastating ecological, environmental, economical, and public health impacts through the deterioration of water and air quality, CO2 emissions, property damage, and lung illnesses. The early detection and prevention of wildfires allow for the minimization of these risks. The use …

    arkansas Repository record for Predicting the Likelihood and Scale of Wildfires in California using Meteorological and Vegetation Data (opens in a new tab)

  6. Assessment of a Low Cost IR Laser Local Tracking Solution for Robotic Operations

    … missions, parcel handling/delivery, and wildfire detection/early warning systems. The boom of virtual reality experiences has accelerated the development of various low-cost, precision indoor tracking technologies. For the purpose of this thesis we choose to adapt the SteamVR Lighthouse …

    vt Repository record for Assessment of a Low Cost IR Laser Local Tracking Solution for Robotic Operations (opens in a new tab)

  7. Secure Networking and Efficient Computing in Unmanned Aerial Vehicle Assisted Green IoT Networks

    … in various applications such as smart cities, wildfire detection, military operations, and smart agriculture. UAVs, equipped with cameras, LiDAR, and radar, excel in providing remote sensing capability with high mobility and significant computational capacities. However, their effectiveness is …

    alabama Repository record for Secure Networking and Efficient Computing in Unmanned Aerial Vehicle Assisted Green IoT Networks (opens in a new tab)