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Showing 1 to 2 of 2 for “"tree identification"”.

  1. Inventorying trees in an urban landscape using small-footprint discrete return imaging lidar

    Automation of urban tree inventory using remote sensing is needed not only to reduce inventory costs but also to support carbon accounting for urban planners and policy-makers. However, urban areas are heterogeneous and complex, and a more sophisticated approach is needed for using remote-sensing …

    vt Repository record for Inventorying trees in an urban landscape using small-footprint discrete return imaging lidar (opens in a new tab)

  2. Tree-Level Forest Monitoring with Artificial Intelligence Using Neural Networks and High-Resolution Imagery

    Mapping and monitoring tree crowns provides vital information on the earth's changing climate. We can use tree measurements to quantify the biomass and stored carbon in a forest, we can use those measurements to inform plantation management on harvest cycles, we can even use tree measurements to …

    vt Repository record for Tree-Level Forest Monitoring with Artificial Intelligence Using Neural Networks and High-Resolution Imagery (opens in a new tab)