Search Results - "Timo Sullivan"

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  1. 1

    Assessing the impacts of canopy openness and flight parameters on detecting a sub-canopy tropical invasive plant using a small unmanned aerial system by Perroy, Ryan L., Sullivan, Timo, Stephenson, Nathan

    “…Small unmanned aerial systems (sUAS) have great potential to facilitate the early detection and management of invasive plants. Here we show how very…”
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    Journal Article
  2. 2

    Automated Hyperspectral Feature Selection and Classification of Wildlife Using Uncrewed Aerial Vehicles by McCraine, Daniel, Samiappan, Sathishkumar, Kohler, Leon, Sullivan, Timo, Will, David J.

    Published in Remote sensing (Basel, Switzerland) (01-01-2024)
    “…Timely and accurate detection and estimation of animal abundance is an important part of wildlife management. This is particularly true for invasive species…”
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    Journal Article
  3. 3

    Examining the Utility of Visible Near-Infrared and Optical Remote Sensing for the Early Detection of Rapid ‘Ōhi‘a Death by Perroy, Ryan L., Hughes, Marc, Keith, Lisa M., Collier, Eszter, Sullivan, Timo, Low, Gabriel

    Published in Remote sensing (Basel, Switzerland) (07-06-2020)
    “…The early detection of plant pathogens at the landscape scale holds great promise for better managing forest ecosystem threats. In Hawai‘i, two recently…”
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    Journal Article
  4. 4

    Aerial Branch Sampling to Detect Forest Pathogens by Perroy, Ryan L, Meier, Philip, Collier, Eszter, Hughes, Marc A, Brill, Eva, Sullivan, Timo, Baur, Thomas, Buchmann, Nina, Keith, Lisa M

    Published in Drones (Basel) (01-09-2022)
    “…Diagnostic testing to detect forest pathogens requires the collection of physical samples from affected trees, which can be challenging in remote or rugged…”
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    Journal Article
  5. 5

    Spatial Patterns of ‘Ōhi‘a Mortality Associated with Rapid ‘Ōhi‘a Death and Ungulate Presence by Ryan L. Perroy, Timo Sullivan, David Benitez, R. Flint Hughes, Lisa M. Keith, Eva Brill, Karma Kissinger, Daniel Duda

    Published in Forests (01-08-2021)
    “…Effective forest management, particularly during forest disturbance events, requires timely and accurate monitoring information at appropriate spatial scales…”
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    Journal Article