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Author Burke, C.; Rashman, M.; Wich, S.; Symons, A.; Theron, C.; Longmore, S. url  doi
openurl 
  Title Optimizing observing strategies for monitoring animals using drone-mounted thermal infrared cameras Type Journal Article
  Year 2019 Publication International Journal of Remote Sensing Abbreviated Journal (up) International Journal of Remote Sensing  
  Volume 40 Issue 2 Pages 439-467  
  Keywords  
  Abstract ABSTRACTThe proliferation of relatively affordable off-the-shelf drones offers great opportunities for wildlife monitoring and conservation. Similarly the recent reduction in the cost of thermal infrared cameras also offers new promise in this field, as they have the advantage over conventional RGB cameras of being able to distinguish animals based on their body heat and being able to detect animals at night. However, the use of drone-mounted thermal infrared cameras comes with several technical challenges. In this article, we address some of these issues, namely thermal contrast problems due to heat from the ground, absorption and emission of thermal infrared radiation by the atmosphere, obscuration by vegetation, and optimizing the flying height of drones for a best balance between covering a large area and being able to accurately image and identify animals of interest. We demonstrate the application of these methods with a case study using field data and make the first ever detection of the critically endangered riverine rabbit (Bunolagus monticularis) in thermal infrared data. We provide a web-tool so that the community can easily apply these techniques to other studies (http://www.astro.ljmu.ac.uk/aricburk/uav_calc/).  
  Address  
  Corporate Author Thesis  
  Publisher Taylor & Francis Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0143-1161 ISBN Medium  
  Area Expedition Conference  
  Notes doi: 10.1080/01431161.2018.1558372 Approved no  
  Call Number Equine Behaviour @ team @ Serial 6528  
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