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Drones address an observational blind spot for biological oceanography

期刊

FRONTIERS IN ECOLOGY AND THE ENVIRONMENT
卷 20, 期 7, 页码 413-421

出版社

WILEY
DOI: 10.1002/fee.2472

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资金

  1. National Aeronautics and Space Administration (NASA) Future Investigators in NASA Earth and Space Science and Technology (FINESST)
  2. Terrestrial Ecology program
  3. Ocean Biology and Biogeochemistry program

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Marine biological communities exhibit dynamic multi-scale complexity, requiring observation and modeling techniques that can capture these complexities. Small aerial drones have the potential to bridge the gap between satellite resolutions and in-situ sampling, but face challenges in optical oceanography, logistics, and regulations. Despite these obstacles, advancements in techniques and best practices are emerging, enabling drones to complement conventional approaches in capturing the spatiotemporal complexity of the marine environment.
Marine biological communities are dynamic across many scales in both space and time. Such multi-scale complexity complicates efforts to fully characterize these communities. Critical processes unfold on the order of 0.1-10 kilometers and 0.1-10 days, but conventional oceanographic techniques generally do not observe or model at this scale. Small aerial drones conveniently achieve scales of observation between satellite resolutions and in-situ sampling, and effectively diminish the blind spot between these established measurement techniques. Despite this promise, drone-based techniques face challenges inherent to optical oceanography, as well as logistical and regulatory barriers relating to both aerial and marine operations. Such obstacles have slowed adoption of drones for marine biological study, but best practices are emerging alongside new techniques that facilitate robust study designs and rigorous data collection. With such advancements, drones promise to complement conventional approaches in biological oceanography to more fully capture the spatiotemporal complexity of the marine environment.

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