Water resource management at catchment scales using lightweight UAVs: current capabilities and future perspectives

DOI Web Site Web Site 被引用文献2件
  • L. DeBell
    Environment and Sustainability Institute, University of Exeter, Penryn Campus, Penryn, Cornwall, UK
  • K. Anderson
    Environment and Sustainability Institute, University of Exeter, Penryn Campus, Penryn, Cornwall, UK
  • R.E. Brazier
    Department of Geography, College of Life and Environmental Sciences, University of Exeter, Exeter, UK
  • N. King
    QuestUAV, Unit 7B Coquetdale Enterprise Park, Amble, Northumberland, UK
  • L. Jones
    South West Water, Peninsula House, Rydon Lane, Exeter, Devon, UK

書誌事項

公開日
2016-03-01
権利情報
  • http://www.nrcresearchpress.com/page/about/CorporateTextAndDataMining
DOI
  • 10.1139/juvs-2015-0026
公開者
Canadian Science Publishing

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説明

<jats:p> Lightweight, portable unmanned aerial vehicles (UAVs) or ‘drones’ are set to become a key component of a water resource management (WRM) toolkit, but are currently not widely used in this context. In practical WRM there is a growing need for fine-scale responsive data, which cannot be delivered from satellites or aircraft in a cost-effective way. Such a capability is needed where water supplies are located in spatially heterogeneous dynamic catchments. In this review, we demonstrate the step change in hydrological process understanding that could be delivered if WRM employed UAVs. The paper discusses a range of pragmatic concepts in UAV science for cost-effective and practical WRM, from choosing the right sensor and platform combination through to practical deployment and data processing challenges. The paper highlights that multi-sensor approaches, such as combining thermal imaging with fine-scale structure-from-motion topographic models, are currently best placed to assist in WRM decision-making because they provide a means of monitoring the spatio-temporal distribution of sources, sinks, and flows of water through landscapes. The manuscript highlights areas where research is needed to support the integration of UAVs into practical WRM, for example, in improving positional accuracy through integration of differential global positioning system sensors, and developing intelligent control of UAV platforms to optimize the accuracy of spatial data capture. </jats:p>

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