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Water resource management at catchment scales using lightweight UAVs: current capabilities and future perspectives
Author(s) -
Leon DeBell,
Karen Anderson,
Richard E. Brazier,
Nicholas King,
Lindsey Jones
Publication year - 2015
Publication title -
journal of unmanned vehicle systems
Language(s) - English
Resource type - Journals
ISSN - 2291-3467
DOI - 10.1139/juvs-2015-0026
Subject(s) - software deployment , computer science , systems engineering , context (archaeology) , process (computing) , resource (disambiguation) , scale (ratio) , key (lock) , environmental science , engineering , software engineering , biology , paleontology , computer network , physics , computer security , quantum mechanics , operating system
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.

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