![]() Key words: UAV, drone, water resource management, catchment, hydrology, spatial, temporal, Trol of UAV platforms to optimize the accuracy of spatial data capture. Integration of differential global positioning system sensors, and developing intelligent con. Gration of UAVs into practical WRM, for example, in improving positional accuracy through The manuscript highlights areas where research is needed to support the inte. Monitoring the spatio-temporal distribution of sources, sinks, and flows of water through Rently best placed to assist in WRM decision-making because they provide a means of The paper highlights that multi-sensor approaches, such as com-īining thermal imaging with fine-scale structure-from-motion topographic models, are cur. Range of pragmatic concepts in UAV science for cost-effective and practical WRM, fromĬhoosing the right sensor and platform combination through to practical deployment andĭata processing challenges. In this review, we demonstrate the step change in hydrological pro-Ĭess understanding that could be delivered if WRM employed UAVs. ![]() Such a capability is needed where water supplies are located in spatially heterogeneousĭynamic catchments. Responsive data, which cannot be delivered from satellites or aircraft in a cost-effective In practical WRM there is a growing need for fine-scale JonesĪbstract: Lightweight, portable unmanned aerial vehicles (UAVs) or ‘drones’ are set toīecome a key component of a water resource management (WRM) toolkit, but are currently Using lightweight UAVs: current capabilities and Water resource management at catchment scales Water resource management at catchment scales using lightweight UAVs: current capabilities and future perspectives 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. 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 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. In this review, we demonstrate the step change in hydrological process understanding that could be delivered if WRM employed UAVs. Such a capability is needed where water supplies are located in spatially heterogeneous dynamic catchments. 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. 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.
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