Effective flood risk management strategies require a detailed understanding of the source, extent and impact of flooding. Unmanned Aerial Vehicles (UAVs) enable detailed and accurate data collection that can be used to determine flood source, extent, impact and the presence of property level flood resistance measures. This paper draws on the practical experience of the authors including the use of UAVs during flood events. We highlight the potential uses of UAVs in flood risk management activities and the associated challenges. The impact of a flooding event will also be dependent on how well an area is prepared in terms of community and property level resistance and resilience measures. We have looked at potential reasons why there is not a greater uptake of property level resistance and resilience measures. It is clear that a standardised approach is required if UAVs are to fulfil their potential within flood risk management activities. We have identified five pillars of standardisation that underpin an overarching, purpose-driven, cost-effective systems-based approach to the use of UAVs in flood risk management. These are as follows: (P1) deployment, data collection and flight-related regulatory requirements; (P2) data processing, data merging and outputs; (P3) the introduction and use of innovative approaches and technological integration; (P4) use of outputs for public engagement and (P5) policy development and governance. We consider that the proposed approach will maximise cost-effective information gathering, standardise the way processed outcomes are generated and provide the basis for comparable and robust flood risk information that is based on a single coherent methodology.

有效的洪水风险管理策略需要详细了解洪水的来源，程度和影响。无人机（UAV）能够进行详细而准确的数据收集，可用于确定洪水的来源，范围，影响和财产级别的抗洪措施。本文借鉴了作者的实际经验，包括在洪水事件中使用无人机。我们重点介绍了无人机在洪水风险管理活动中的潜在用途以及相关的挑战。洪水事件的影响也将取决于社区和财产级别的抵抗力和复原力措施对区域的准备程度。我们已经研究了潜在的原因，为什么没有更多地采用房地产水平的抵抗力和弹性措施。显然，如果无人机要在洪水风险管理活动中发挥其潜力，就需要一种标准化的方法。我们确定了五个标准化支柱，这些支柱为在洪水风险管理中使用无人机的总体，以目标为导向，具有成本效益的基于系统的方法奠定了基础。这些是：（P1）部署，数据收集和与飞行有关的监管要求；（P2）数据处理，数据合并和输出；（P3）引入和使用创新方法和技术整合；（P4）将产出用于公众参与以及（P5）政策制定和治理。我们认为，建议的方法将最大限度地提高成本效益的信息收集，