Remote sensing of river flow using uncrewed aerial systems (UAS) and satellite platforms

使用无人航空系统（UAS）和卫星平台遥感河流流量

• 批准号: 2882137
• 金额: --
• 依托单位: Newcastle University
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2882137
• 关键词: Remote; sensing; river; flow; using

The occurrence of flooding in western Europe is predicted to increase throughout the first half of the 21st Century. These events pose severe risks to society, transform communities, and under extreme conditions can permanently alter the state of the river system. Measurement and monitoring of these events are hindered by practical difficulties, making observations of peak flood discharge in many environments a significant technological and logistical challenge.Uncrewed aerial systems (UAS) and satellite platforms have the potential to capture information about the earth's surface in dangerous and previously inaccessible locations. Through image and video acquisition of flood events and subsequent image-based analysis, highly dynamic and oftimmeasurable hydraulic phenomena may be quantified at previously unattainable spatial and temporal resolutions. This project seeks to push the current state-of-the-art in remote sensing of rivers through the utilisation of planned deployments using UAS, and opportunistic/tasked sensing of river flows using image sequences acquired by high-resolution satellite platforms."

预计在整个21世纪上半叶，西欧发生洪水的情况将会增加。这些事件给社会带来了严重的风险，改变了社区，在极端条件下可能会永久性地改变河系的状态。这些事件的测量和监测受到实际困难的阻碍，使得在许多环境中观测洪峰流量成为一项重大的技术和后勤挑战。无人驾驶航空系统(UAS)和卫星平台有可能在危险和以前无法进入的地点捕捉地球表面的信息。通过获取洪水事件的图像和视频，以及随后的基于图像的分析，可以以以前无法达到的空间和时间分辨率来量化高度动态和不可测量的水力现象。该项目寻求通过利用无人驾驶飞机的计划部署，以及利用高分辨率卫星平台获取的图像序列对河流流动进行机会性/任务性的传感，来推动当前河流遥感方面的最先进水平。“