A novel, low-cost rockfall monitoring method

落石对居住在山区的人构成相当大的社会和经济风险。现有的落石监测方法虽然准确，但可能相当昂贵和复杂。这限制了在危险地区监测落石的空间和时间分辨率。需要对岩壁进行持续监测，以通过提供预警系统和风险评估来减轻与落石相关的风险。全面的监测还可以帮助限制导致岩石边坡破坏的机制，并帮助预测这些事件。该项目旨在开发一种新的低成本监测系统，利用多光谱图像和Raspberry Pi相机利用落石疤痕的颜色。该系统将在英国进行测试，然后在适当的地区进行现场自动和连续监测。通过将所收集的数据与应用的图像处理技术相结合，该系统有可能成为一种有效且可访问的落石监测方法，可以帮助减轻脆弱地区的风险。

Rockfalls pose considerable social and economic risk to those who live in mountainous regions. Existing rockfall monitoring methods, although accurate, can be considerably costly and complex. This limits the spatial and temporal resolution of monitoring rockfalls in at-risk areas. Continuous monitoring of rock walls is needed to mitigate the risks associated with rockfalls by providing early warning systems and risk assessment. Comprehensive monitoring can also help constrain the mechanisms that lead to rock slope failure and help the prediction of these events. This project seeks to develop a new, low-cost, monitoring system by exploiting the colours of rockfall scars using multi-spectral imagery and Raspberry Pi cameras. The system will be tested in the UK before placing in-situ in a suitable area for autonomous and continuous monitoring. By combining the collected data with applied image processing techniques, this system has the potential to be an effective and accessible rockfall monitoring method which can help to mitigate risk in vulnerable areas.