A novel, low-cost rockfall monitoring method

岩崩给山区居民带来了巨大的社会和经济风险。现有的岩崩监测方法虽然准确，但可能相当昂贵和复杂。这限制了监测危险地区岩崩的空间和时间分辨率。通过提供早期预警系统和风险评估，需要对岩壁进行持续监测，以减轻与落石有关的风险。全面的监测还可以帮助约束导致岩质边坡破坏的机制，并帮助预测这些事件。该项目旨在开发一种新的、低成本的监测系统，通过使用多光谱图像和树莓派相机来利用落石痕迹的颜色。该系统将在英国进行测试，然后放置在合适的区域进行自主和连续监测。通过将收集到的数据与应用图像处理技术相结合，该系统有可能成为一种有效且易于使用的岩崩监测方法，有助于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.