基于多源遥感数据的阿尔卑斯山谷地理危险的识别和分析
Yonglin Yang1,2, Zhifang Zhao3,4,5, Dingyi Zhou1,4
1Institute of International Rivers and Eco-Security, Yunnan University, Kunming 650500, China.
Sensors (Basel, Switzerland)
|July 13, 2024
概括
这项研究结合了无人机LiDAR,SBAS-InSAR和光学遥感,在一个植被丰富的高山峡谷中识别了32种地缘危险,包括山体滑坡和岩石落. 这种多传感器方法可以在具有挑战性的环境中增强地质危险的检测和分析.
科学领域:
- 地质科学 地质科学
- 遥感 遥感 遥感 遥感
- 地缘危险评估
背景情况:
- 密集植被的高山峡谷由于偏远位置,隐藏和级联效应,对地理危险的识别提出了挑战.
- 单个遥感数据源不足以在这些复杂的环境中进行全面的地缘危险分析.
研究的目的:
- 通过多种遥感技术,全面识别和分析拉图迪河谷的山体滑坡,岩石落和碎片流.
- 评估将无人机 (UAV) 光探测和射程 (LiDAR),小基线子集干涉测量合成光圈雷达 (SBAS-InSAR) 和无人机光学遥感用于地理危险评估的集成效率.
主要方法:
- 使用了无人机LiDAR,SBAS-InSAR和无人机光学遥感技术的组合.
- 将这些方法应用于衡水山脉的拉图迪河谷,用于地理危险的识别和分析.
- 处理LiDAR数据以生成0.5米分辨率的山地图,用于详细的地形分析.
主要成果:
- 总共确定了32个地质危险:18个山体滑坡,8个岩石落,6个碎片流.
- 地质危害集中在拉图迪河沿线,受到降雨和水系统的影响,变形与降雨模式相关.
- 在已识别的地缘危险中观察到级联灾害效应.
结论:
- 无人机LiDAR,SBAS-InSAR和无人机光学遥感器的集成显著提高了识别和分析植被高山峡谷中的地质危险的能力.
- 无人机LiDAR特别有利于在这些环境中获得详细的地形和地形信息,前提是使用合适的过算法.
- 这种多传感器遥感方法为地理危险易发生的阿尔卑斯山地区的灾害预防和减少工作提供了宝贵的见解.
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