在google earth引擎中使用无人机和正视图数据与浴度LiDAR进行沿海悬崖退化评估
Paweł Tysiąc1, Rafał Ossowski2, Łukasz Janowski3
1Faculty of Civil and Environmental Engineering, Gdańsk University of Technology, Gabriela Narutowicza 11/12, 80-233, Gdańsk, Poland. pawtysia@pg.edu.pl.
Scientific reports
|January 3, 2025
概括
本研究介绍了一种新的机器学习方法,使用遥感来追踪沿海悬崖侵蚀. 该方法准确地识别了退化地区,这对于了解自然灾害对海岸线的影响至关重要.
科学领域:
- 地质科学 地质科学
- 环境科学 环境科学
- 遥感 遥感 遥感 遥感
背景情况:
- 沿海悬崖因自然磨损过程和极端天气事件而面临退化.
- 沿海结构的损坏和大规模移动过程是退化的关键指标.
研究的目的:
- 引入一种用于估计和分析沿海悬崖退化的新方法.
- 评估机器学习和遥感数据对监测沿海变化的有效性.
主要方法:
- 使用了绿色和近红外波长的正视图和LiDAR数据.
- 在谷歌地球引擎中应用变更检测分析和随机森林分类器.
- 使用不同分辨率的数据集和无人机数据集验证的结果.
主要成果:
- 在检测退化区域方面实现了约90%的整体准确性.
- 绿色和近红外波长的DEM产品对于监测很重要.
- 红色和近红外波长对于从反射图和正视图中识别退化具有重要意义.
结论:
- 通过使用各种传感器,可以监测自然灾害造成的沿海退化.
- 一个单一的培训框架可以用于各种遥感数据的监控.
- 开发的方法为沿海变化分析提供了可靠的方法.
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