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原文传递 Assessing the Risk of Landslide on Oklahoma Highways Using Lidar.

题名：	Assessing the Risk of Landslide on Oklahoma Highways Using Lidar.
作者：	Shan, Y.; Bangaru, S. S.; Li, J. Q.; Yang, X.
关键词：	LiDAR (Light Detection and Ranging), Oklahoma Highways, Model Cloud Comparison (M3C2), Statistical data, Landslide, Monitoring, Displacement analysis, Recommendations, Vegetation algorithms, Oklahoma Department of Transportation(ODOT), Louisiana
摘要：	This primary objective of this study is to develop a comprehensive workflow to guide Oklahoma DOT to apply the LIDAR technology to landslide monitoring and risk assessment on Oklahoma highways. In addition to the primary objective, this study also aims 1) to evaluate registration and vegetation algorithms on the collected data, 2) to assess the displacement of the slope over various seasons, and 3) to assess the impact of vegetation removal and down-sampling algorithms on slope displacement calculation. This study examined four different sites that include both rock type and soil type slopes on Oklahoma highways. Data were collected in four different seasons (summer, fall, winter, and spring) of the year. Then, a Multi-scale Model-to-Model Cloud Comparison (M3C2) displacement analysis was performed on any of the two sets of data to identify the slope displacement. Throughout this study, technical challenges that were encountered are reported and the recommendations to overcome these challenges are reported as well. Through M3C2 analysis, it was observed that the largest change was observed between summer and fall. However, no significant change was observed in the majority of the areas of the slope, considering current level of registration error. It was found that vegetation removal and down-sampling have impacts on the result of statistical displacement and significant change analyses. The comprehensive workflow developed in this study can guide ODOT step by step to implement the LIDAR technology to monitor and assess the risk of landslides on highways. The lessoned learned from this study can help ODOT have better plan for equipment acquisition, and data collection and analysis, if ODOT decides to adopt this technology.
报告类型：	科技报告