气候变化领域集成服务门户(CCPortal): A method for vegetation extraction in mountainous terrain for rockfall simulation

CCPortal

DOI	10.1016/j.rse.2020.112098
	A method for vegetation extraction in mountainous terrain for rockfall simulation
	Bonneau D.A.; DiFrancesco P.-M.; Hutchinson D.J.
发表日期	2020
ISSN	00344257
卷号	251
英文摘要	Over the past decade, sequential laser scanning has become increasingly routine for geomorphic monitoring in steep mountainous environments. Laser scans represent a permanent record of the terrain topology at a given point in time. Comparison of multitemporal datasets facilitates the identification of changes occurring in the terrain over time. Vegetation points in laser scans can inhibit the alignment of sequential scans. Therefore, vegetation points are commonly removed from the point cloud, although this can be a time-consuming process when done manually. In this study, an approach is presented and validated which makes use of multi-scale geometric operators to classify vegetation points in point clouds derived from terrestrial and aerial laser scanning. Using two study sites within the Thompson-Fraser rail corridor in British Columbia, Canada, the classification accuracies of vegetation points when compared to manual mapping was over 90%. The classified vegetation points are then segmented into individual trees. The approach is compared with outputs from the Find Individual Trees (FINT) program. The delineated trees from all approaches are incorporated into the RockyFor3D rockfall modelling program to show the implications of forest inventory construction from remote sensing methods on rockfall propagation. Over-classification of trees is shown to result in a higher predicted protective capacity of a forest when assessing a rockfall hazard. © 2020 Elsevier Inc.
英文关键词	Laser scanning; Multi-scale geometric operators; Point clouds; Rockfall; Vegetation classification
语种	英语
scopus关键词	Antennas; Forestry; Landforms; Laser applications; Remote sensing; Rock bursts; British Columbia , Canada; Classification accuracy; Forest inventory; Mountainous environment; Mountainous terrain; Protective capacity; Rockfall hazard; Vegetation extractions; Vegetation; classification; forest inventory; laser; model validation; mountain region; rainfall; remote sensing; segmentation; vegetation mapping; British Columbia; Canada; Columbia
来源期刊	Remote Sensing of Environment
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/179096
作者单位	Department of Geological Sciences and Geological Engineering, Queen's University, Kingston, ON K7L 3N6, Canada
推荐引用方式 GB/T 7714	Bonneau D.A.,DiFrancesco P.-M.,Hutchinson D.J.. A method for vegetation extraction in mountainous terrain for rockfall simulation[J],2020,251.
APA	Bonneau D.A.,DiFrancesco P.-M.,&Hutchinson D.J..(2020).A method for vegetation extraction in mountainous terrain for rockfall simulation.Remote Sensing of Environment,251.
MLA	Bonneau D.A.,et al."A method for vegetation extraction in mountainous terrain for rockfall simulation".Remote Sensing of Environment 251(2020).