@inproceedings{bd3e2768208d4850bd3ca76edc6724dc,
title = "Characterizing tree growth anomaly induced by landslides using lidar",
abstract = "Disrupted vegetation is often used as an indicator for landslide activity in forested regions. The extraction of irregular trees from airborne laser scanning data remains problematic because of low quality of observed data and paucity of field data validation. We obtained high density airborne LiDAR (HDAL) data with 180 points m2 for characterizing tree growth anomalies caused by landslides in the Barcelonnette region, the Southern French Alps. HDAL allowed the mapping of a complex landslide and its three kinematic zones. The TreeVaW method detecting trees from the HDAL data and determined their position and height, while the SkelTre-skeletonization method extracted the tree inclination. The tree growth anomalies are parameterized by tree height dissimilarities and tree inclinations. These parameters were successfully extracted from the HDAL and compared with field data. We revealed that the distribution of LiDAR-derived tree growth anomalies was statistically different for landslide areas as compared to stable areas.",
keywords = "Drunken trees phenomena, Forested landslides, LiDAR-derived tree irregularities",
author = "Razak, {Khamarrul A.} and Alexander Bucksch and Michiel Damen and Menno Straatsma and {De Jong}, Steven",
year = "2013",
doi = "10.1007/978-3-642-31325-7_31",
language = "English",
isbn = "9783642313240",
series = "Landslide Science and Practice: Landslide Inventory and Susceptibility and Hazard Zoning",
publisher = "Springer",
pages = "235--241",
booktitle = "Landslide Science and Practice",
note = "2nd World Landslide Forum, WLF 2011 ; Conference date: 03-10-2011 Through 09-10-2011",
}