Kobal Milan, Bertoncelj Irena, Pirotti Francesco, Dakskobler Igor, Kutnar Lado
Biotechnical Faculty, University in Ljubljana, Department of Forestry and Renewable Forest Resources, Ljubljana, Slovenia.
National Institute of Biology, Department of Freshwater and Terrestrial Ecosystems Research, Ljubljana, Slovenia.
PLoS One. 2015 Mar 20;10(3):e0122070. doi: 10.1371/journal.pone.0122070. eCollection 2015.
In this article, we investigate the potential for detection and characterization of sinkholes under dense forest cover by using airborne laser scanning data. Laser pulse returns from the ground provide important data for the estimation of digital elevation model (DEM), which can be used for further processing. The main objectives of this study were to map and determine the geomorphometric characteristics of a large number of sinkholes and to investigate the correlations between geomorphology and vegetation in areas with such characteristics. The selected study area has very low anthropogenic influences and is particularly suitable for studying undisturbed karst sinkholes. The information extracted from this study regarding the shapes and depths of sinkholes show significant directionality for both orientation of sinkholes and their distribution over the area. Furthermore, significant differences in vegetation diversity and composition occur inside and outside the sinkholes, which indicates their presence has important ecological impacts.
在本文中，我们研究了利用机载激光扫描数据检测和表征茂密森林覆盖下的岩溶漏斗的潜力。来自地面的激光脉冲回波为数字高程模型（DEM）的估算提供了重要数据，该模型可用于进一步处理。本研究的主要目标是绘制并确定大量岩溶漏斗的地貌几何特征，并研究具有此类特征区域的地貌与植被之间的相关性。所选研究区域受人为影响极小，特别适合研究未受干扰的岩溶漏斗。从本研究中提取的有关岩溶漏斗形状和深度的信息显示，岩溶漏斗的方向及其在该区域的分布均具有显著的方向性。此外，岩溶漏斗内部和外部的植被多样性和组成存在显著差异，这表明它们的存在具有重要的生态影响。
