High-Resolution LiDAR-Derived DEMs in Hydrografic Network Extraction and Short-Time Landscape Changes

被引：7

作者：

Lazzari, Maurizio ^{[1
]}

机构：

[1] CNR ISPC, I-85100 Tito, PZ, Italy

来源：

COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2020, PT II | 2020年 / 12250卷

关键词：

LiDAR; Hydrographic network; Fluvial landscape; Calciano; Basilicata; EDGE-DETECTION; LANDSLIDE; MORPHOLOGY;

D O I：

10.1007/978-3-030-58802-1_52

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

In this paper an automatic methodology to extract the channel network from high-resolution LiDAR-derived DTMs and a semi-quantitative methodology to assess the short-time landscape evolution of a test-area, located in southern Italy, have been applied. In particular, the technique used is based on a local nonlinear filter together with the global geodesic optimization for channel head and drainage network extraction. Further, the two Lidar acquisition for the year 2012 and 2013 have been used to detect hydrographic network changes and slope evolution in terms of erosion and deposition pattern and then compare them with the slope processes (landslides and linear erosion).

引用

页码：723 / 737

页数：15

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