scholarly journals UAV and Airborne LiDAR Data for Interpreting Kinematic Evolution of Landslide Movements: The Case Study of the Montescaglioso Landslide (Southern Italy)

Geosciences ◽  
2019 ◽  
Vol 9 (6) ◽  
pp. 248 ◽  
Author(s):  
Roberta Pellicani ◽  
Ilenia Argentiero ◽  
Paola Manzari ◽  
Giuseppe Spilotro ◽  
Cosimo Marzo ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Southern Italy ◽  
Airborne Lidar ◽  
Slope Instability ◽  
Digital Terrain ◽  
Kinematic Evolution ◽  
Terrain Models ◽  
Landslide Body ◽  
Remote Sensing Systems ◽  
Airborne Lidar Data

Airborne remote sensing systems are increasingly used in engineering geology and geomorphology for studying and monitoring natural hazardous scenarios and events. In this study, we used two remote sensing monitoring techniques, i.e., light detection and ranging (LiDAR) and unmanned aerial vehicles (UAV) to analyze the kinematic evolution of the Montescaglioso landslide (Basilicata, Southern Italy), a large rain-triggered landslide that occurred in December 2013. By comparing pre- and post-event LiDAR and UAV DEMs and UAV orthomosaics, we delineated landslide morphological features and measured horizontal displacements and elevation change differences within landslide body. Analysis of two subsequent post-events digital terrain models (DTMs) also allowed the evaluation of the evolutionary behavior of the slope instability, highlighting no signs of reactivation. The UAV-derived digital surface models (DSMs) were found consistent with the LiDAR-DTMs, but their use was in addition highlighted as highly effective to support geomorphic interpretations and complement LiDAR and field-based data acquisitions. This study shows the effectiveness of combining the two UAV-LiDAR methodologies to evaluate geomorphological features indicative of the failure mechanism and to interpret the evolutionary behavior of the instability process

scholarly journals Detection of Earthquake-Induced Landslides during the 2018 Kumamoto Earthquake Using Multitemporal Airborne Lidar Data

2019 ◽  
Vol 11 (19) ◽  
pp. 2292 ◽  
Author(s):  
Wen Liu ◽  
Fumio Yamazaki ◽  
Yoshihisa Maruyama
Keyword(s):  
Image Interpretation ◽  
Airborne Lidar ◽  
Lidar Data ◽  
Digital Terrain ◽  
Terrain Models ◽  
Short Period ◽  
Vertical Displacements ◽  
Good Potential ◽  
Collapsed Buildings ◽  
Airborne Lidar Data

A series of earthquakes hit Kumamoto Prefecture, Japan, continuously over a period of two days in April 2016. The earthquakes caused many landslides and numerous surface ruptures. In this study, two sets of the pre- and post-event airborne Lidar data were applied to detect landslides along the Futagawa fault. First, the horizontal displacements caused by the crustal displacements were removed by a subpixel registration. Then, the vertical displacements were calculated by averaging the vertical differences in 100-m grids. The erosions and depositions in the corrected vertical differences were extracted using the thresholding method. Slope information was applied to remove the vertical differences caused by collapsed buildings. Then, the linked depositions were identified from the erosions according to the aspect information. Finally, the erosion and its linked deposition were identified as a landslide. The results were verified using truth data from field surveys and image interpretation. Both the pair of digital surface models acquired over a short period and the pair of digital terrain models acquired over a 10-year period showed good potential for detecting 70% of landslides.

scholarly journals Semi-Global Filtering of Airborne LiDAR Data for Fast Extraction of Digital Terrain Models

2015 ◽  
Vol 7 (8) ◽  
pp. 10996-11015 ◽  
Author(s):  
Xiangyun Hu ◽  
Lizhi Ye ◽  
Shiyan Pang ◽  
Jie Shan
Keyword(s):  
Airborne Lidar ◽  
Lidar Data ◽  
Digital Terrain Models ◽  
Digital Terrain ◽  
Terrain Models ◽  
Fast Extraction ◽  
Airborne Lidar Data

scholarly journals The use of airborne LiDAR data for the analysis of debris flow events in Switzerland

2008 ◽  
Vol 8 (5) ◽  
pp. 1113-1127 ◽  
Author(s):  
C. Scheidl ◽  
D. Rickenmann ◽  
M. Chiari
Keyword(s):  
Debris Flow ◽  
Airborne Lidar ◽  
Lidar Data ◽  
Digital Terrain Models ◽  
Alpine Regions ◽  
Digital Terrain ◽  
Terrain Models ◽  
Digital Elevation ◽  
Airborne Lidar Data ◽  
Volume Estimates

Abstract. A methodology of magnitude estimates for debris flow events is described using airborne LiDAR data. Light Detection And Ranging (LiDAR) is a widely used technology to generate digital elevation information. LiDAR data in alpine regions can be obtained by several commercial companies where the automated filtering process is proprietary and varies from companies to companies. This study describes the analysis of geomorphologic changes using digital terrain models derived from commercial LiDAR data. The estimation of the deposition volumes is based on two digital terrain models covering the same area but differing in their time of survey. In this study two surveyed deposition areas of debris flows, located in the canton of Berne, Switzerland, were chosen as test cases. We discuss different grid interpolating techniques, other preliminary work and the accuracy of the used LiDAR data and volume estimates.

scholarly journals 3D-Modelling of Charlemagne’s Summit Canal (Southern Germany)—Merging Remote Sensing and Geoarchaeological Subsurface Data

2019 ◽  
Vol 11 (9) ◽  
pp. 1111 ◽  
Author(s):  
Johannes Schmidt ◽  
Johannes Rabiger-Völlmer ◽  
Lukas Werther ◽  
Ulrike Werban ◽  
Peter Dietrich ◽  
...  
Keyword(s):  
Cross Sections ◽  
3D Model ◽  
Digital Terrain Model ◽  
Airborne Lidar ◽  
Engineering Construction ◽  
Terrain Model ◽  
Digital Terrain ◽  
Danube Catchment ◽  
The Difference ◽  
Airborne Lidar Data

The Early Medieval Fossa Carolina is the first hydro-engineering construction that bridges the Central European Watershed. The canal was built in 792/793 AD on order of Charlemagne and should connect the drainage systems of the Rhine-Main catchment and the Danube catchment. In this study, we show for the first time, the integration of Airborne LiDAR (Light Detection and Ranging) and geoarchaeological subsurface datasets with the aim to create a 3D-model of Charlemagne’s summit canal. We used a purged Digital Terrain Model that reflects the pre-modern topography. The geometries of buried canal cross-sections are derived from three archaeological excavations and four high-resolution direct push sensing transects. By means of extensive core data, we interpolate the trench bottom and adjacent edges along the entire canal course. As a result, we are able to create a 3D-model that reflects the maximum construction depth of the Carolingian canal and calculate an excavation volume of approx. 297,000 m3. Additionally, we compute the volume of the present dam remnants by Airborne LiDAR data. Surprisingly, the volume of the dam remnants reveals only 120,000 m3 and is much smaller than the computed Carolingian excavation volume. The difference reflects the erosion and anthropogenic overprint since the 8th century AD.

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