scholarly journals New Approach for the Extraction Method of Landslide-Prone Slopes Using Geomorphological Analysis: Feasibility Study in the Shikoku Mountains, Japan

2021 ◽  
Vol 16 (4) ◽  
pp. 618-625
Author(s):  
Go Sato ◽  
Takatsugu Ozaki ◽  
Osamu Yokoyama ◽  
Akihiko Wakai ◽  
Kazunori Hayashi ◽  
...  
Keyword(s):  
Slope Stability ◽  
Laser Scanning ◽  
Pore Water Pressure ◽  
Water Pressure ◽  
Airborne Laser Scanning ◽  
New Approach ◽  
Airborne Laser ◽  
Digital Elevation ◽  
Elevation Model ◽  
Mass Rock

In recent years, airborne laser scanning has been used for terrain surveys of broad areas in Japan. This study attempted to extract the landslide-prone slope based on geomorphological and slope stability analyses using Digital Elevation Model obtained by airborne laser scanning. The study site is located in the mountainous region of the Shikoku Mountains, where landslides occur on the gentle slope deformed by mass rock creeps. Implementing slope stability analysis to incorporate “potential to increase pore water pressure” found that landslides occur in areas with low factor of safety. In the future, it is expected that the method developed in this study could contribute to the planning of basin-based disaster management.

scholarly journals Estimation of forest parameters using airborne laser scanning data

2015 ◽  
Vol 5 (2) ◽  
pp. 549-576
Author(s):  
J. Cohen
Keyword(s):  
Laser Scanning ◽  
Tree Height ◽  
National Forest Inventory ◽  
Airborne Laser Scanning ◽  
Forest Mapping ◽  
Airborne Laser ◽  
Forest Region ◽  
Digital Elevation ◽  
Industry Applications ◽  
Elevation Model

Abstract. Methods for the estimation of forest characteristics by airborne laser scanning (ALS) data have been introduced by several authors. Tree height (TH) and canopy closure (CC) describing the forest properties can be used in forest, construction and industry applications, as well as research and decision making. The National Land Survey has been collecting ALS data from Finland since 2008 to generate a nationwide high resolution digital elevation model. Although this data has been collected in leaf-off conditions, it still has the potential to be utilized in forest mapping. A method where this data is used for the estimation of CC and TH in the boreal forest region is presented in this paper. Evaluation was conducted in eight test areas across Finland by comparing the results with corresponding Multi-Source National Forest Inventory (MS-NFI) datasets. The ALS based CC and TH maps were generally in a good agreement with the MS-NFI data. As expected, deciduous forests caused some underestimation in CC and TH, but the effect was not major in any of the test areas. The processing chain has been fully automated enabling fast generation of forest maps for different areas.

scholarly journals Verification and Updating of the Database of Topographic Objects with Geometric Information About Buildings by Means of Airborne Laser Scanning Data

2017 ◽  
Vol 103 (1) ◽  
pp. 22-37
Author(s):  
Małgorzata Mendela-Anzlik ◽  
Andrzej Borkowski
Keyword(s):  
Laser Scanning ◽  
Spatial Databases ◽  
Accuracy Assessment ◽  
Airborne Laser Scanning ◽  
Geometric Information ◽  
Average Value ◽  
Airborne Laser ◽  
Digital Elevation ◽  
Geometric Representations ◽  
Building Walls

Abstract Airborne laser scanning data (ALS) are used mainly for creation of precise digital elevation models. However, it appears that the informative potential stored in ALS data can be also used for updating spatial databases, including the Database of Topographic Objects (BDOT10k). Typically, geometric representations of buildings in the BDOT10k are equal to their entities in the Land and Property Register (EGiB). In this study ALS is considered as supporting data source. The thresholding method of original ALS data with the use of the alpha shape algorithm, proposed in this paper, allows for extraction of points that represent horizontal cross section of building walls, leading to creation of vector, geometric models of buildings that can be then used for updating the BDOT10k. This method gives also the possibility of an easy verification of up-to-dateness of both the BDOT10k and the district EGiB databases within geometric information about buildings. For verification of the proposed methodology there have been used the classified ALS data acquired with a density of 4 points/m2. The accuracy assessment of the identified building outlines has been carried out by their comparison to the corresponding EGiB objects. The RMSE values for 78 buildings are from a few to tens of centimeters and the average value is about 0,5 m. At the same time for several objects there have been revealed huge geometric discrepancies. Further analyses have shown that these discrepancies could be resulted from incorrect representations of buildings in the EGiB database.

scholarly journals Unsupervised Classification for Landslide Detection from Airborne Laser Scanning

Geosciences ◽  
2019 ◽  
Vol 9 (5) ◽  
pp. 221 ◽  
Author(s):  
Caitlin J. Tran ◽  
Omar E. Mora ◽  
Jessica V. Fayne ◽  
M. Gabriela Lenzano
Keyword(s):  
Laser Scanning ◽  
Unsupervised Classification ◽  
Gaussian Mixture ◽  
Airborne Laser Scanning ◽  
Warning Signs ◽  
Terrain Analysis ◽  
Airborne Laser ◽  
Digital Elevation ◽  
Hazard And Risk ◽  
Mapping Techniques

Landslides are natural disasters that cause extensive environmental, infrastructure and socioeconomic damage worldwide. Since they are difficult to identify, it is imperative to evaluate innovative approaches to detect early-warning signs and assess their susceptibility, hazard and risk. The increasing availability of airborne laser-scanning data provides an opportunity for modern landslide mapping techniques to analyze topographic signature patterns of landslide, landslide-prone and landslide scarred areas over large swaths of terrain. In this study, a methodology based on several feature extractors and unsupervised classification, specifically k-means clustering and the Gaussian mixture model (GMM) were tested at the Carlyon Beach Peninsula in the state of Washington to map slide and non-slide terrain. When compared with the detailed, independently compiled landslide inventory map, the unsupervised methods correctly classify up to 87% of the terrain in the study area. These results suggest that (1) landslide scars associated with past deep-seated landslides may be identified using digital elevation models (DEMs) with unsupervised classification models; (2) feature extractors allow for individual analysis of specific topographic signatures; (3) unsupervised classification can be performed on each topographic signature using multiple number of clusters; (4) comparison of documented landslide prone regions to algorithm mapped regions show that algorithmic classification can accurately identify areas where deep-seated landslides have occurred. The conclusions of this study can be summarized by stating that unsupervised classification mapping methods and airborne light detection and ranging (LiDAR)-derived DEMs can offer important surface information that can be used as effective tools for digital terrain analysis to support landslide detection.

Designing on the New Elevation Database of the Czech Republic

2017 ◽  
Vol 755 ◽  
pp. 333-339 ◽  
Author(s):  
Jan Sobotka
Keyword(s):  
Czech Republic ◽  
Laser Scanning ◽  
Airborne Laser Scanning ◽  
The Czech Republic ◽  
Airborne Laser ◽  
Digital Elevation ◽  
Elevation Data

The article presents new possibilities of earthworks designing on new elevation data of the Czech Republic. These new elevation data are the result of the airborne laser scanning of the Czech Republic, which replace the old one. The new digital elevation database is another source of elevation data, which can be used during earthworks designing. Furthermore, the paper presents two projects, where new elevation data were used in practice.

scholarly journals COMPARISON OF SUBAQUATIC DIGITAL ELEVATION MODELS FROM AIRBORNE LASER SCANNING AND IMAGERY

2020 ◽  
Vol V-2-2020 ◽  
pp. 671-677
Author(s):  
C. Mulsow ◽  
G. Mandlburger ◽  
H.-G. Maas
Keyword(s):  
Spatial Resolution ◽  
Laser Scanning ◽  
Digital Elevation Models ◽  
Image Data ◽  
Airborne Laser Scanning ◽  
Stereo Images ◽  
Artificial Lake ◽  
Data Set ◽  
Airborne Laser ◽  
Digital Elevation

Abstract. The paper describes and compares the workflows and results of generating digital elevation models (DEMs) of underwater areas from airborne laser scanning and aerial stereo images. Based on a combined laser scanning/image data set of an artificial lake, both methods are described and pros/cons are highlighted. The authors focus on the final results, especially on accuracy, completeness and spatial resolution of the underwater DEM’s. Further, practical aspects of processing and complexity of both methods are highlighted too.

scholarly journals RECONSTRUCTION OF BRIDGE SUPERSTRUCTURES FROM AIRBORNE LASER SCANNING POINT CLOUDS

2021 ◽  
Vol VIII-4/W2-2021 ◽  
pp. 121-128
Author(s):  
S. Goebbels ◽  
C. Dalitz
Keyword(s):  
Laser Scanning ◽  
Point Clouds ◽  
3D Models ◽  
Airborne Laser Scanning ◽  
German State ◽  
Bridge Superstructures ◽  
3D Objects ◽  
Airborne Laser ◽  
Digital Elevation ◽  
Bridge Type

Abstract. The paper deals with the 3D reconstruction of bridges from Airborne Laser Scanning point clouds and cadastral footprints. The generated realistic 3D objects can be used to enhance city models. While other studies have focused on bridge decks to fill gaps in digital elevation models, this paper focuses on the decomposition of superstructures into construction elements such as pylons, cables and arches. For this purpose, the bridge type is classified, and a combination of model-based and data-based methods is used that are built on the detection of arcs, catenaries, and line segments in the point clouds. The described techniques were successfully applied to create 3D models of the Rhine bridges in the German state of North Rhine-Westphalia.

scholarly journals A two-phase inventory method for calculating standing volume and tree-density of forest stands in central Poland based on airborne laser-scanning data

2013 ◽  
Vol 74 (2) ◽  
pp. 127-136 ◽  
Author(s):  
Stanisław Miścicki ◽  
Krzysztof Stereńczak
Keyword(s):  
Laser Scanning ◽  
Stocking Density ◽  
Strong Relationship ◽  
Tree Density ◽  
Airborne Laser Scanning ◽  
Sample Plot ◽  
Forest Stands ◽  
Two Phase ◽  
Airborne Laser ◽  
Elevation Model

Abstract This paper describes a method of determining the stocking density and volume of forest stands based on airborne laser-scanning data. The aim of this study was to determine the relationship between ground-based measurements of standing volume and tree-density, and those acquired based on the Crown Height Model (CHM) interpolated from airborne laser scanning data. Data were collected from 34 sample plots of two sizes for the CHM analysis: 500 m2 (radius 12.61 m) and 1963.5 m2 (radius of 25.0 m): Trees for sampling were selected using two methods, those whose “centroid” was fully within the sample plot (the tree was considered to be within the sample plots if the centroid of the crown was inside the circle) and those at the “border” (the tree was included in the sample plot if, at least, one part of the contour of the crown was inside the circle). There was a strong relationship (R2 = 0.86) between standing volume measured in sample plots on the ground and the indices produced by the crown elevation model at the locations where the ground-based measurements were performed.

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