Semi-automated classification of layered rock slopes using digital elevation model and geological map
Abstract: Layered rock slopes are the most widely distributed slopes with the simplest structure. The classification of layered rock slopes is the basis for correctly analyzing their deformation and failure mechanisms, evaluating their stability, and adopting reasonable support methods. It is also one of the essential indicators to support the evaluation of urban and rural construction suitability and the assessment of landslide hazards. However, the present-day classification methods for layered rock slopes are not sufficiently automated. In the application process of these methods, a lot of manual intervention is still needed, and sufficient strata orientation data obtained through field surveys is required, which is not effective for large-scale applications and involves high subjectivity. Thus, this study proposes a semi-automated classification method for layered rock slopes based on digital elevation model (DEM) and geological maps, which greatly reduces human intervention. On the basis of slope unit division, the method extracts structural information of slopes using DEM and geological maps and classifies slopes according to their structural characteristics. An experiment has been carried out in the northern region of Mount Lu in Jiangxi Province, and the results demonstrate the effectiveness of this semi-automated classification method. Compared to the existing manual or semi-automated classification methods, the method proposed in this article is objective and highly automated, which can meet the requirements of classification of layered rock slopes over large areas, even in the case of sparse measured orientation data.
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Erschienen in
-
Semi-automated classification of layered rock slopes using digital elevation model and geological map ; volume:15 ; number:1 ; year:2023 ; extent:20
Open Geosciences ; 15, Heft 1 (2023) (gesamt 20)
- Urheber
-
Shang, Hao
Wang, Da-Hai
Li, Meng-Yuan
Ma, Yu-Hong
Yang, Shi-Peng
Li, An-Bo
- DOI
-
10.1515/geo-2022-0526
- URN
-
urn:nbn:de:101:1-2023082114044985786087
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:52 MESZ
Datenpartner
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Shang, Hao
- Wang, Da-Hai
- Li, Meng-Yuan
- Ma, Yu-Hong
- Yang, Shi-Peng
- Li, An-Bo
Ähnliche Objekte (12)
Stability analysis for two-layered slopes by using the strength reduction method
Pluriannual thermal behavior of low elevation cold talus slopes in western Switzerland
Integration of digital elevation models and satellite images to investigate geological processes.
Miocene carbonate platform slopes
Lighting of Ski Slopes
Convolutional neural networks prediction of the factor of safety of random layered slopes by the strength reduction method
3D geological implicit modeling method of regular voxel splitting based on layered interpolation data
Quantification of layered patterns with structural anisotropy : a comparison of biological and geological systems
Engineering geological studies in Central Nepal with emphasis on stress regime and stability of slopes and tunnels, Bd. 1
Engineering geological studies in Central Nepal with emphasis on stress regime and stability of slopes and tunnels, Bd. 2
Use of terrestrial laser scanning for engineering geological applications on volcanic rock slopes – an example from Madeira island (Portugal)
Every knot has characterising slopes
Stability analysis for two-layered slopes by using the strength reduction method
Pluriannual thermal behavior of low elevation cold talus slopes in western Switzerland
Integration of digital elevation models and satellite images to investigate geological processes.
Miocene carbonate platform slopes
Lighting of Ski Slopes
Convolutional neural networks prediction of the factor of safety of random layered slopes by the strength reduction method
3D geological implicit modeling method of regular voxel splitting based on layered interpolation data
Quantification of layered patterns with structural anisotropy : a comparison of biological and geological systems
Engineering geological studies in Central Nepal with emphasis on stress regime and stability of slopes and tunnels, Bd. 1
Engineering geological studies in Central Nepal with emphasis on stress regime and stability of slopes and tunnels, Bd. 2
Use of terrestrial laser scanning for engineering geological applications on volcanic rock slopes – an example from Madeira island (Portugal)
Every knot has characterising slopes
Stability analysis for two-layered slopes by using the strength reduction method
Pluriannual thermal behavior of low elevation cold talus slopes in western Switzerland
Integration of digital elevation models and satellite images to investigate geological processes.
Miocene carbonate platform slopes
Lighting of Ski Slopes
Convolutional neural networks prediction of the factor of safety of random layered slopes by the strength reduction method
3D geological implicit modeling method of regular voxel splitting based on layered interpolation data
Quantification of layered patterns with structural anisotropy : a comparison of biological and geological systems
Engineering geological studies in Central Nepal with emphasis on stress regime and stability of slopes and tunnels, Bd. 1
Engineering geological studies in Central Nepal with emphasis on stress regime and stability of slopes and tunnels, Bd. 2
Use of terrestrial laser scanning for engineering geological applications on volcanic rock slopes – an example from Madeira island (Portugal)