scholarly journals Small-Scale Surface Reconstruction and Volume Calculation of Soil Erosion in Complex Moroccan Gully Morphology Using Structure from Motion

2014 ◽  
Vol 6 (8) ◽  
pp. 7050-7080 ◽  
Author(s):  
Andreas Kaiser ◽  
Fabian Neugirg ◽  
Gilles Rock ◽  
Christoph Müller ◽  
Florian Haas ◽  
...  
Geomorphology ◽  
2017 ◽  
Vol 295 ◽  
pp. 285-296 ◽  
Author(s):  
Matilde Balaguer-Puig ◽  
Ángel Marqués-Mateu ◽  
José Luis Lerma ◽  
Sara Ibáñez-Asensio

2021 ◽  
Vol 10 (3) ◽  
pp. 157
Author(s):  
Paul-Mark DiFrancesco ◽  
David A. Bonneau ◽  
D. Jean Hutchinson

Key to the quantification of rockfall hazard is an understanding of its magnitude-frequency behaviour. Remote sensing has allowed for the accurate observation of rockfall activity, with methods being developed for digitally assembling the monitored occurrences into a rockfall database. A prevalent challenge is the quantification of rockfall volume, whilst fully considering the 3D information stored in each of the extracted rockfall point clouds. Surface reconstruction is utilized to construct a 3D digital surface representation, allowing for an estimation of the volume of space that a point cloud occupies. Given various point cloud imperfections, it is difficult for methods to generate digital surface representations of rockfall with detailed geometry and correct topology. In this study, we tested four different computational geometry-based surface reconstruction methods on a database comprised of 3668 rockfalls. The database was derived from a 5-year LiDAR monitoring campaign of an active rock slope in interior British Columbia, Canada. Each method resulted in a different magnitude-frequency distribution of rockfall. The implications of 3D volume estimation were demonstrated utilizing surface mesh visualization, cumulative magnitude-frequency plots, power-law fitting, and projected annual frequencies of rockfall occurrence. The 3D volume estimation methods caused a notable shift in the magnitude-frequency relations, while the power-law scaling parameters remained relatively similar. We determined that the optimal 3D volume calculation approach is a hybrid methodology comprised of the Power Crust reconstruction and the Alpha Solid reconstruction. The Alpha Solid approach is to be used on small-scale point clouds, characterized with high curvatures relative to their sampling density, which challenge the Power Crust sampling assumptions.


2021 ◽  
Author(s):  
Ajinkya Desai ◽  
Scott Goodrick ◽  
Tirtha Banerjee

2018 ◽  
Vol 97 (1) ◽  
Author(s):  
H. Ekmel Ercan ◽  
Joydip Ghosh ◽  
Daniel Crow ◽  
Vickram N. Premakumar ◽  
Robert Joynt ◽  
...  

2018 ◽  
Vol 261 ◽  
pp. 136-143 ◽  
Author(s):  
Tongchuan Li ◽  
Ming’an Shao ◽  
Yuhua Jia ◽  
Xiaoxu Jia ◽  
Laiming Huang

Author(s):  
Thomas Wiemann ◽  
Marcel Mrozinski ◽  
Dominik Feldschnieders ◽  
Kai Lingemann ◽  
Joachim Hertzberg

2021 ◽  
Author(s):  
Ahsan Raza ◽  
Thomas Gaiser ◽  
Muhammad Habib-Ur-Rahman ◽  
Hella Ahrends

<p>Information on field scale soil erosion and related sedimentation process is very important for natural resource management and sustainable farming. Plenty of models are available for study of these processes but only a few are suitable for dynamic small scale soil erosion assessments. The available models vary greatly in terms of their input requirements, analysis capabilities, process [t1] complexities, spatial and temporal scale of their intended use, practicality, the manner they represent the processes, and the type of output information they provide. The study aims in examining, theoretically, 51 models classified as physical, conceptual, and empirical based on their representation of the processes of soil erosion. The literature review shows that there is no specific model available for soil erosion prediction under agroforestry systems.   It is further suggested that models like EPIC, PERFECT, GUEST, EPM, TCRP, SLEMSA, APSIM, RillGrow, and CREAMS can be potentially used for soil erosion assessment at plot/field scale at daily time steps. Most of these models are capable to simulate the soil erosion process at small scale; further model development is needed regarding their limitations with respect to components interaction i.e., rainfall intensity, overland flow, crop cover, and their difficulties in upscaling. The research suggested that SIMPLACE network can provide modules with LintulBiomass, HillFlow, Runoff to develop new dynamic components to simulate overland flow and soil erosion incorporating improved upscaling capabilities</p>


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