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Andreas Kaiser
Section of Soil and Water Conservation; Technische Universitat Bergakademie Freiberg; Freiberg Germany

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Article
Published: 10 July 2017 in Earth Surface Processes and Landforms
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Recent advances are made in earth surface reconstruction with high spatial resolution due to SfM photogrammetry. High flexibility of data acquisition and high potential of process automation allows for a significant increase of the temporal resolution, as well, which is especially interesting to assess geomorphic changes. Two case studies are presented where 4D reconstruction is performed to study soil surface changes at 15 seconds intervals: (a) a thunderstorm event is captured at field scale and (b) a rainfall simulation is observed at plot scale. A workflow is introduced for automatic data acquisition and processing including the following approach: data collection, camera calibration and subsequent image correction, template matching to automatically identify ground control points in each image to account for camera movements, 3D reconstruction of each acquisition interval, and finally applying temporal filtering to the resulting surface change models to correct random noise and to increase the reliability of the measurement of signals of change with low intensity. Results reveal surface change detection with cm- to mm-accuracy. Significant soil changes are measured during the events. Ripple and pool sequences become obvious in both case studies. Additionally, roughness changes and hydrostatic effects are apparent along the temporal domain at the plot scale. 4D monitoring with time-lapse SfM photogrammetry enables new insights into geomorphic processes due to a significant increase of temporal resolution. Copyright © 2017 John Wiley & Sons, Ltd.

ACS Style

Anette Eltner; Andreas Kaiser; Antonio Abellan; Marcus Schindewolf. Time lapse structure-from-motion photogrammetry for continuous geomorphic monitoring. Earth Surface Processes and Landforms 2017, 42, 2240 -2253.

AMA Style

Anette Eltner, Andreas Kaiser, Antonio Abellan, Marcus Schindewolf. Time lapse structure-from-motion photogrammetry for continuous geomorphic monitoring. Earth Surface Processes and Landforms. 2017; 42 (14):2240-2253.

Chicago/Turabian Style

Anette Eltner; Andreas Kaiser; Antonio Abellan; Marcus Schindewolf. 2017. "Time lapse structure-from-motion photogrammetry for continuous geomorphic monitoring." Earth Surface Processes and Landforms 42, no. 14: 2240-2253.

Journal article
Published: 17 November 2016 in Hydrology
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The silty soils of the intensively used agricultural landscape of the Saxon loess province, eastern Germany, are very prone to soil erosion, mainly caused by water erosion. Rainfall simulations, and also increasingly structure-from-motion (SfM) photogrammetry, are used as methods in soil erosion research not only to assess soil erosion by water, but also to quantify soil loss. This study aims to validate SfM photogrammetry determined soil loss estimations with rainfall simulations measurements. Rainfall simulations were performed at three agricultural sites in central Saxony. Besides the measured data runoff and soil loss by sampling (in mm), terrestrial images were taken from the plots with digital cameras before and after the rainfall simulation. Subsequently, SfM photogrammetry was used to reconstruct soil surface changes due to soil erosion in terms of high resolution digital elevation models (DEMs) for the pre- and post-event (resolution 1 × 1 mm). By multi-temporal change detection, the digital elevation model of difference (DoD) and an averaged soil loss (in mm) is received, which was compared to the soil loss by sampling. Soil loss by DoD was higher than soil loss by sampling. The method of SfM photogrammetry-determined soil loss estimations also include a comparison of three different ground control point (GCP) approaches, revealing that the most complex one delivers the most reliable soil loss by DoD. Additionally, soil bulk density changes and splash erosion beyond the plot were measured during the rainfall simulation experiments in order to separate these processes and associated surface changes from the soil loss by DoD. Furthermore, splash was negligibly small, whereas higher soil densities after the rainfall simulations indicated soil compaction. By means of calculated soil surface changes due to soil compaction, the soil loss by DoD achieved approximately the same value as the soil loss by rainfall simulation.

ACS Style

Phoebe Hänsel; Marcus Schindewolf; Anette Eltner; Andreas Kaiser; Jürgen Schmidt. Feasibility of High-Resolution Soil Erosion Measurements by Means of Rainfall Simulations and SfM Photogrammetry. Hydrology 2016, 3, 38 .

AMA Style

Phoebe Hänsel, Marcus Schindewolf, Anette Eltner, Andreas Kaiser, Jürgen Schmidt. Feasibility of High-Resolution Soil Erosion Measurements by Means of Rainfall Simulations and SfM Photogrammetry. Hydrology. 2016; 3 (4):38.

Chicago/Turabian Style

Phoebe Hänsel; Marcus Schindewolf; Anette Eltner; Andreas Kaiser; Jürgen Schmidt. 2016. "Feasibility of High-Resolution Soil Erosion Measurements by Means of Rainfall Simulations and SfM Photogrammetry." Hydrology 3, no. 4: 38.

Journal article
Published: 21 June 2016 in Geomorphology
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A 125,000 m2 calanchi badland in the Province of Siena (Tuscany) was monitored with an unmanned aerial vehicle (UAV) and terrestrial laser scanning over the period of one year. TLS (terrestrial laser scanning) was carried out on two sample slopes, whereas the image acquisition of the UAV covered the entire catchment. In combination with ground control points, the UAV images were used to create orthophotos and 3D point clouds using the Structure from Motion (SfM) software Photoscan. The TLS surface models indicate seasonal differences in erosion and deposition. The surface change measured with SfM showed nearly 6.700 m3 of net material loss, resulting from 8.700 m3 erosion and 2.000 m3 deposition. These values reveal a mean annual surface lowering of 5.3 cm for the catchment. Additionally, several geomorphological processes, such as rill erosion, slope wash and translational slides could be detected in the one-year monitoring period. A comparison of TLS and SfM results showed differences in the calculated volumes of mobilised material. These discrepancies resulted from shadowing effects and low point densities of the TLS point clouds.

ACS Style

F. Neugirg; M. Stark; Andreas Kaiser; M. Vlacilova; M. Della Seta; Francesca Vergari; J. Schmidt; M. Becht; F. Haas. Erosion processes in calanchi in the Upper Orcia Valley, Southern Tuscany, Italy based on multitemporal high-resolution terrestrial LiDAR and UAV surveys. Geomorphology 2016, 269, 8 -22.

AMA Style

F. Neugirg, M. Stark, Andreas Kaiser, M. Vlacilova, M. Della Seta, Francesca Vergari, J. Schmidt, M. Becht, F. Haas. Erosion processes in calanchi in the Upper Orcia Valley, Southern Tuscany, Italy based on multitemporal high-resolution terrestrial LiDAR and UAV surveys. Geomorphology. 2016; 269 ():8-22.

Chicago/Turabian Style

F. Neugirg; M. Stark; Andreas Kaiser; M. Vlacilova; M. Della Seta; Francesca Vergari; J. Schmidt; M. Becht; F. Haas. 2016. "Erosion processes in calanchi in the Upper Orcia Valley, Southern Tuscany, Italy based on multitemporal high-resolution terrestrial LiDAR and UAV surveys." Geomorphology 269, no. : 8-22.

Journal article
Published: 31 May 2016 in Natural Hazards and Earth System Sciences
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This study focuses on the quantification and analysis of geomorphic processes on the barely vegetated slopes of a recultivated iron ore mine on the Italian island of Elba using photographs from terrestrial laser scanning (TLS) and digital photogrammetry by an unmanned aerial vehicle (UAV) over a period of 5 1/2 years. Beside this, the study tried to work out the potential and the limitations of both methods to detect surface changes by geomorphic process dynamics within a natural environment. Both UAV and TLS show the pattern of the erosion and accumulation processes on the investigated slope quite well, but the calculated amounts differ clearly between the methods. The reasons for these differences could be found in the different accuracies (variable level of detections) of the methods and the different viewing geometries. Both effects have an impact on the detectable process dynamics over different timescales on the slope and their calculated amounts, which in both cases can lead to an underestimation of erosion and accumulation by fluvial processes.

ACS Style

Florian Haas; Ludwig Hilger; Fabian Neugirg; Kathrin Umstädter; Christian Breitung; Peter Fischer; Paula Hilger; Tobias Heckmann; Jana Dusik; Andreas Kaiser; Jürgen Schmidt; Marta Della Seta; Ruben Rosenkranz; Michael Becht. Quantification and analysis of geomorphic processes on a recultivated iron ore mine on the Italian island of Elba using long-term ground-based lidar and photogrammetric SfM data by a UAV. Natural Hazards and Earth System Sciences 2016, 16, 1269 -1288.

AMA Style

Florian Haas, Ludwig Hilger, Fabian Neugirg, Kathrin Umstädter, Christian Breitung, Peter Fischer, Paula Hilger, Tobias Heckmann, Jana Dusik, Andreas Kaiser, Jürgen Schmidt, Marta Della Seta, Ruben Rosenkranz, Michael Becht. Quantification and analysis of geomorphic processes on a recultivated iron ore mine on the Italian island of Elba using long-term ground-based lidar and photogrammetric SfM data by a UAV. Natural Hazards and Earth System Sciences. 2016; 16 (5):1269-1288.

Chicago/Turabian Style

Florian Haas; Ludwig Hilger; Fabian Neugirg; Kathrin Umstädter; Christian Breitung; Peter Fischer; Paula Hilger; Tobias Heckmann; Jana Dusik; Andreas Kaiser; Jürgen Schmidt; Marta Della Seta; Ruben Rosenkranz; Michael Becht. 2016. "Quantification and analysis of geomorphic processes on a recultivated iron ore mine on the Italian island of Elba using long-term ground-based lidar and photogrammetric SfM data by a UAV." Natural Hazards and Earth System Sciences 16, no. 5: 1269-1288.

Journal article
Published: 19 May 2016 in Earth Surface Dynamics
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Photogrammetry and geosciences have been closely linked since the late 19th century due to the acquisition of high-quality 3-D data sets of the environment, but it has so far been restricted to a limited range of remote sensing specialists because of the considerable cost of metric systems for the acquisition and treatment of airborne imagery. Today, a wide range of commercial and open-source software tools enable the generation of 3-D and 4-D models of complex geomorphological features by geoscientists and other non-experts users. In addition, very recent rapid developments in unmanned aerial vehicle (UAV) technology allow for the flexible generation of high-quality aerial surveying and ortho-photography at a relatively low cost.The increasing computing capabilities during the last decade, together with the development of high-performance digital sensors and the important software innovations developed by computer-based vision and visual perception research fields, have extended the rigorous processing of stereoscopic image data to a 3-D point cloud generation from a series of non-calibrated images. Structure-from-motion (SfM) workflows are based upon algorithms for efficient and automatic orientation of large image sets without further data acquisition information, examples including robust feature detectors like the scale-invariant feature transform for 2-D imagery. Nevertheless, the importance of carrying out well-established fieldwork strategies, using proper camera settings, ground control points and ground truth for understanding the different sources of errors, still needs to be adapted in the common scientific practice.This review intends not only to summarise the current state of the art on using SfM workflows in geomorphometry but also to give an overview of terms and fields of application. Furthermore, this article aims to quantify already achieved accuracies and used scales, using different strategies in order to evaluate possible stagnations of current developments and to identify key future challenges. It is our belief that some lessons learned from former articles, scientific reports and book chapters concerning the identification of common errors or "bad practices" and some other valuable information may help in guiding the future use of SfM photogrammetry in geosciences.

ACS Style

Anette Eltner; Andreas Kaiser; Carlos Castillo; Gilles Rock; Fabian Neugirg; Antonio Abellán. Image-based surface reconstruction in geomorphometry – merits, limits and developments. Earth Surface Dynamics 2016, 4, 359 -389.

AMA Style

Anette Eltner, Andreas Kaiser, Carlos Castillo, Gilles Rock, Fabian Neugirg, Antonio Abellán. Image-based surface reconstruction in geomorphometry – merits, limits and developments. Earth Surface Dynamics. 2016; 4 (2):359-389.

Chicago/Turabian Style

Anette Eltner; Andreas Kaiser; Carlos Castillo; Gilles Rock; Fabian Neugirg; Antonio Abellán. 2016. "Image-based surface reconstruction in geomorphometry – merits, limits and developments." Earth Surface Dynamics 4, no. 2: 359-389.

Journal article
Published: 12 April 2016 in Zeitschrift für Geomorphologie, Supplementary Issues
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ACS Style

Marcus Schindewolf; Andreas Kaiser; Fabian Neugirg; Constanze Richter; Florian Haas; Jürgen Schmidt. Seasonal erosion patterns under alpine conditions: benefits and challenges of a novel approach in physically based soil erosion modeling. Zeitschrift für Geomorphologie, Supplementary Issues 2016, 60, 109 -123.

AMA Style

Marcus Schindewolf, Andreas Kaiser, Fabian Neugirg, Constanze Richter, Florian Haas, Jürgen Schmidt. Seasonal erosion patterns under alpine conditions: benefits and challenges of a novel approach in physically based soil erosion modeling. Zeitschrift für Geomorphologie, Supplementary Issues. 2016; 60 (1):109-123.

Chicago/Turabian Style

Marcus Schindewolf; Andreas Kaiser; Fabian Neugirg; Constanze Richter; Florian Haas; Jürgen Schmidt. 2016. "Seasonal erosion patterns under alpine conditions: benefits and challenges of a novel approach in physically based soil erosion modeling." Zeitschrift für Geomorphologie, Supplementary Issues 60, no. 1: 109-123.

Journal article
Published: 09 April 2016 in CATENA
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Multi-temporal data collection represents a useful tool to investigate changes by geomorphological processes. Unvegetated steep slopes often show high levels of geomorphological activity, and their seasonal behaviour is challenging to understand and predict. Our work presents monitoring of steep slopes in two alpine river catchments (Arzbach Valley and Lainbach Valley, Germany) and on a Mediterranean mining waste dump (Rio Marina, Italy) using terrestrial laser scanning and a statistical modelling approach to better comprehend possible regularities in slope dynamics. Scans of all three slopes carried out repeatedly were analysed in terms of erosion and deposition rates and their distribution across the slope. The statistical model showed large differences between the three study areas, but promising agreements between modelled soil loss and measurements could be achieved within each catchment.

ACS Style

F. Neugirg; Andreas Kaiser; A. Huber; T. Heckmann; M. Schindewolf; J. Schmidt; M. Becht; F. Haas. Using terrestrial LiDAR data to analyse morphodynamics on steep unvegetated slopes driven by different geomorphic processes. CATENA 2016, 142, 269 -280.

AMA Style

F. Neugirg, Andreas Kaiser, A. Huber, T. Heckmann, M. Schindewolf, J. Schmidt, M. Becht, F. Haas. Using terrestrial LiDAR data to analyse morphodynamics on steep unvegetated slopes driven by different geomorphic processes. CATENA. 2016; 142 ():269-280.

Chicago/Turabian Style

F. Neugirg; Andreas Kaiser; A. Huber; T. Heckmann; M. Schindewolf; J. Schmidt; M. Becht; F. Haas. 2016. "Using terrestrial LiDAR data to analyse morphodynamics on steep unvegetated slopes driven by different geomorphic processes." CATENA 142, no. : 269-280.

Preprint content
Published: 13 October 2015 in Natural Hazards and Earth System Sciences Discussions
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This study aims on the quantification and analysis of geomorphic processes on the barely vegetated slopes of a recultivated iron ore mine on the Italian island Elba using Terrestrial Lasercanning (TLS) and digital photogrammetry by UAV photographs over a period of 5 1/2 years. Beside this the study tried to work out the potential and the limitations of both methods to detect surface changes by geomorphic process dynamic within a natural environment. Both, UAV and TLS show the pattern of the erosion and accumulation processes on the investigated slope quite well, but the calculated amounts differ clearly between the methods. The reasons for these differences could be found in the different accuracies (variable level of detections) of the methods and the different viewing geometries. Both effects have an impact on the detectable process dynamic over different time scales on the slope and their calculated amounts, which in both cases can lead to an underestimation of erosion and accumulation by fluvial processes.

ACS Style

Florian Haas; Ludwig Hilger; Fabian Neugirg; Kathrin Umstädter; Christian Breitung; Peter Fischer; Paula Hilger; Tobias Heckmann; Janamarie Dusik; Andreas Kaiser; Jennifer I Schmidt; Marta Della Seta; Ruben Rosenkranz; Michael Becht. Quantification and analysis of geomorphic processes on a recultivated iron ore mine on the Italian island Elba using long-time ground-based LIDAR and photogrammetric data by an UAV. Natural Hazards and Earth System Sciences Discussions 2015, 16, 1269 -1288.

AMA Style

Florian Haas, Ludwig Hilger, Fabian Neugirg, Kathrin Umstädter, Christian Breitung, Peter Fischer, Paula Hilger, Tobias Heckmann, Janamarie Dusik, Andreas Kaiser, Jennifer I Schmidt, Marta Della Seta, Ruben Rosenkranz, Michael Becht. Quantification and analysis of geomorphic processes on a recultivated iron ore mine on the Italian island Elba using long-time ground-based LIDAR and photogrammetric data by an UAV. Natural Hazards and Earth System Sciences Discussions. 2015; 16 (5):1269-1288.

Chicago/Turabian Style

Florian Haas; Ludwig Hilger; Fabian Neugirg; Kathrin Umstädter; Christian Breitung; Peter Fischer; Paula Hilger; Tobias Heckmann; Janamarie Dusik; Andreas Kaiser; Jennifer I Schmidt; Marta Della Seta; Ruben Rosenkranz; Michael Becht. 2015. "Quantification and analysis of geomorphic processes on a recultivated iron ore mine on the Italian island Elba using long-time ground-based LIDAR and photogrammetric data by an UAV." Natural Hazards and Earth System Sciences Discussions 16, no. 5: 1269-1288.

Journal article
Published: 14 September 2015 in SOIL
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The objective of the presented work was to develop a method to acquire Manning's n by creating very high-resolution surface models with structure-from-motion methods. As hydraulic roughness is an essential parameter for physically based erosion models, a practical measuring technique is valuable during field work. Data acquisition took place during several field experiments in the Lainbach valley, southern Germany, and on agricultural sites in Saxony, eastern Germany, and in central Brazil. Rill and interrill conditions were simulated by flow experiments. In order to validate our findings stream velocity was measured with colour tracers. Grain sizes were derived by measuring distances from a best fit line to the reconstructed soil surface. Several diameters from D50 to D90 were tested with D90 showing best correlation between tracer experiments and photogrammetrically acquired data. Several roughness parameters were tested (standard deviation, random roughness, Garbrecht's n and D90). Best agreement in between the grain size and the hydraulic roughness was achieved with a non-linear sigmoid function and D90 rather than with the Garbrecht equation or statistical parameters.

ACS Style

A. Kaiser; F. Neugirg; F. Haas; J. Schmidt; M. Becht; M. Schindewolf. Determination of hydrological roughness by means of close range remote sensing. SOIL 2015, 1, 613 -620.

AMA Style

A. Kaiser, F. Neugirg, F. Haas, J. Schmidt, M. Becht, M. Schindewolf. Determination of hydrological roughness by means of close range remote sensing. SOIL. 2015; 1 (2):613-620.

Chicago/Turabian Style

A. Kaiser; F. Neugirg; F. Haas; J. Schmidt; M. Becht; M. Schindewolf. 2015. "Determination of hydrological roughness by means of close range remote sensing." SOIL 1, no. 2: 613-620.

Conference paper
Published: 12 June 2015 in Proceedings of the International Association of Hydrological Sciences
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Steep and unvegetated slopes in mountainous areas play an important role in erosion research as they deliver large quantities of sediments to the lowlands. However, their complex hydrological process combinations are challenging for any modelling and forecasting intention. Due to its high morphodynamic activity the Lainbach valley in southern Bavaria, Germany, has repeatedly been subject to studies on erosional processes. We present a further developed approach of physically based erosion modelling on strongly inclined and heavily dissected slopes. Model parameters were spatially and temporally distributed and a statistical model was tested to compare both findings to a previous study in the same catchment on a different slope. High resolution surface models from laser scans served as validation for the modelling results and for monitoring soil loss. Especially an adjustment of hydraulic roughness values improved the results, whereas rill hydraulics demand further investigation for future model development. The study at hand focusses on the summer period and reveals adequate modelling results (98.4% agreement in volume loss) with regard to the slope's non-stationary behaviour but leaves room for improvement for the winter period.

ACS Style

F. Neugirg; A. Kaiser; M. Schindewolf; M. Becht; J. Schmidt; F. Haas. Monitoring and modeling slope dynamics in an Alpine watershed – a combined approach of soil science, remote sensing and geomorphology. Proceedings of the International Association of Hydrological Sciences 2015, 371, 181 -187.

AMA Style

F. Neugirg, A. Kaiser, M. Schindewolf, M. Becht, J. Schmidt, F. Haas. Monitoring and modeling slope dynamics in an Alpine watershed – a combined approach of soil science, remote sensing and geomorphology. Proceedings of the International Association of Hydrological Sciences. 2015; 371 ():181-187.

Chicago/Turabian Style

F. Neugirg; A. Kaiser; M. Schindewolf; M. Becht; J. Schmidt; F. Haas. 2015. "Monitoring and modeling slope dynamics in an Alpine watershed – a combined approach of soil science, remote sensing and geomorphology." Proceedings of the International Association of Hydrological Sciences 371, no. : 181-187.

Preprint content
Published: 08 May 2015 in SOIL Discussions
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The objective of the presented work was to develop a method to acquire Manning's n by creating very high resolution surface models with Structure from Motion-methods. As hydraulic roughness is an essential parameter for physically based erosion models, a practical measuring technique is valuable during field work. Data acquisition took place during several field experiments in the Lainbach valley, southern Germany and on agricultural sites in Saxony, eastern Germany and in central Brazil. Rill and interrill conditions were simulated by flow experiments. In order to validate our findings stream velocity was measured with colour tracers. Grain sizes were derived by measuring distances from a best fit line to the reconstructed soil surface. Several diameters from D50 to D90 were tested with D90 showing best correlation between tracer experiments and photogrammetrically acquired data. Several roughness parameters were tested (standard deviation, random roughness, Garbrechts n and D90). Best agreement in between the grain size and the hydraulic roughness was achieved with a non-linear sigmoid function and D90 rather than with the Garbrecht equation or statistical parameters.

ACS Style

A. Kaiser; F. Neugirg; F. Haas; J. Schmidt; M. Becht; M. Schindewolf. Determination of hydrological roughness by means of close range remote sensing. SOIL Discussions 2015, 1, 613 -620.

AMA Style

A. Kaiser, F. Neugirg, F. Haas, J. Schmidt, M. Becht, M. Schindewolf. Determination of hydrological roughness by means of close range remote sensing. SOIL Discussions. 2015; 1 (2):613-620.

Chicago/Turabian Style

A. Kaiser; F. Neugirg; F. Haas; J. Schmidt; M. Becht; M. Schindewolf. 2015. "Determination of hydrological roughness by means of close range remote sensing." SOIL Discussions 1, no. 2: 613-620.

Conference paper
Published: 03 March 2015 in Proceedings of the International Association of Hydrological Sciences
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Steep hill slopes in the Bavarian Alps and at an artificial waste dump on the Island of Elba are subject to soil erosion through geomorphological processes. Long-term high-resolution terrestrial LiDAR data are available and have been analysed for both areas. The analysis indicated different erosion patterns on the slopes that could be the result of different geomorphological processes. Additionally, both study sites show a good agreement between the annual erosion rates and the size of the hydrological catchment as a proxy for the sediment contributing area. The results presented in this study represent the first analysis of hill slope erosion measured with LiDAR and UAV systems. The hill slope erosion will be subject to measurements using a higher temporal resolution during future years in order to identify different erosion processes throughout the annual time step.

ACS Style

Fabian Neugirg; Andreas Kaiser; Jurgen Schmidt; Michael Becht; Florian Haas. Quantification, analysis and modelling of soil erosion on steep slopes using LiDAR and UAV photographs. Proceedings of the International Association of Hydrological Sciences 2015, 367, 51 -58.

AMA Style

Fabian Neugirg, Andreas Kaiser, Jurgen Schmidt, Michael Becht, Florian Haas. Quantification, analysis and modelling of soil erosion on steep slopes using LiDAR and UAV photographs. Proceedings of the International Association of Hydrological Sciences. 2015; 367 ():51-58.

Chicago/Turabian Style

Fabian Neugirg; Andreas Kaiser; Jurgen Schmidt; Michael Becht; Florian Haas. 2015. "Quantification, analysis and modelling of soil erosion on steep slopes using LiDAR and UAV photographs." Proceedings of the International Association of Hydrological Sciences 367, no. : 51-58.

Conference paper
Published: 03 March 2015 in Proceedings of the International Association of Hydrological Sciences
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The Alps represent a young, high mountain range which displays strong geomorphological activity. As the major source area in Central Europe, they deliver large quantities of sediment to the lowlands. However, our knowledge on process differentiation is still not sufficient to distinguish between the summer and winter periods of denudation. To increase our understanding of soil detachment, artificial rainfall experiments were carried out to generate data for the physically-based soil erosion model EROSION 2D/3D. Additionally, state-of-the-art, close-range remote sensing methods were applied to validate the results. The first rainfall simulations showed promising results for predicting denudation during the summer period, thus indicating the applicability of this experimental approach. However, further research is required for seasonal dynamics during other times of the year.

ACS Style

Andreas Kaiser; Fabian Neugirg; Marcus Schindewolf; Florian Haas; Jurgen Schmidt. Simulation of rainfall effects on sediment transport on steep slopes in an Alpine catchment. Proceedings of the International Association of Hydrological Sciences 2015, 367, 43 -50.

AMA Style

Andreas Kaiser, Fabian Neugirg, Marcus Schindewolf, Florian Haas, Jurgen Schmidt. Simulation of rainfall effects on sediment transport on steep slopes in an Alpine catchment. Proceedings of the International Association of Hydrological Sciences. 2015; 367 ():43-50.

Chicago/Turabian Style

Andreas Kaiser; Fabian Neugirg; Marcus Schindewolf; Florian Haas; Jurgen Schmidt. 2015. "Simulation of rainfall effects on sediment transport on steep slopes in an Alpine catchment." Proceedings of the International Association of Hydrological Sciences 367, no. : 43-50.

Journal article
Published: 29 July 2014 in Remote Sensing
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This study presents a computer vision application of the structure from motion (SfM) technique in three dimensional high resolution gully monitoring in southern Morocco. Due to impractical use of terrestrial Light Detection and Ranging (LiDAR) in difficult to access gully systems, the inexpensive SfM is a promising tool for analyzing and monitoring soil loss, gully head retreat and plunge pool development following heavy rain events. Objects with known dimensions were placed around the gully scenes for scaling purposes as a workaround for ground control point (GCP) placement. Additionally, the free scaling with objects was compared to terrestrial laser scanner (TLS) data in a field laboratory in Germany. Results of the latter showed discrepancies of 5.6% in volume difference for erosion and 1.7% for accumulation between SfM and TLS. In the Moroccan research area soil loss varied between 0.58 t in an 18.65 m2 narrowly stretched gully incision and 5.25 t for 17.45 m2 in a widely expanded headcut area following two heavy rain events. Different techniques of data preparation were applied and the advantages of SfM for soil erosion monitoring under complex surface conditions were demonstrated.

ACS Style

Andreas Kaiser; Fabian Neugirg; Gilles Rock; Christoph Müller; Florian Haas; Johannes Ries; Jürgen Schmidt. Small-Scale Surface Reconstruction and Volume Calculation of Soil Erosion in Complex Moroccan Gully Morphology Using Structure from Motion. Remote Sensing 2014, 6, 7050 -7080.

AMA Style

Andreas Kaiser, Fabian Neugirg, Gilles Rock, Christoph Müller, Florian Haas, Johannes Ries, Jürgen Schmidt. Small-Scale Surface Reconstruction and Volume Calculation of Soil Erosion in Complex Moroccan Gully Morphology Using Structure from Motion. Remote Sensing. 2014; 6 (8):7050-7080.

Chicago/Turabian Style

Andreas Kaiser; Fabian Neugirg; Gilles Rock; Christoph Müller; Florian Haas; Johannes Ries; Jürgen Schmidt. 2014. "Small-Scale Surface Reconstruction and Volume Calculation of Soil Erosion in Complex Moroccan Gully Morphology Using Structure from Motion." Remote Sensing 6, no. 8: 7050-7080.

Conference paper
Published: 31 August 2021
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ACS Style

Andreas Kaiser; Fabian Neugirg; Florian Haas; Marcus Schindewolf; Jürgen Schmidt. Erosion prediction for alpine slopes: a symbiosis of remote sensing and a physical based erosion model. 2021, 1 .

AMA Style

Andreas Kaiser, Fabian Neugirg, Florian Haas, Marcus Schindewolf, Jürgen Schmidt. Erosion prediction for alpine slopes: a symbiosis of remote sensing and a physical based erosion model. . 2021; ():1.

Chicago/Turabian Style

Andreas Kaiser; Fabian Neugirg; Florian Haas; Marcus Schindewolf; Jürgen Schmidt. 2021. "Erosion prediction for alpine slopes: a symbiosis of remote sensing and a physical based erosion model." , no. : 1.

Conference paper
Published: 31 August 2021
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ACS Style

Andreas Kaiser; Christoph Müller. Erosion research with a digital camera: the structure from motion method used in gully monitoring -field experiments from southern Morocco. 2021, 1 .

AMA Style

Andreas Kaiser, Christoph Müller. Erosion research with a digital camera: the structure from motion method used in gully monitoring -field experiments from southern Morocco. . 2021; ():1.

Chicago/Turabian Style

Andreas Kaiser; Christoph Müller. 2021. "Erosion research with a digital camera: the structure from motion method used in gully monitoring -field experiments from southern Morocco." , no. : 1.