Sediment source and volume of soil erosion in a gully system using UAV photogrammetry

Cândido, Bernardo Moreira; James, Michael; Quinton, John; Lima, Wellington de; Silva, Marx Leandro Naves

doi:10.36783/18069657rbcs20200076

Cited by 9 publications

(5 citation statements)

References 44 publications

(56 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The plugin allows direct comparison of point clouds and detects changes with very little manual work. The algorithm is described in several papers (e.g., [32,[68][69][70][71][72]), but the working principle is to find the most appropriate normal direction for points and calculate the distances between point clouds along a cylinder of a given diameter (the projection scale), projected along the normal. The normal scale was defined as 25 times the average local roughness calculated for a point cloud by the CloudCompare, in accordance with the work of Ferrer-González et al [71].…”

Section: Assessment Of Errorsmentioning

confidence: 99%

Post-Nourishment Changes of an Artificial Gravel Pocket Beach Using UAV Imagery

Tadić

Ružić

Krvavica

et al. 2022

JMSE

View full text Add to dashboard Cite

Monitoring and analysis of changes in the volume and area of nourished beaches is crucial to inform any beach renourishment programme. The aim of this study is to utilise UAV surveys and SfM photogrammetry to assess the beach nourishment performance of an artificial gravel beach exposed to a range of external forcing, including storms. The paper presents results from nineteen UAV surveys conducted between January 2020 and January 2021 at Ploče, an artificial beach in Rijeka (Croatia). The beach was nourished twice and eleven storm events, ranging from weak to strong, were recorded during this period. The Agisoft Metashape software was used to obtain point clouds and digital elevation models (DEM) from UAV images; Matlab and CloudCompare were used for further analysis of the DEMs. The accuracy and precision of the DEMs was assessed and uncertainty levels of ±5 cm were applied to all derived DEMs. The study provides new insights into the response of the emerged part of the beach to storms. Predictably, the largest changes were recorded after the first storm following beach nourishment. The longshore variability in the beach response to storms was identified from full 3D point clouds. Most of the lost sediment was from the east side of the beach, while the rest of the beach aligned with the predominant wave direction through cross-shore and longshore processes. Offshore/onshore sediment exchange between the lower and upper beach face on the western side manifested itself in beach profile steepening and berm formations. Overall, changes in beach volume and area were small, indicating that this artificial beach is relatively stable. The embayed layout following the natural coastal configuration appears to be effective in retaining nourished sediment on the beach. This work highlights the need to consider pocket embayed beaches in three dimensions, as traditional transect studies can overlook the three-dimensional behaviour. This study also highlighted the wider potential of UAVs and SfM for studies of high-resolution elevation changes on natural and artificial beaches, as well as for coastal monitoring of beach nourishment.

show abstract

Section: Assessment Of Errorsmentioning

confidence: 99%

Post-Nourishment Changes of an Artificial Gravel Pocket Beach Using UAV Imagery

Tadić

Ružić

Krvavica

et al. 2022

JMSE

View full text Add to dashboard Cite

show abstract

“…), using the Multiscale Model to Model Cloud Comparison (M3C2) algorithm. The M3C2 algorithm was already successfully applied for point cloud-based detection of STCs caused by various geomorphic processes, such as river dynamics [50], soil erosion [27,[51][52][53], rockfalls [12,54], rock glaciers [54][55][56], etc. Since the M3C2 algorithm is a point cloud-based method, it allows detection of complex (3D) soil erosion induced STCs, thus successfully overcoming the shortcomings of DEMs of difference (DoDs) related to the complex morphology of erosional forms [51,52,57].…”

Section: Detection Of Spatio-temporal Changes Within Gully Headcutmentioning

confidence: 99%

“…The M3C2 algorithm was already successfully applied for point cloud-based detection of STCs caused by various geomorphic processes, such as river dynamics [50], soil erosion [27,[51][52][53], rockfalls [12,54], rock glaciers [54][55][56], etc. Since the M3C2 algorithm is a point cloud-based method, it allows detection of complex (3D) soil erosion induced STCs, thus successfully overcoming the shortcomings of DEMs of difference (DoDs) related to the complex morphology of erosional forms [51,52,57]. As DoD represents a 2.5D model, significant errors can occur during the detection of STCs, especially in complex steep and overhanging parts of the terrain where 2.5D models cannot accurately represent the terrain morphology [50,[58][59][60].…”

Section: Detection Of Spatio-temporal Changes Within Gully Headcutmentioning

confidence: 99%

A New Systematic Framework for Optimization of Multi-Temporal Terrestrial LiDAR Surveys over Complex Gully Morphology

et al. 2022

View full text Add to dashboard Cite

Terrestrial LiDAR scanning (TLS) has in preceding years emerged as one of the most accurate and reliable geospatial methods for the creation of very-high resolution (VHR) models over gullies and other complex geomorphic features. Rough terrain morphology and rapid erosion induced spatio-temporal changes (STCs) can lead to significant challenges in multi-temporal field TLS surveys. In this study, we present a newly developed systematic framework for the optimization of multi-temporal terrestrial LiDAR surveys through the implementation of thorough systematic pre-survey planning and field preparation phases. The developed systematic framework is aimed at increase of accuracy and repeatability of multi-temporal TLS surveys, where optimal TLS positions are determined based on visibility analysis. The whole process of selection of optimal TLS positions was automated with the developed TLS positioning tool (TPT), which allows the user to adjust the parameters of visibility analysis to local terrain characteristics and the specifications of available terrestrial laser scanners. Application and validation of the developed framework were carried out over the gully Santiš (1226.97 m2), located at Pag Island (Croatia). Eight optimal TLS positions were determined by the TPT tool, from which planned coverage included almost 97% of the whole gully area and 99.10% of complex gully headcut morphology. In order to validate the performance of the applied framework, multi-temporal TLS surveys were carried out over the gully Santiš in December 2019 and 2020 using the Faro Focus M70 TLS. Field multi-temporal TLS surveys have confirmed the accuracy and reliability of the developed systematic framework, where very-high coverage (>95%) was achieved. Shadowing effects within the complex overhangs in the gully headcut and deeply incised sub-channels were successfully minimalized, thus allowing accurate detection and quantification of erosion induced STCs. Detection of intensive erosion induced STCs within the observed one-year period was carried out for the chosen part of the gully headcut. Most of the detected STCs were related to the mass collapse and gradual uphill retreat of the headcut, where in total 2.42 m2 of soil has been eroded. The developed optimization framework has significantly facilitated the implementation of multi-temporal TLS surveys, raising both their accuracy and repeatability. Therefore, it has great potential for further application over gullies and other complex geomorphic features where accurate multi-temporal TLS surveys are required for monitoring and detection of different STCs.

show abstract

“…UAVs are commonly used in topographic change detection applications thanks to the newly emerged techniques and sensor evolution, resulting in highly efficient data acquisition [58,59]. This advanced and cost-effective technology has led to multiple research applications concerning landscape analysis and erosive process estimation [60][61][62][63]. The use of Structure-from-Motion (SfM) and multi-view stereopsis (MVS) enhances the capability of transforming a large number of overlapping images into 3D point clouds, Digital Terrain Models (DTM) and orthomosaics, even at mm-level accuracy [49,[64][65][66][67].…”

Section: Introductionmentioning

confidence: 99%

Measuring Annual Sedimentation through High Accuracy UAV-Photogrammetry Data and Comparison with RUSLE and PESERA Erosion Models

et al. 2023

View full text Add to dashboard Cite

Model-based soil erosion studies have increased in number, given the availability of geodata and the recent technological advances. However, their accuracy remains rather questionable since the scarcity of field records hinders the validation of simulated values. In this context, this study aims to present a method for measuring sediment deposition at a typical Mediterranean catchment (870 ha) in Greece through high spatial resolution field measurements acquired by an Unmanned Aerial Vehicle (UAV) survey. Three-dimensional modeling is considered to be an emerging technique for surface change detection. The UAV-derived point cloud comparison, applying the Structure-from-Motion (SfM) technique at the Platana sediment retention dam test site, quantified annual topsoil change in cm-scale accuracy (0.02–0.03 m), delivering mean sediment yield of 1620 m3 ± 180 m3 or 6.05 t ha−1yr−1 and 3500 m3 ± 194 m3 or 13 t ha−1yr−1 for the 2020–2021 and 2021–2022 estimation. Moreover, the widely applied PESERA and RUSLE models estimated the 2020–2021 mean sediment yield at 1.12 t ha-1yr−1 and 3.51 t ha-1yr−1, respectively, while an increase was evident during the 2021–2022 simulation (2.49 t ha−1yr−1 and 3.56 t ha−1yr−1, respectively). Both applications appear to underestimate the net soil loss rate, with RUSLE being closer to the measured results. The difference is mostly attributed to the model’s limitation to simulate gully erosion or to a C-factor misinterpretation. To the authors’ better knowledge, this study is among the few UAV applications employed to acquire high-accuracy soil loss measurements. The results proved extremely useful in our attempt to measure sediment yield at the cm scale through UAV-SfM and decipher the regional soil erosion and sediment transport pattern, also offering a direct assessment of the retention dams’ life expectancy.

show abstract

Sediment source and volume of soil erosion in a gully system using UAV photogrammetry

Cited by 9 publications

References 44 publications

Post-Nourishment Changes of an Artificial Gravel Pocket Beach Using UAV Imagery

Post-Nourishment Changes of an Artificial Gravel Pocket Beach Using UAV Imagery

A New Systematic Framework for Optimization of Multi-Temporal Terrestrial LiDAR Surveys over Complex Gully Morphology

Measuring Annual Sedimentation through High Accuracy UAV-Photogrammetry Data and Comparison with RUSLE and PESERA Erosion Models

Contact Info

Product

Resources

About