Close-range airborne Structure-from-Motion Photogrammetry for high-resolution beach morphometric surveys: Examples from an embayed rotating beach

Brunier, Guillaume; Fleury, Jules; Anthony, Edward J.; Gautier, Antoine; Dussouillez, Philippe

doi:10.1016/j.geomorph.2016.02.025

Cited by 124 publications

(93 citation statements)

References 24 publications

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“…Conversely, UAVs in combination with SfM, which is also called a UAV-SfM pipeline, can provide high-resolution information at a low cost for a small area [2,3]. The miniaturization of sensors and the increase in the flight capabilities and agility of UAVs, as well as the high-quality imagery tools that are available have combined to produce a spatial data acquisition tool for environmental monitoring [4][5][6]. Several recent publications have described methods and techniques that measure changes in coastal morphology zones using UAVs [4,7,8].…”

Section: Introductionmentioning

confidence: 99%

“…Several recent publications have described methods and techniques that measure changes in coastal morphology zones using UAVs [4,7,8]. Currently, UAVs are a viable option for collecting remote sensing data for a wide range of practical applications, including scientific, agricultural and environmental applications [4,6,[8][9][10][11][12][13][14][15][16][17][18] Unmanned aerial systems (UAS), which consist of a UAV and a sensor, provide digital images with spatial and temporal resolutions that are capable of overcoming some of the limitations of spatial data acquisition using satellites and airplanes. The resolution of the data commonly available using conventional platforms, such as satellites and manned aircraft, is typically in the range of 20 to 50 cm pixel [19].…”

Section: Introductionmentioning

confidence: 99%

“…Furthermore, the high level of automation, the ease of deployment, the ease of survey repeatability, and the low running costs of UAVs in comparison with other traditional remote sensing methods, allows for frequent missions that provide spatial datasets with a resolution of less than 5 cm and a high temporal repetition due to the ease of survey deployment [12,22,23]. Georeferenced orthophotos and digital surface models (DSMs) are used to measure and depict the morphology of a beach in 2D and 3D, which allows the assessment of changes to the beach due to extreme wave phenomena [6].…”

Section: Introductionmentioning

confidence: 99%

“…Studies have described the adaptation of SfM techniques to process UAV data photography to create an accurate georeferenced 3D point cloud and to generate a high-resolution DSM; SfM techniques have also been used in the orthorectification of georeferenced images that have been joined together to form a mosaic [6,19].…”

Section: Introductionmentioning

confidence: 99%

“…The potential use of the UAV-SfM pipeline has been evaluated in several studies [5,6,8,19,29]. However, references about the use of GEOBIA with the geographic information produced by the UAV-SfM methodology for coastal monitoring are still scarce in the recent scientific bibliography.…”

Section: Introductionmentioning

confidence: 99%

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Coastline Zones Identification and 3D Coastal Mapping Using UAV Spatial Data

Παπακωνσταντίνου

Topouzelis

Pavlogeorgatos

2016

IJGI

112

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Abstract:Spatial data acquisition is a critical process for the identification of the coastline and coastal zones for scientists involved in the study of coastal morphology. The availability of very high-resolution digital surface models (DSMs) and orthophoto maps is of increasing interest to all scientists, especially those monitoring small variations in the earth's surface, such as coastline morphology. In this article, we present a methodology to acquire and process high resolution data for coastal zones acquired by a vertical take off and landing (VTOL) unmanned aerial vehicle (UAV) attached to a small commercial camera. The proposed methodology integrated computer vision algorithms for 3D representation with image processing techniques for analysis. The computer vision algorithms used the structure from motion (SfM) approach while the image processing techniques used the geographic object-based image analysis (GEOBIA) with fuzzy classification. The SfM pipeline was used to construct the DSMs and orthophotos with a measurement precision in the order of centimeters. Consequently, GEOBIA was used to create objects by grouping pixels that had the same spectral characteristics together and extracting statistical features from them. The objects produced were classified by fuzzy classification using the statistical features as input. The classification output classes included beach composition (sand, rubble, and rocks) and sub-surface classes (seagrass, sand, algae, and rocks). The methodology was applied to two case studies of coastal areas with different compositions: a sandy beach with a large face and a rubble beach with a small face. Both are threatened by beach erosion and have been degraded by the action of sea storms. Results show that the coastline, which is the low limit of the swash zone, was detected successfully by both the 3D representations and the image classifications. Furthermore, several traces representing previous sea states were successfully recognized in the case of the sandy beach, while the erosion and beach crests were detected in the case of the rubble beach. The achieved level of detail of the 3D representations revealed new beach characteristics, including erosion crests, berm zones, and sand dunes. In conclusion, the UAV SfM workflow provides information in a spatial resolution that permits the study of coastal changes with confidence and provides accurate 3D visualizations of the beach zones, even for areas with complex topography. The overall results show that the presented methodology is a robust tool for the classification, 3D visualization, and mapping of coastal morphology.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Coastline Zones Identification and 3D Coastal Mapping Using UAV Spatial Data

Παπακωνσταντίνου

Topouzelis

Pavlogeorgatos

2016

IJGI

112

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Using visibility analysis to improve point density and processing time of SfM‐MVS techniques for 3D reconstruction of landforms

Gómez‐Gutiérrez

Biggs

Gudino‐Elizondo

et al. 2020

Earth Surf Processes Landf

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Image network geometry, including the number and orientation of images, impacts the error, coverage, and processing time of 3D terrain mapping performed using structure‐from‐motion and multiview‐stereo (SfM‐MVS). Few studies have quantified trade‐offs in error and processing time or ways to optimize image acquisition in diverse topographic conditions. Here, we determine suitable camera locations for image acquisition by minimizing the occlusion produced by topography. Viewshed analysis is used to select the suitable images, which requires a preliminary digital elevation model (DEM), potential camera locations, and sensor parameters. One aerial and two ground‐based image collections were used to analyse differences between SfM‐MVS models produced using: (1) all available images (ALL); (2) images selected using conventional methods (CON); and (3) images selected using the viewshed analysis (VIEW). The resulting models were compared with benchmark point clouds acquired by a terrestrial laser scanner (TLS) and TLS‐derived DEMs. The VIEW datasets produced denser point clouds (28–32% more points) and DEMs with up to 66% reduction in error compared with CON datasets due to reduction of gaps in the DEM. VIEW datasets reduced processing time by 37–76% compared with ALL, with no reduction in coverage or increase in error. DEMs produced with ALL and VIEW datasets had similar slope and roughness, while slight differences that may be locally important were observed for the CON dataset. The new method helps optimize SfM‐MVS image collection strategies that significantly reduce the number of images required with minimal loss in coverage or accuracy over complex surfaces. © 2020 John Wiley & Sons, Ltd.

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Quantifying decadal volumetric changes along sandy beaches using improved historical aerial photographic models and contemporary data

Carvalho

Allan

Kennedy

et al. 2021

Earth Surf Processes Landf

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Technological advances have reinvigorated the aerial photogrammetric technique using both historical and contemporary imagery, and fostered new perspectives in geomorphology studies. On sandy beaches, however, the dynamic processes, the lack of tonal contrast and reduced texture, make the application of photogrammetry extremely more difficult than in most other landscapes. This study quantifies decadal volumetric changes along the beaches of the Great Ocean Road, Australia, using improved digital surface models (DSMs) derived from structure-from-motion (SfM) photogrammetry applied to historical archives and a contemporary unmanned aerial vehicle survey. Alongside surficial sediment analysis, this approach demonstrates the potential to relate present-day to historical morphological changes at sandy beaches worldwide. The discussion highlights the influence of photographic scale, lens distortions, ground control points in segmented blocks, and the use of shoreline as a proxy of volumetric change. DSMs were

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Close-range airborne Structure-from-Motion Photogrammetry for high-resolution beach morphometric surveys: Examples from an embayed rotating beach

Cited by 124 publications

References 24 publications

Coastline Zones Identification and 3D Coastal Mapping Using UAV Spatial Data

Coastline Zones Identification and 3D Coastal Mapping Using UAV Spatial Data

Using visibility analysis to improve point density and processing time of SfM‐MVS techniques for 3D reconstruction of landforms

Quantifying decadal volumetric changes along sandy beaches using improved historical aerial photographic models and contemporary data

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