Study of wave runup using numerical models and low-altitude aerial photogrammetry: A tool for coastal management

Casella, Elisa; Rovere, Alessio; Pedroncini, Andrea; Mucerino, Luigi; Casella, Marco; Cusati, Luis Alberto; Vacchi, Matteo; Ferrari, Marco; Firpo, Marco

doi:10.1016/j.ecss.2014.08.012

Cited by 102 publications

(66 citation statements)

References 23 publications

(12 reference statements)

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“…Using UAVs is now widespread across a range of disciplines (Anderson and Gaston 2013;Liu et al 2014;Smith et al 2016). The most popular environmental applications are: landslide monitoring (Lucieer et al 2014a), measuring changes in coastal morphology (Casella et al 2014;Gonçalves and Henriques 2015;Papakonstantinou et al 2016), monitoring glacier movement (Immerzeel et al 2014;Ryan et al 2015), studying Antarctic moss beds (Lucieer et al 2014b), soil erosion monitoring (d'Oleire-Oltmanns et al 2012), fluvial geomorphology (Mori et al 2002;Tamminga et al 2015;Woodget et al 2015) and forest research (Tang and Shao 2015;Wallace et al 2012). These studies are conducted using different UAV platforms delivered by various manufacturers (i.e., hybrid, flapping-wing, fixed-wing, coaxial, duct-fan, single rotor, and multi-rotor).…”

Section: Methodsmentioning

confidence: 99%

Application of Low-Cost Fixed-Wing UAV for Inland Lakes Shoreline Investigation

Templin

Popielarczyk

Kosecki

2017

Pure Appl. Geophys.

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Abstract-One of the most important factors that influences the performance of geomorphologic parameters on urban lakes is the water level. It fluctuates periodically, causing shoreline changes. It is especially significant for typical environmental studies like bathymetric surveys, morphometric parameters calculation, sediment depth changes, thermal structure, water quality monitoring, etc. In most reservoirs, it can be obtained from digitized historical maps or plans or directly measured using the instruments such as: geodetic total station, GNSS receivers, UAV with different sensors, satellite and aerial photos, terrestrial and airborne light detection and ranging, or others. Today one of the most popular measuring platforms, increasingly applied in many applications is UAV. Unmanned aerial system can be a cheap, easy to use, on-demand technology for gathering remote sensing data. Our study presents a reliable methodology for shallow lake shoreline investigation with the use of a low-cost fixed-wing UAV system. The research was implemented on a small, eutrophic urban inland reservoir located in the northern part of Poland-Lake Suskie. The geodetic TS, and RTK/GNSS measurements, hydroacoustic soundings and experimental aerial mapping were conducted by the authors in 2012-2015. The article specifically describes the UAV system used for experimental measurements, the obtained results and the accuracy analysis. Final conclusions demonstrate that even a lowcost fixed-wing UAV can provide an excellent tool for accurately surveying a shallow lake shoreline and generate valuable geoinformation data collected definitely faster than when traditional geodetic methods are employed.

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Section: Methodsmentioning

confidence: 99%

Application of Low-Cost Fixed-Wing UAV for Inland Lakes Shoreline Investigation

Templin

Popielarczyk

Kosecki

2017

Pure Appl. Geophys.

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“…Limited by the meteorological conditions (wind speed inferior to 70-80 km/h and no rain) and the study area size (typically of the order of 1km²), UAV and photogrammetric process present advantage to generate 3D point cloud and Digital Surface Model (DSM) with accuracy closed to LiDAR DSM (Haala, 2009). Several studies have demonstrated the performance of this survey process on coastal areas (Casella et al, 2016;Gonçalves and Henriques, 2015;Casella et al, 2014;Mancini et al, 2013) with a vertical accuracy of the DEM around +/-10 cm.…”

Section: Introductionmentioning

confidence: 99%

Accuracy Assessment of Coastal Topography Derived From Uav Images

Long

Millescamps

Pouget

et al. 2016

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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To monitor coastal environments, Unmanned Aerial Vehicle (UAV) is a low-cost and easy to use solution to enable data acquisition with high temporal frequency and spatial resolution. Compared to Light Detection And Ranging (LiDAR) or Terrestrial Laser Scanning (TLS), this solution produces Digital Surface Model (DSM) with a similar accuracy. To evaluate the DSM accuracy on a coastal environment, a campaign was carried out with a flying wing (eBee) combined with a digital camera. Using the Photoscan software and the photogrammetry process (Structure From Motion algorithm), a DSM and an orthomosaic were produced. Compared to GNSS surveys, the DSM accuracy is estimated. Two parameters are tested: the influence of the methodology (number and distribution of Ground Control Points, GCPs) and the influence of spatial image resolution (4.6 cm vs 2 cm). The results show that this solution is able to reproduce the topography of a coastal area with a high vertical accuracy (< 10 cm). The georeferencing of the DSM require a homogeneous distribution and a large number of GCPs. The accuracy is correlated with the number of GCPs (use 19 GCPs instead of 10 allows to reduce the difference of 4 cm); the required accuracy should be dependant of the research problematic. Last, in this particular environment, the presence of very small water surfaces on the sand bank does not allow to improve the accuracy when the spatial resolution of images is decreased.

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“…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]. 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.…”

Section: Introductionmentioning

confidence: 99%

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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Study of wave runup using numerical models and low-altitude aerial photogrammetry: A tool for coastal management

Cited by 102 publications

References 23 publications

Application of Low-Cost Fixed-Wing UAV for Inland Lakes Shoreline Investigation

Application of Low-Cost Fixed-Wing UAV for Inland Lakes Shoreline Investigation

Accuracy Assessment of Coastal Topography Derived From Uav Images

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

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