Passive Remote Sensing Using Drone and HD Camera for Mapping Surf Zone Bathymetry

Ahn, Kyungmo; Oh, Chaeyoun; Park, Y. S.; Park, S. W.

doi:10.1007/978-981-15-0291-0_67

Cited by 2 publications

(1 citation statement)

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“…Several scientific studies have assessed the accuracy of UAV-borne remote sensing for seabed mapping or derivation of the water depth using different approaches and methodologies, such as small topo-bathymetric laser profilers [54,55], SfM and photogrammetry [56][57][58][59], RGB images [60][61][62], video techniques or fluid lensing technology [63,64], and, in gravel bed clear river water, multispectral linear transform models [65,66] or hyperspectral data [67]. All of these methods have weaknesses and strengths in bathymetric applications with a low DEM accuracy and results that cannot be used to obtain a detailed 3D terrain model are useful for coastal monitoring programs or marine engineering projects.…”

Section: Introductionmentioning

confidence: 99%

UAV-Derived Multispectral Bathymetry

Rossi¹,

Mammi²,

Pelliccia³

2020

Remote Sensing

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Bathymetry is considered an important component in marine applications as several coastal erosion monitoring and engineering projects are carried out in this field. It is traditionally acquired via shipboard echo sounding, but nowadays, multispectral satellite imagery is also commonly applied using different remote sensing-based algorithms. Satellite-Derived Bathymetry (SDB) relates the surface reflectance of shallow coastal waters to the depth of the water column. The present study shows the results of the application of Stumpf and Lyzenga algorithms to derive the bathymetry for a small area using an Unmanned Aerial Vehicle (UAV), also known as a drone, equipped with a multispectral camera acquiring images in the same WorldView-2 satellite sensor spectral bands. A hydrographic Multibeam Echosounder survey was performed in the same period in order to validate the method’s results and accuracy. The study area was approximately 0.5 km2 and located in Tuscany (Italy). Because of the high percentage of water in the images, a new methodology was also implemented for producing a georeferenced orthophoto mosaic. UAV multispectral images were processed to retrieve bathymetric data for testing different band combinations and evaluating the accuracy as a function of the density and quantity of sea bottom control points. Our results indicate that UAV-Derived Bathymetry (UDB) permits an accuracy of about 20 cm to be obtained in bathymetric mapping in shallow waters, minimizing operative expenses and giving the possibility to program a coastal monitoring surveying activity. The full sea bottom coverage obtained using this methodology permits detailed Digital Elevation Models (DEMs) comparable to a Multibeam Echosounder survey, and can also be applied in very shallow waters, where the traditional hydrographic approach requires hard fieldwork and presents operational limits.

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