Low-cost UAV monitoring: insights into seasonal volumetric changes of an oyster reef in the German Wadden Sea

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dc.identifier.uri http://dx.doi.org/10.15488/15659
dc.identifier.uri https://www.repo.uni-hannover.de/handle/123456789/15780
dc.contributor.author Hoffmann, Tom K.
dc.contributor.author Pfennings, Kai
dc.contributor.author Hitzegrad, Jan
dc.contributor.author Brohmann, Leon
dc.contributor.author Welzel, Mario
dc.contributor.author Paul, Maike
dc.contributor.author Goseberg, Nils
dc.contributor.author Wehrmann, Achim
dc.contributor.author Schlurmann, Torsten
dc.date.accessioned 2023-12-06T10:29:05Z
dc.date.available 2023-12-06T10:29:05Z
dc.date.issued 2023
dc.identifier.citation Hoffmann, T.K.; Pfennings, K.; Hitzegrad, J.; Brohmann, L.; Welzel, M. et al.: Low-cost UAV monitoring: insights into seasonal volumetric changes of an oyster reef in the German Wadden Sea. In: Frontiers in Marine Science 10 (2023), 1245926. DOI: https://doi.org/10.3389/fmars.2023.1245926
dc.description.abstract This study aims to quantify the dimensions of an oyster reef over two years via low-cost unoccupied aerial vehicle (UAV) monitoring and to examine the seasonal volumetric changes. No current study investigated via UAV monitoring the seasonal changes of the reef-building Pacific oyster (Magallana gigas) in the German Wadden Sea, considering the uncertainty of measurements and processing. Previous studies have concentrated on classifying and mapping smaller oyster reefs using terrestrial laser scanning (TLS) or hyperspectral remote sensing data recorded by UAVs or satellites. This study employed a consumer-grade UAV with a low spectral resolution to semi-annually record the reef dimensions for generating digital elevation models (DEM) and orthomosaics via structure from motion (SfM), enabling identifying oysters. The machine learning algorithm Random Forest (RF) proved to be an accurate classifier to identify oysters in low-spectral UAV data. Based on the classified data, the reef was spatially analysed, and digital elevation models of difference (DoDs) were used to estimate the volumetric changes. The introduction of propagation errors supported determining the uncertainty of the vertical and volumetric changes with a confidence level of 68% and 95%, highlighting the significant change detection. The results indicate a volume increase of 22 m³ and a loss of 2 m³ in the study period, considering a confidence level of 95%. In particular, the reef lost an area between September 2020 and March 2021, when the reef was exposed to air for more than ten hours. The reef top elevation increased from -15.5 ± 3.6 cm NHN in March 2020 to -14.8 ± 3.9 cm NHN in March 2022, but the study could not determine a consistent annual growth rate. As long as the environmental and hydrodynamic conditions are given, the reef is expected to continue growing on higher elevations of tidal flats, only limited by air exposure. The growth rates suggest a further reef expansion, resulting in an increased roughness surface area that contributes to flow damping and altering sedimentation processes. Further studies are proposed to investigate the volumetric changes and limiting stressors, providing robust evidence regarding the influence of air exposure on reef loss. eng
dc.language.iso eng
dc.publisher Lausanne : Frontiers Media
dc.relation.ispartofseries Frontiers in Marine Science 10 (2023)
dc.rights CC BY 4.0 Unported
dc.rights.uri https://creativecommons.org/licenses/by/4.0/
dc.subject Magallana gigas eng
dc.subject remote sensing eng
dc.subject monitoring eng
dc.subject classification eng
dc.subject random forest eng
dc.subject error propagation eng
dc.subject ecosystem engineer eng
dc.subject.ddc 550 | Geowissenschaften ger
dc.title Low-cost UAV monitoring: insights into seasonal volumetric changes of an oyster reef in the German Wadden Sea
dc.type Article
dc.type Text
dc.relation.essn 2296-7745
dc.relation.doi https://doi.org/10.3389/fmars.2023.1245926
dc.bibliographicCitation.volume 10
dc.bibliographicCitation.firstPage 1245926
dc.description.version publishedVersion
tib.accessRights frei zug�nglich


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