Monitoring concepts for an evaluation of marine environmental states in the German Bight

Winter, Christian

doi:10.1007/s00367-017-0496-4

Cited by 5 publications

(3 citation statements)

References 13 publications

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“…If the virtual reality object has no movement or reaction, then the virtual reality is lonely, has no vitality, and is meaningless to the virtual reality. Virtual reality is essentially a simulation or refraction of the target world, and a virtual reality model is an object or object representative of the target world [11]. Regarding application system development tools, the key to virtual reality applications is to find suitable occasions and objects.…”

Section: Mobile Information Systemsmentioning

confidence: 99%

Marine Environment Monitoring Based on Virtual Reality and Fuzzy C-Means Clustering Algorithm

Zhu

Han

2021

Mobile Information Systems

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In modern society, with the rapid increase of population and the serious shortage of resources, the marine environment has been destroyed; there are also many people who go out to sea without permission, regardless of the legal constraints, fishing. This kind of behavior leads the marine environment to get worse and worse, so the real-time monitoring of the marine environment is very necessary. The main article marine environment monitoring, virtual reality technology, and fuzzy C-means clustering algorithm combine to improve the efficiency of monitoring and processing power of the data information. Through the application of virtual reality technology in the marine environment monitoring base and real-time simulation of the dynamics of the ocean, the monitoring personnel can understand the emergencies on the sea in time; the fuzzy C-means clustering algorithm is applied to the server receiving the data to classify the data. It is found in the experiment that when virtual reality technology and fuzzy C-means clustering algorithm are not used, the data of marine environment monitoring takes more than 1.3 s to return to the server, but, after applying two advanced technologies, the return efficiency is greatly improved, and the time consumed is less than 0.82 s. The results show that virtual reality technology and fuzzy C-means clustering algorithm can improve the efficiency of environmental monitoring, and through virtual reality technology, real-time monitoring of the marine environment can be achieved; in the absence of people out to sea, the actual situation on the sea can be clearly understood; and fuzzy C-means clustering algorithm can improve the speed of data processing, so that the monitoring personnel can solve the problem faster.

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Section: Mobile Information Systemsmentioning

confidence: 99%

Marine Environment Monitoring Based on Virtual Reality and Fuzzy C-Means Clustering Algorithm

Zhu

Han

2021

Mobile Information Systems

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“…Conservation, protection, and suitable management of these environments require precise knowledge about their occurrence, structure and spatial diversity, their status, and their environmental conditions [13,14]. This system knowledge also informs reporting to guidelines such as the Marine Strategy Framework Directive (MSFD, 2008/56/EC) [15] and the Habitat Directive (HD 92/43/EEC annex 1 1170-reefs) [16,17].…”

Section: Introductionmentioning

confidence: 99%

Dynamics of Stone Habitats in Coastal Waters of the Southwestern Baltic Sea (Hohwacht Bay)

et al. 2021

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Cobbles and boulders on the seafloor are of high ecological value in their function as habitats for a variety of benthic species, contributing to biodiversity and productivity in marine environments. We investigate the origin, physical shape, and structure of habitat-forming cobbles and boulders and reflect on their dynamics in coastal environments of the southwestern Baltic Sea. Stone habitats are not limited to lag deposits and cannot be sufficiently described as static environments, as different dynamic processes lead to changes within the physical habitat structure and create new habitats in spatially disparate areas. Dynamic processes such as (a) ongoing exposure of cobbles and boulders from glacial till, (b) continuous overturning of cobbles, and (c) the migration of cobbles need to be considered. A distinction between allochthonous and autochthonous habitats is suggested. The genesis of sediment types indicates that stone habitats are restricted to their source (glacial till), but hydrodynamic processes induce a redistribution of individual cobbles, leading to the development of new coastal habitats. Thus, coastal stone habitats need to be regarded as dynamic and are changing on a large bandwidth of timescales. In general, wave-induced processes changing the physical structure of these habitats do not occur separately but rather act simultaneously, leading to a dynamic type of habitat.

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“…Hard-bottom substrates occurring in the Baltic Sea are generally stones (θ 6.3-20 cm) and boulders (θ 20-630 cm) [8]. The need for mapping and understanding small-scale seabed features like stone and boulder assemblages, combined with habitat assessment, is growing significantly, as European legislations and directives are demanding the documentation and monitoring of environmental states [9]. Due to their valuable characteristics, hard-bottom substrates (e.g., stones and boulders) are protected in the Baltic Sea by the European Habitats Directive (HD 92/43/EEC annex 1 1170-reefs) [10].…”

Section: Introductionmentioning

confidence: 99%

Limitations of Boulder Detection in Shallow Water Habitats Using High-Resolution Sidescan Sonar Images

2019

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Stones and boulders in shallow waters (0–10 m water depth) form complex geo-habitats, serving as a hardground for many benthic species, and are important contributors to coastal biodiversity and high benthic production. This study focuses on limitations in stone and boulder detection using high-resolution sidescan sonar images in shallow water environments of the southwestern Baltic Sea. Observations were carried out using sidescan sonars operating with frequencies from 450 kHz up to 1 MHz to identify individual stones and boulders within different levels of resolution. In addition, sidescan sonar images were generated using varying survey directions for an assessment of range effects. The comparison of images of different resolutions reveals considerable discrepancies in the numbers of detectable stones and boulders, and in their distribution patterns. Results on the detection of individual stones and boulders at approximately 0.04 m/pixel resolution were compared to common discretizations: it was shown that image resolutions of 0.2 m/pixel may underestimate available hard-ground settlement space by up to 42%. If methodological constraints are known and considered, detailed information about individual stones and boulders, and potential settlement space for marine organisms, can be derived.

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Monitoring concepts for an evaluation of marine environmental states in the German Bight

Cited by 5 publications

References 13 publications

Marine Environment Monitoring Based on Virtual Reality and Fuzzy C-Means Clustering Algorithm

Marine Environment Monitoring Based on Virtual Reality and Fuzzy C-Means Clustering Algorithm

Dynamics of Stone Habitats in Coastal Waters of the Southwestern Baltic Sea (Hohwacht Bay)

Limitations of Boulder Detection in Shallow Water Habitats Using High-Resolution Sidescan Sonar Images

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