Literature DB >> 21939986

At-sea detection of marine debris: overview of technologies, processes, issues, and options.

Thomas H Mace1.   

Abstract

At-sea detection of marine debris presents a difficult problem, as the debris items are often relatively small and partially submerged. However, they may accumulate in water parcel boundaries or eddy lines. The application of models, satellite radar and multispectral data, and airborne remote sensing (particularly radar) to focus the search on eddies and convergence zones in the open ocean appear to be a productive avenue of investigation. A multistage modeling and remote sensing approach is proposed for the identification of areas of the open ocean where debris items are more likely to congregate. A path forward may best be achieved through the refinement of the Ghost Net procedures with the addition of a final search stage using airborne radar from an UAS simulator aircraft to detect zones of potential accumulation for direct search. Sampling strategies, direct versus indirect measurements, remote sensing resolution, sensor/platform considerations, and future state are addressed.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 21939986     DOI: 10.1016/j.marpolbul.2011.08.042

Source DB:  PubMed          Journal:  Mar Pollut Bull        ISSN: 0025-326X            Impact factor:   5.553


  4 in total

1.  Mapping marine debris across coastal communities in Belize: developing a baseline for understanding the distribution of litter on beaches using geographic information systems.

Authors:  Paulita Bennett-Martin; Christy C Visaggi; Timothy L Hawthorne
Journal:  Environ Monit Assess       Date:  2016-09-10       Impact factor: 2.513

2.  Aquatic debris detection using embedded camera sensors.

Authors:  Yong Wang; Dianhong Wang; Qian Lu; Dapeng Luo; Wu Fang
Journal:  Sensors (Basel)       Date:  2015-01-30       Impact factor: 3.576

3.  Aerial and underwater drones for marine litter monitoring in shallow coastal waters: factors influencing item detection and cost-efficiency.

Authors:  Gabriela Escobar-Sánchez; Greta Markfort; Mareike Berghald; Lukas Ritzenhofen; Gerald Schernewski
Journal:  Environ Monit Assess       Date:  2022-10-11       Impact factor: 3.307

4.  Quantification of floating riverine macro-debris transport using an image processing approach.

Authors:  Tomoya Kataoka; Yasuo Nihei
Journal:  Sci Rep       Date:  2020-02-10       Impact factor: 4.379

  4 in total

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