Literature DB >> 29273243

Mapping coastal marine debris using aerial imagery and spatial analysis.

Kirsten Moy1, Brian Neilson2, Anne Chung3, Amber Meadows3, Miguel Castrence4, Stephen Ambagis4, Kristine Davidson3.   

Abstract

This study is the first to systematically quantify, categorize, and map marine macro-debris across the main Hawaiian Islands (MHI), including remote areas (e.g., Niihau, Kahoolawe, and northern Molokai). Aerial surveys were conducted over each island to collect high resolution photos, which were processed into orthorectified imagery and visually analyzed in GIS. The technique provided precise measurements of the quantity, location, type, and size of macro-debris (>0.05m2), identifying 20,658 total debris items. Northeastern (windward) shorelines had the highest density of debris. Plastics, including nets, lines, buoys, floats, and foam, comprised 83% of the total count. In addition, the study located six vessels from the 2011 Tōhoku tsunami. These results created a baseline of the location, distribution, and composition of marine macro-debris across the MHI. Resource managers and communities may target high priority areas, particularly along remote coastlines where macro-debris counts were largely undocumented.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Keywords:  Aerial imagery; Hawaii; Marine debris; Plastic; Remote sensing; Tōhoku tsunami

Mesh:

Substances:

Year:  2017        PMID: 29273243     DOI: 10.1016/j.marpolbul.2017.11.045

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


  5 in total

1.  Identifying floating plastic marine debris using a deep learning approach.

Authors:  Kyriaki Kylili; Ioannis Kyriakides; Alessandro Artusi; Constantinos Hadjistassou
Journal:  Environ Sci Pollut Res Int       Date:  2019-04-18       Impact factor: 4.223

2.  Boundary Determination of Lake-Type Wetland Park Based on GIS Multifactor Analysis.

Authors:  Guodong Chen; Peng Tang; Hao Wang
Journal:  Comput Intell Neurosci       Date:  2022-06-06

3.  Fate identification and management strategies of non-recyclable plastic waste through the integration of material flow analysis and leakage hotspot modeling.

Authors:  Aprilia Nidia Rinasti; Indradhi Faisal Ibrahim; Kavinda Gunasekara; Thammarat Koottatep; Ekbordin Winijkul
Journal:  Sci Rep       Date:  2022-09-29       Impact factor: 4.996

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

5.  Litter Detection with Deep Learning: A Comparative Study.

Authors:  Manuel Córdova; Allan Pinto; Christina Carrozzo Hellevik; Saleh Abdel-Afou Alaliyat; Ibrahim A Hameed; Helio Pedrini; Ricardo da S Torres
Journal:  Sensors (Basel)       Date:  2022-01-11       Impact factor: 3.576

  5 in total

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