2018
DOI: 10.1016/j.marpolbul.2018.04.045
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Use of unmanned aerial vehicles for efficient beach litter monitoring

Abstract: A global beach litter assessment is challenged by use of low-efficiency methodologies and incomparable protocols that impede data integration and acquisition at a national scale. The implementation of an objective, reproducible and efficient approach is therefore required. Here we show the application of a remote sensing based methodology using a test beach located on the Saudi Arabian Red Sea coastline. Litter was recorded via image acquisition from an Unmanned Aerial Vehicle, while an automatic processing of… Show more

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Cited by 158 publications
(125 citation statements)
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“…Garaba et al 2018) or by automated processing of digital imagery developed through machine learning (e.g. Martin et al 2018). The current suite of satellite missions has varying geo-spatial and spectral capabilities (Garaba and Zielinski 2015, Greb et al 2018).…”
Section: Remote Sensingmentioning
confidence: 99%
“…Garaba et al 2018) or by automated processing of digital imagery developed through machine learning (e.g. Martin et al 2018). The current suite of satellite missions has varying geo-spatial and spectral capabilities (Garaba and Zielinski 2015, Greb et al 2018).…”
Section: Remote Sensingmentioning
confidence: 99%
“…Potential ways forward include using UAVs or spaceborne remote sensing to monitor riverine plastic transport. Martin et al (2018) presented an approach to automatically monitor plastic litter on beaches. In similar spirit, Geraeds et al (2019) developed an approach for riverine plastic litter monitoring.…”
Section: Monitoringmentioning
confidence: 99%
“…Washed ashore, floating and slightly submerged marine debris has been monitored using high-resolution cameras on fixed platforms (Kako et al, 2018), shipborne (Hanke and Gonzalez-Fernandez, 2014), airborne (e.g., Veenstra and Churnside, 2012;Kataoka et al, 2017;Martin et al, 2018;Moy et al, 2018) and satellites (e.g., Matthews et al, 2017;Topouzelis et al, 2019). Generally this technique is applied to the visible spectrum (400-700 nm) by making true color RGB composite images.…”
Section: High Spatial Resolution Imagingmentioning
confidence: 99%