2023
DOI: 10.1016/j.marpolbul.2023.115746
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Marine plastic pollution detection and identification by using remote sensing-meta analysis

Muhammad Waqas,
Man Sing Wong,
Alessandro Stocchino
et al.
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Cited by 12 publications
(1 citation statement)
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“…For instance, in the case of snow pollutants, i.e., black carbon, there is a lack of universally developed algorithms (Beltramone et al, 2021). Another emblematic issue is related to water-color applications, where most efforts are oriented towards developing models and implement algorithms based on biological causes (e.g., phytoplankton) rather than on organic/inorganic micro/nanoparticles (e.g., microplastics (Waqas et al, 2023), silicates (Wójcik-Długoborska et al, 2022) and acid drain mining residues (Isgró et al, 2022)). In these cases, nanotechnology applied to field detection and characterization can become an indispensable tool to address this gap.…”
Section: Introductionmentioning
confidence: 99%
“…For instance, in the case of snow pollutants, i.e., black carbon, there is a lack of universally developed algorithms (Beltramone et al, 2021). Another emblematic issue is related to water-color applications, where most efforts are oriented towards developing models and implement algorithms based on biological causes (e.g., phytoplankton) rather than on organic/inorganic micro/nanoparticles (e.g., microplastics (Waqas et al, 2023), silicates (Wójcik-Długoborska et al, 2022) and acid drain mining residues (Isgró et al, 2022)). In these cases, nanotechnology applied to field detection and characterization can become an indispensable tool to address this gap.…”
Section: Introductionmentioning
confidence: 99%