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Machine learning-based detection and mapping of riverine litter utilizing Sentinel-2 imagery
Despite the substantial impact of rivers on the global marine litter problem, riverine litter has been accorded inadequate consideration. Therefore, our objective was to detect riverine litter by utilizing middle-scale multispectral satellite images and machine learning (ML), with the Tisza River (H...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Berlin Heidelberg
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10202999/ https://www.ncbi.nlm.nih.gov/pubmed/37118393 http://dx.doi.org/10.1007/s11356-023-27068-0 |