Machine learning-based detection and mapping of riverine litter utilizing Sentinel-2 imagery
Machine learning-based detection and mapping of riverine litter utilizing Sentinel-2 imagery
About this item
Full title
Author / Creator
Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
Journal title
Language
English
Formats
Publication information
Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
Subjects
More information
Scope and Contents
Contents
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 (Hungary) as a study area. The Very High Resolution...
Alternative Titles
Full title
Machine learning-based detection and mapping of riverine litter utilizing Sentinel-2 imagery
Authors, Artists and Contributors
Author / Creator
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Primary Identifiers
Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10202999
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10202999
Other Identifiers
ISSN
1614-7499,0944-1344
E-ISSN
1614-7499
DOI
10.1007/s11356-023-27068-0
