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dc.contributor.authorAnsh Shankar, 20SCSE1180088
dc.contributor.authorDhruv Varshney, 20SCSE1180139
dc.date.accessioned2024-09-17T11:05:59Z
dc.date.available2024-09-17T11:05:59Z
dc.date.issued2024-04
dc.identifier.urihttp://10.10.11.6/handle/1/18070
dc.descriptionSCHOOL OF COMPUTING SCIENCE AND ENGINEERING DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING GALGOTIAS UNIVERSITY, GREATER NOIDA INDIAen_US
dc.description.abstractGarbage patches in the world's oceans are a growing environmental concern, with the Indian Ocean experiencing its share of marine debris accumulation. This research employs remote sensing techniques with Sentinel-2 satellite data to identify and monitor garbage patches in the Indian Ocean. Sentinel-2's Multi Spectral Imagery (MSI) provides valuable ocean colour information, enabling the detection and characterization of these pollution hotspots. This study presents a comprehensive analysis of the application of Sentinel-2 data for the remote sensing of Indian Ocean garbage patches, focusing on the acquisition, preprocessing, and analysis of MSI imagery. By leveraging the unique capabilities of Sentinel-2, we gain insights into the spatial and temporal dynamics of garbage accumulation in the Indian Ocean, contributing to our understanding of this critical environmental issue. The results demonstrate the utility of Sentinel-2 in monitoring and managing marine debris in the Indian Ocean, offering valuable information for policymakers and environmental agencies working towards effective mitigation strategies.en_US
dc.language.isoen_USen_US
dc.publisherGalgotias Universityen_US
dc.subjectRemote sensingen_US
dc.subjectGarbage patchesen_US
dc.subjectIndian Oceanen_US
dc.titleRemote sensing Garbage patches in the Indian Ocean using Sentinel-2en_US
dc.typeTechnical Reporten_US


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