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MUDDAT: A SENTINEL-2 IMAGE-BASED MUDDY WATER BENCHMARK DATASET FOR ENVIRONMENTAL MONITORING. - MaRDI portal

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MUDDAT: A SENTINEL-2 IMAGE-BASED MUDDY WATER BENCHMARK DATASET FOR ENVIRONMENTAL MONITORING.

From MaRDI portal



DOI10.5281/zenodo.11220437Zenodo11220437MaRDI QIDQ6697281

Dataset published at Zenodo repository.

Author name not available (Why is that?)

Publication date: 20 May 2024

Copyright license: No records found.



Description

This is a dataset for mapping muddy waters based on Sentinel-2 (L2A products) satellite imagery. The image data are saved as GeoTIFF files and metadata files are provided in json format. There are 19 images in total, based on 16 distinct European Areas of Interest (AOIs), covering a total of 9 countries such as: Greece Italy France Spain Belgium UK Sweden Finland and Serbia From the Sentinel-2 L2A products were extracted 10 spectral bands and then resampled to a 10m spatial resolution. All spectral bands used can be found in the Metadata/Source files. The annotated images comprise 3 classes, "Non-muddy", "Muddy" and "Ambiguous". More details about the annotation methodology can be found on the accepted abstract (file:Accepted_Abstract_03_15_2024.pdf) or the published paper, that you can find here: 10.1109/IGARSS53475.2024.10642051.






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