MUDDAT: A SENTINEL-2 IMAGE-BASED MUDDY WATER BENCHMARK DATASET FOR ENVIRONMENTAL MONITORING.
Creators
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.
Files
Accepted_Abstract_03_15_2024.pdf
Files
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Additional details
Related works
- Continues
- Publication: 10.3390/su151813441 (DOI)
Funding
Dates
- Submitted
-
2024-01-09Paper submission for IGARSS
- Accepted
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2024-03-15Paper acceptance for IGARSS