Table 4.

Existing datasets for waterbody extraction and water quality monitoring.

Datasets	Source	Category	Link to the Dataset	Notes
DeepWaterMap v2	[40]	Water body	https://github.com/isikdogan/deepwatermap, accessed on 15 December 2021	>1 TB of Landsat-7 imagery paired with Global Inland Water dataset labels.
2020 GaoFen Challenge	/	Water body	https://github.com/AICyberTeam/2020Gaofen, accessed on 15 December 2021	Dataset containing both 2500 optical and 1200 SAR satellite images with pixel level labels for water body segmentation.
GID-15	[79]	Water body	https://captain-whu.github.io/GID15/, accessed on 15 December 2021	150 pixel-level annotated GaoFen-2 images for semantic segmentation tasks.
LandCover.ai	[80]	Water body	https://landcover.ai/, accessed on 15 December 2021	A dataset from 2015–2018 of 10,674 annotated tiles of RGB imagery with labeled water bodies.
SEN12MS	[81]	Water body	https://mediatum.ub.tum.de/1474000, accessed on 15 December 2021	A curated dataset of 180, 662 georeferenced multispectral Sentinel-1 and -2 imagery with MODIS land cover labels.
AquaSat	[82]	Water quality	https://github.com/GlobalHydrologyLab/AquaSat, accessed on 15 December 2021	600,000 data matchups between satellite imagery and water quality measurements from 1984–2019.
Forel–Ule Index	[83]	Water quality	https://doi.org/10.6084/m9.figshare.13014299, accessed on 15 December 2021	151 data matchups between satellite imagery and water quality measurements from 2000–2018.