Datasets:

giswqs
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s2-water-dataset

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Earth Surface Water Dataset (Sentinel-2)

A dataset for training deep learning models to detect surface water from Sentinel-2 satellite imagery.

Dataset Structure

├── tra_scene/    # 64 training Sentinel-2 scenes (6-band GeoTIFF, uint16)
├── tra_truth/    # 64 training ground truth masks (binary GeoTIFF, uint8)
├── val_scene/    # 31 validation Sentinel-2 scenes
└── val_truth/    # 31 validation ground truth masks

Sentinel-2 Bands

The 6 bands included are:

Band	Name	Wavelength (nm)	Resolution
B2	Blue	490	10m
B3	Green	560	10m
B4	Red	665	10m
B8	NIR	842	10m
B11	SWIR1	1610	20m
B12	SWIR2	2190	20m

Labels

Binary classification:

0: Background (non-water)
1: Water

Image Properties

Format: GeoTIFF
Image dtype: uint16
Label dtype: uint8
Dimensions: Variable (868x764 to 1351x1246 pixels)
Total: 95 scene-label pairs (64 train + 31 validation)

Citation

@ARTICLE{Luo2021-te,
  title     = "{An applicable and automatic method for earth surface water
               mapping based on multispectral images}",
  author    = "Luo, Xin and Tong, Xiaohua and Hu, Zhongwen",
  journal   = "International Journal of Applied Earth Observation and
               Geoinformation",
  publisher = "Elsevier BV",
  volume    =  103,
  pages     =  102472,
  year      =  2021,
  url       = "http://dx.doi.org/10.1016/j.jag.2021.102472",
  doi       = "10.1016/j.jag.2021.102472",
  issn      = "1569-8432,1872-826X",
}