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Datasets:
giswqs
/
s2-water-dataset

Tasks:
Image Segmentation
Modalities:
Image
Geospatial
Formats:
imagefolder
Size:
< 1K
Tags:
remote-sensing
sentinel-2
water-detection
semantic-segmentation
earth-observation
Libraries:
Datasets
License:
Dataset card Data Studio Files
xet
 Community
Dataset Viewer
The dataset viewer is not available for this dataset.
The JWT signature verification failed. Check the signing key and the algorithm.
Error code:   JWTInvalidSignature
Exception:    InvalidSignatureError
Message:      Signature verification failed
Traceback:    Traceback (most recent call last):
                File "/src/libs/libapi/src/libapi/jwt_token.py", line 286, in validate_jwt
                  decoded = jwt.decode(
                      jwt=token,
                  ...<2 lines>...
                      options=options,
                  )
                File "/usr/local/lib/python3.14/site-packages/jwt/api_jwt.py", line 368, in decode
                  decoded = self.decode_complete(
                      jwt,
                  ...<8 lines>...
                      leeway=leeway,
                  )
                File "/usr/local/lib/python3.14/site-packages/jwt/api_jwt.py", line 265, in decode_complete
                  decoded = self._jws.decode_complete(
                      jwt,
                  ...<3 lines>...
                      detached_payload=detached_payload,
                  )
                File "/usr/local/lib/python3.14/site-packages/jwt/api_jws.py", line 270, in decode_complete
                  self._verify_signature(
                  ~~~~~~~~~~~~~~~~~~~~~~^
                      signing_input,
                      ^^^^^^^^^^^^^^
                  ...<4 lines>...
                      options=merged_options,
                      ^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/jwt/api_jws.py", line 417, in _verify_signature
                  raise InvalidSignatureError("Signature verification failed")
              jwt.exceptions.InvalidSignatureError: Signature verification failed

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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",
}
Downloads last month
100
Source
Zenodo
Paper
An applicable and automatic method for earth surface water mapping based on multispectral images
Author
: Xin Luo, Xiaohua Tong, Zhongwen Hu
Code
WatNet GitHub
License
: CC-BY-4.0
Total file size:
1.23 GB

Models trained or fine-tuned on giswqs/s2-water-dataset