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

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

SPADA Inferences

This dataset provides Land Cover inference maps of SPADA model on 12 bands Sentinel-2 tiles from different areas and years, mainly Safers pilot areas.

Dataset Content

The Land Cover map tiles are stored as 2048x2048 raster TIFFs.

The 9 inferred classes are:

0: Artificial
1: Bare vegetation
2: Wetlands
3: Water
4: Grassland
5: Agricultural
6: Broadleaved forest
7: Coniferous forest
8: Shrubs
255: Ignored

Dataset Structure

The dataset is organized by year and further subdivided by model or target area as follows:

spada-inferences
├── 2018
│   └── SPADA_B5_Pilot
│       ├── Catalonia_2018_0_4_MAP.tif
|       ├── Catalonia_2018_0_5_MAP.tif
|       └── ...
├── 2019
│   ├── SPADA_B5_Pilot
│   └── SPADA_B5_V2
└── ...

Licensing Information

CC-BY-NC-ND-4.0 https://creativecommons.org/licenses/by-nc-nd/4.0/

Contributions

Marco Galatola (marco.galatola@linksfoundation.com)
Edoardo Arnaudo (edoardo.arnaudo@linksfoundation.com)
Luca Barco (luca.barco@linksfoundation.com)

Acknowledgements

This dataset was created in the context of the H2020 SAFERS project, under G.A. n. 869353, and HEU OVERWATCH project, under G.A. n.101082320, with the support of the EU Agency for the Space Programme (EUSPA). More information:

Downloads last month: 13

Total file size:

12.4 GB