Published May 3, 2023
| Version v1
Dataset
Open
Unlabeled Sentinel 2 time series dataset : Self-Supervised Spatio-Temporal Representation Learning of Satellite Image Time Series
Creators
- 1. CESBIO - Centre d'études spatiales de la biosphère
Description
This repository list all the available repositories, to load the unlabeled Sentinel 2 (S2) L2A dataset used in the pre-print article "Self-Supervised Spatio-Temporal Representation Learning Of Satellite Image Time Series". This dataset is composed of patch time series acquired over France. For further details, see section IV.A of the pre-print article, available here. Each patch is constituted of the 10 bands [B2,B3,B4,B5,B6,B7,B8,B8A,B11,B12] and the three masks ['CLM_R1', 'EDG_R1', 'SAT_R1']. The global dataset is composed of two disjoint datasets: training (9 tiles) and validation dataset (4 tiles).
- The validation dataset is available here : 10.5281/zenodo.7890452
- The training dataset is composed of 9 zenodo repositories, one for each S2 tiles. Here are the available repositories:
- T31UEP 10.5281/zenodo.7899943
- T31TGJ 10.5281/zenodo.7899237
- T30TYS 10.5281/zenodo.7924193
- T31TFN 10.5281/zenodo.7896621
- T31TDL 10.5281/zenodo.7896082
- T31TDJ 10.5281/zenodo.7895498
- T30UVU 10.5281/zenodo.7892410
- T30TYQ 10.5281/zenodo.7890542
- T30TXT 10.5281/zenodo.7875977
| Dataset name | S2 tiles | ROI size | Temporal extent |
| Train |
T30TXT,T30TYQ,T30TYS,T30UVU, T31TDJ,T31TDL,T31TFN,T31TGJ,T31UEP |
1024*1024 | 2018-2020 |
| Val | T30TYR,T30UWU,T31TEK,T31UER | 256*256 | 2016-2019 |
Files
README.md
Files
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Additional details
Related works
- Is described by
- Preprint: https://hal.science/hal-04084839 (URL)
- Is required by
- Software: https://src.koda.cnrs.fr/iris.dumeur/ssl_ubarn.git (URL)
Funding
- DeepChange – Deep generative models for detecting land cover changes from satellite image times series ANR-20-CE23-0003
- Agence Nationale de la Recherche