遇见数据集

Unlabeled Sentinel 2 time series dataset : Self-Supervised Spatio-Temporal Representation Learning of Satellite Image Time Series

收藏
Zenodo2025-04-09 更新2026-05-26 收录
官方服务:

资源简介:

This repository list all the available repositories, to load the unlabeled Sentinel 2 (S2) L2A dataset used in the 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

提供机构:
Zenodo
创建时间:
2023-05-03
二维码
社区交流群
二维码
科研交流群
商业服务