WHUS2-CD+ dataset for sentinel-2 cloud detection validation

WHUS2-CD+ is a cloud validation detection dataset for Sentinel-2A images. WHUS2-CD+ contains 36 manually labeled cloud masks at 10m resolution and corresponding Sentinel-2A images evenly distributed over China mainland.

If you use this dataset for your research, please cite us accordingly:

#Reference: 

[1] J. Li, Z. Wu, Z. Hu, C. Jian, S. Luo, L. Mou, X. Zhu, and M. Molinier, "A lightweight deep learning based cloud detection method for Sentinel-2A imagery fusing multi-scale spectral and spatial features," in IEEE Transactions on Geoscience and Remote Sensing, 2021. https://doi.org/10.1109/TGRS.2021.3069641.

[2] Z. Wu, J. Li, Y. Wang, Z. Hu and M. Molinier, "Self-Attentive Generative Adversarial Network for Cloud Detection in High Resolution Remote Sensing Images," in IEEE Geoscience and Remote Sensing Letters, vol. 17, no. 10, pp. 1792-1796, Oct. 2020. https://doi.org/10.1109/LGRS.2019.2955071.

The training and testing list is (The challenging senes are marked in bold):

Training set

S2A_MSIL1C_20190714T043711_N0208_R033_T46TFN_20190714T073938

S2A_MSIL1C_20191219T040151_N0208_R004_T47SQU_20191219T055033

S2A_MSIL1C_20190630T045701_N0207_R119_T45SWC_20190630T080543

S2A_MSIL1C_20191215T042151_N0208_R090_T46RGV_20191215T065406

S2A_MSIL1C_20180930T044701_N0206_R076_T45SXR_20180930T074413

S2A_MSIL1C_20200317T024541_N0209_R132_T51TWM_20200317T053350

S2A_MSIL1C_20180816T053641_N0206_R005_T44TKK_20180816T093424

S2A_MSIL1C_20191023T040821_N0208_R047_T47TQF_20191023T074550

S2A_MSIL1C_20180824T031541_N0206_R118_T50TKL_20180824T061636

S2A_MSIL1C_20191118T025011_N0208_R132_T50RMN_20191118T071843

S2A_MSIL1C_20190916T023551_N0208_R089_T50RQS_20190916T042547

S2A_MSIL1C_20190819T031541_N0208_R118_T49SFU_20190819T065332

S2A_MSIL1C_20190815T051651_N0208_R062_T44TPN_20190815T090034

S2A_MSIL1C_20200410T022551_N0209_R046_T51TXG_20200410T042047

S2A_MSIL1C_20191002T025551_N0208_R032_T50TQQ_20191002T054113

S2A_MSIL1C_20180429T032541_N0206_R018_T49SCV_20180429T062304

S2A_MSIL1C_20200506T024551_N0209_R132_T51UWS_20200506T043639

S2A_MSIL1C_20200325T034531_N0209_R104_T47RQL_20200325T065315

S2A_MSIL1C_20190928T031541_N0208_R118_T49RBJ_20190928T061248

S2A_MSIL1C_20180827T032541_N0206_R018_T48RYV_20180827T062627

S2A_MSIL1C_20200222T030731_N0209_R075_T49QEE_20200222T060244

S2A_MSIL1C_20180722T030541_N0206_R075_T49RFP_20180722T060550

S2A_MSIL1C_20180729T025551_N0206_R032_T49RGL_20180729T055945

S2A_MSIL1C_20200506T024551_N0209_R132_T50SPE_20200506T052918

Testing set

S2A_MSIL1C_20180930T030541_N0206_R075_T49QDD_20180930T060706

S2A_MSIL1C_20191105T023901_N0208_R089_T51STR_20191105T054744

S2A_MSIL1C_20190812T032541_N0208_R018_T48RXU_20190812T070322

S2A_MSIL1C_20190602T021611_N0207_R003_T52TES_20190602T042019

S2A_MSIL1C_20190328T033701_N0207_R061_T49TCF_20190328T071457

S2A_MSIL1C_20191001T050701_N0208_R019_T45TXN_20191002T142939

S2A_MSIL1C_20200416T042701_N0209_R133_T46SFE_20200416T074050

S2A_MSIL1C_20200528T050701_N0209_R019_T44SPC_20200528T082127

S2A_MSIL1C_20210207T023851_N0209_R089_T52UCU_20210207T040210

S2A_MSIL1C_20210126T052111_N0209_R062_T44SNE_20210126T063836

S2A_MSIL1C_20210102T054231_N0209_R005_T43SFB_20210102T065941

S2A_MSIL1C_20201206T041141_N0209_R047_T47SMV_20201206T053320