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The two datasets are stored separately.

The uncompressed file size is 40.3 GB and the compressed size is 18.2 GB. Since github cannot accommodate such a large file size, the two datasets were uploaded to a cloud disks.

There are two places to download them.

OneDrive:

https://1drv.ms/u/s!AkpP3SXbL4Tpg_Mvvq7lstZ_OWNXhg?e=UYidnX 

code: fy4a

Baidu Netdisk:

https://pan.baidu.com/s/16t-448eZbcfthcI-q-d6cw?pwd=6i1j 

code: 6i1j

If the links work improperly, please contact us via wei-jing-bo@163.com.

Please cite the published paper when using these datasets.

J. Wei, C. Zhou, J. Wang, and Z. Chen, "Time-Series FY4A Datasets for Super-Resolution Benchmarking of Meteorological Satellite Images," Remote Sensing, vol. 14, no. 21, p. 5594, 2022.

@article{bib_dataset_fy4asr,    
   author = {Wei, Jingbo and Zhou, Chenghao and Wang, Jingsong and Chen, Zhou},       
   title = {Time-Series FY4A Datasets for Super-Resolution Benchmarking of Meteorological Satellite Images},       
   journal = {Remote Sensing},       
   volume = {14},       
   number = {21},       
   pages = {5594},       
   year = {2022},       
   type = {Journal Article}       
}

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