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}
}