CRLC: Cross-resolution national-scale land-cover mapping based on noisy label learning: a case study of China

CRLC are the 10-m resolution land cover maps for China in 2020 achieved by the deep classification network, the estimated overall accuracy is 84.35% ± 0.92%.

Map Information

The CRLC maps include eight land cover classes:

1. Cropland
2. Forest
3. Grass/shrubland
4. Wetland
5. Water bodies
6. Impervious
7. Bareland
8. Snow/ice

Each file name corresponds to a specific region and is structured as follows: N_<lower left longitude>_<lower left latitude>.tif

Download Links

You can download the CRLC maps from the following links:

Google Drive

Zenodo

Baidu Drive (Code: idea)

Reference

If you use the CRLC dataset in your research, please cite the following article:

Liu, Yinhe, et al. "Cross-resolution national-scale land-cover mapping based on noisy label learning: A case study of China." International Journal of Applied Earth Observation and Geoinformation 118 (2023): 103265.

More

You can find more resources and datasets from our group on our website: http://rsidea.whu.edu.cn/resource_sharing.htm.

Any commercial use is not allowed.