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

CRLC are the 10-meter resolution land cover maps for China in 2020 achieved by a deep classification network.

The maps include eight land cover classes:

1: Cropland

2: Forest

3: Grass/shrubland

5: Wetland

6: Water bodies

8: Impervious

9: Bareland

10: Snow/ice

Reference:

@article{liu2023cross,
title={Cross-resolution national-scale land-cover mapping based on noisy label learning: A case study of China},
author={Liu, Yinhe and Zhong, Yanfei and Ma, Ailong and Zhao, Ji and Zhang, Liangpei},
journal={International Journal of Applied Earth Observation and Geoinformation},
volume={118},
pages={103265},
year={2023},
publisher={Elsevier}
}