SinoLC-1: the first 1-meter resolution national-scale land-cover map of China created with the deep learning framework and open-access data (User guide V2.4)

The User Guide V2.4 of the SinoLC-1 land-cover product. The SinoLC-1 was created by the Low-to-High Network (L2HNet), which can be found at: L2HNet. A more detailed description of the data can be found in the paper. More related work can be found at my homepage.

Click to check all the data versions and download the data (点击查看/下载所有数据版本)

NOTE: If you have any data needs, questions, or technical issues, contact us at ashelee@whu.edu.cn (Zhuohong Li, 李卓鸿).

The land-cover mapping method with Python code is open-access at Code link. You can now update the high-resolution land-cover map by yourself with the code! The updated method is accepted by CVPR 2024 (Paper link).

我们的最新制图算法被计算机视觉顶会CVPR2024接收(Paper link),代码开源在:Code link,您可以利用该代码高效地更新自己数据集的高分土地覆盖图。

Citation format of the paper:
Li, Z., He, W., Cheng, M., Hu, J., Yang, G., and Zhang, H.: SinoLC-1: the first 1 m resolution national-scale land-cover map of China created with a deep learning framework and open-access data, Earth Syst. Sci. Data, 15, 4749–4780, https://doi.org/10.5194/essd-15-4749-2023, 2023. 

BibTex format of the paper:

• @Article{essd-15-4749-2023, 
• AUTHOR = {Li, Z. and He, W. and Cheng, M. and Hu, J. and Yang, G. and Zhang, H.},
• TITLE = {SinoLC-1: the first 1 m resolution national-scale land-cover map of China created with a deep learning framework and open-access data},
• JOURNAL = {Earth System Science Data}
• ,VOLUME = {15},
• YEAR = {2023},
• NUMBER = {11},
• PAGES = {4749--4780}, 
• DOI = {10.5194/essd-15-4749-2023}
• }