Earth System Science Data
Earth System Science Data
Earth System Science Data
Articles | Volume 15, issue 2
Articles | Volume 15, issue 2
https://doi.org/10.5194/essd-15-555-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-15-555-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 15, issue 2
Data description paper
 | 
03 Feb 2023
Data description paper |  | 03 Feb 2023

UGS-1m: fine-grained urban green space mapping of 31 major cities in China based on the deep learning framework

Qian Shi, Mengxi Liu, Andrea Marinoni, and Xiaoping Liu

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Short summary
A large-scale and high-resolution urban green space (UGS) product with 1 m of 31 major cities in China (UGS-1m) is generated based on a deep learning framework to provide basic UGS information for relevant UGS research, such as distribution, area, and UGS rate. Moreover, an urban green space dataset (UGSet) with a total of 4454 samples of 512 × 512 in size are also supplied as the benchmark to support model training and algorithm comparison.
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