TY  - Data
T1  - A fine-grained urban green space mapping dataset for 31 major cities in China based on deep learning framework
A1  - Shi Qian
A1  - Liu Mengxi
DO  - 10.57760/sciencedb.07049
PY  - 2023
DA  - 2023-12-27
PB  - National Cryosphere Desert Data Center
AB  - The UGS-1m product provides fine-grained UGS maps of 31 major cities in China generated based on a deep learning (DL) framework. This generator is a fully convolutional network (UGSNet) designed specifically for UGS extraction, which integrates attention mechanism to improve the discriminative power of UGS and adopts point tearing strategy for edge recovery. The discriminator is a fully connected network designed to handle domain shifts between images. The detailed description of the dataset is as follows:  1. UGS-1m.zip: A fine-grained UGS map product for 31 major cities in China;   2. UGSet.rip: A large benchmark dataset that supports and promotes UGS research;   3. GUB_Datazip: Global city boundary data for each city;   4. GE_imagery_dataFrame.rip: Google Earth image grid data in ". shp" format, providing image composition for each city;   5. Other Zip files named after city names: Google Earth images of each city.
DB  - NCDC
UR  - http://www.ncdc.ac.cn/portal/metadata/ebb37465-45ac-4aaf-81f1-8f8612e79e4d
ER  -