Potential Industrial Vacant Land of 4 Representative Chinese Resource-Based cities

Published: 31 August 2023| Version 2 | DOI: 10.17632/jzvcgcxd9f.2
yihao sun, Han Hu, Yawen Han, ZiYan Wang, Xiaodi Zheng


This is the supplementary data to the paper "Large-scale automatic identification of Industrial Vacant Land: An open-source approach using semantic segmentation of remote sensing images and multi-source data", which shows the potential industrial vacant land identification results in Tangshan, Huangshi, and Xinyu, which are 3 representative Chinese resource-based cities. The files include the shapefile label files of potential industrial vacant land in 3 cities, and the corresponding RS image, which have been segmented into 256px * 256px rasters. The filename formats are as follows: (1) Label: LB (2) Rs image: YX The code is available at https://github.com/Sunyh20/Large-scale-Automatic-Identification-of-Industrial-Vacant-Land. ———————————————————————————————————————————————————— Version 2: we added 106 Labels of the potential industrial vacant land in Wuhai City, Inner Mongolia, a resource-based city in China. The relevant data is located in the folder named: add_Wuhai. These labels can be combined with the data in the "YB" folder for better model training.



Tsinghua University, Purdue University


Land Use


National Key Research and Development Program of China