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

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

Description

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.

Files

Institutions

Tsinghua University, Purdue University

Categories

Land Use

Funding

National Key Research and Development Program of China

2020YFC1807505

Licence