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2020年中国各城市建成区数据
Dataset Overview
To monitor and evaluate the United Nations urban land use efficiency indicator, this dataset uses Sentinel-1/SAR and Sentinel-2/optical data to extract impervious surfaces and convert them into built-up areas based on the Google Earth Engine platform, covering 433 Chinese cities with a population of over 300,000 in 2020. The impervious surface has an average overall accuracy of 95.57% and a Kappa coefficient of 0.91, with a goodness of fit R²=0.82 with the official statistical yearbook. Its accuracy is higher than GlobeLand30(2020) and Urban Extents(2020), and it can be used for urban expansion analysis, environmental evaluation, and SDG11.3.1 indicator monitoring.
Dataset Details
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Product Number: CBAS2025RJ030
Create Institution: Big Earth Data Center, CAS
Created By: SUN Zhongchang, SUN Jie, GUO Huadong, et al.
Creation Date: 2025-10-20 10:49:37
File Size: 1
Data Format: shp
Type Of Data: 矢量
Data Label:
