中国城市郊区范围数据集(2012-2020年)

该数据为中国郊区范围数据集，可用时间序列为2012年至2020年，范围为中国大陆地区。处理方法为基于SNPP-VIIRS夜间灯光数据，首先利用K-means算法识别2012-2020年中国城市郊区的近似范围；进一步地，通过时间一致性检查和规则制定，优化郊区和城区边界以得出最终郊区范围。再次，依据“城区—郊区—农村”的过渡性特征以及替换类DMSP-OLS夜间灯光遥感数据和突变检测法验证郊区识别结果，进而得到中国郊区范围数据集（2012-2020年）。数据存储格式为GeoTIFF，空间分辨率为500m。

This dataset is the China suburban area extent dataset, with a valid time series covering 2012 to 2020, and its scope covers mainland China. The processing workflow is based on SNPP-VIIRS nighttime light data. First, the K-means clustering algorithm is used to identify the approximate suburban extents of Chinese urban areas for the period 2012–2020. Furthermore, temporal consistency checks and rule-based boundary optimization are applied to refine the boundaries between suburban and urban regions, yielding the final suburban extent. Subsequently, the identified suburban results are validated based on the transitional gradient characteristics of "urban-suburban-rural", combined with DMSP-OLS nighttime light remote sensing data and breakpoint detection methods, thereby finalizing the China suburban area extent dataset (2012–2020). The data is stored in GeoTIFF format with a spatial resolution of 500 meters.