Spatio-temporal data on the air pollutant nitrogen dioxide derived from Sentinel satellite

The daily air pollution data was collected from May 2018 to June 2019. The data consists of a netCDF file containing Sentinel-5P measurements with multiple attributes (e.g., latitude/longitude, WGS84 projection, and date of measurement), allowing both spatial and temporal observations of air pollutants. The collected data are processed by a Python code, which gives air pollution hotspots. The automated workflow to process Sentinel 5P data is transferable to any other study area on the globe.本数据集的逐日空气污染数据采集时段为2018年5月至2019年6月。 该数据集包含一个netCDF（网络通用数据格式）文件，其中存储有哨兵5P（Sentinel-5P）的观测数据，并附带多种属性字段（例如纬度/经度、WGS84坐标系投影、测量日期等），可实现空气污染的时空联合观测。 采集得到的原始数据已通过Python代码完成处理，可输出空气污染热点区域。 本数据集针对哨兵5P数据的自动化处理流程，可迁移至全球任意其他研究区域。