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.

本数据集的每日空气污染数据采集时段为2018年5月至2019年6月。数据集包含一份netCDF格式文件，其中存储了Sentinel-5P卫星的观测数据，附带纬度、经度、WGS84投影、观测日期等多项属性，可支持空气污染物的时空观测分析。所采集的数据经Python代码处理后，可识别出空气污染热点区域。该用于处理Sentinel-5P数据的自动化工作流可推广至全球任意其他研究区域。