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

Monitoring of air pollution is an important task in public health. Availability of data is often hindered by the paucity of the ground monitoring station network. We present here a new spatio-temporal dataset collected and processed from the Sentinel-5P remote sensing platform aiming at the monitoring of air pollution for public institutions. As an example application, we applied the full workflow to process measurements of Nitrogen dioxide (NO2) collected over the territory of mainland France from May 2018 to June 2019. The data stack generated is daily measurements at a 4×7km spatial resolution. The supplementary code package used to collect and process the data is made publicly available to ease the access and processing for any location and product. The dataset provided in this article is of value for policy-makers and health assessment. Please find the full dataset in a Dropbox shared repository using this link: https://drive.google.com/drive/folders/1t5vbQq1g0LtJa37Sc6NYoq45bkLP2EWp?usp=sharing The raw data file is zipped to save disk space. The original raw data have a size of 60 Gigabyte大气污染监测是公共卫生领域的一项重要工作。数据的可获取性往往受限于地面监测站网络的覆盖匮乏。本文介绍了一套全新的时空（spatio-temporal）数据集，该数据集依托哨兵5P（Sentinel-5P）遥感平台采集并处理而来，旨在为公共机构开展大气污染监测提供支撑。作为示例应用，我们完整执行了全流程工作流，处理了2018年5月至2019年6月期间法国本土上空采集的二氧化氮（Nitrogen dioxide, NO2）观测数据。生成的数据栈为空间分辨率4×7公里的逐日观测结果。本研究公开了用于数据采集与处理的配套代码包，以简化任意区域与监测产物的数据获取及处理流程。本文发布的数据集可为政策制定者与健康评估工作提供重要数据价值。 完整数据集可通过以下Dropbox共享仓库链接获取：https://drive.google.com/drive/folders/1t5vbQq1g0LtJa37Sc6NYoq45bkLP2EWp?usp=sharing 原始数据文件已进行压缩以节省磁盘空间，单份原始数据总容量达60吉字节。