Air quality data - Comunitat Valenciana

PM2.5 maps are a central component of air quality monitoring and epidemiological studies. Modelling of air pollutants using remote sensing data relies heavily on the development of multiple layers of information to train the prediction models. This paper proposes a workflow for mapping PM2.5 based on open data. With a data science approach, the input data were AOD (MODIS), atmospheric variables (MERRA-2), land use (CORINE), terrain elevation (DEM) and ground measurements of PM2.5.

PM2.5浓度分布图（PM2.5 maps）是空气质量监测与流行病学研究的核心组成部分。利用遥感数据开展空气污染物建模的研究，高度依赖多维度信息层的构建以训练预测模型。本文提出了一种基于开放数据的PM2.5浓度制图工作流。本研究采用数据科学方法，输入数据包括由MODIS获取的气溶胶光学厚度（AOD）、MERRA-2数据集的大气变量、CORINE土地利用数据、数字高程模型（DEM）的地形高程数据，以及PM2.5地面实测数据。