Using Earth Observation Application to Air Quality in Addition to in-situ monitoring: HARMONIA IRAP platform

The effect of air quality (AQ) on public health after the COVID-19 pandemic attracted more attention although this undeniable link was studied before. Such diseases caused or accelerated by the air pollution levels has a long list including respiratory, cardiovascular, and lung disease. There are different associations between air pollution and the diseases i.e., long-term, short-term exposure and finally higher levels of air pollution. To improve a healthy environment in urban areas, increasing AQ is a must and in-situ monitoring is one method to track it. To combine in-situ monitored data and earth observation (EO) data could provide an efficient way to collect data in different temporal resolution, analyze, detect any existing anomalies, eventually provide a model for possible scenarios through climate change. This paper will discuss the benefits and challenges lie under the combination of in-situ and EO data in this framework. It will present the suggested integrated resilience assessment platform (IRAP) that is under development in the HARMONIA project (in respond to the topic LC-CLA-19-2020 and its added value on this field. The IRAP platform will eventually utilize the GEOSS datasets, along with other data collections, and adopt proper Deep Learning techniques in an effort to build robust, comprehensive data cube objects, which are considered to be the state-of-the-art solution to store and organize EO data. Information extracted from the datacubes will be visualized in the integrated graphical user interface of the platform in order to inform municipalities and citizens for potential climate change related risks and vulnerabilities.