MegaSense addresses the global challenge pertaining to pollution modelling and prediction, while considering the limitations of the state of the art: low density of measurement stations and lack of high-resolution spatial-temporal data.
Our mission is to use machine learning techniques for the calibration of a high number of low-cost sensors with a small number of highly accurate measurement stations.
The MegaSense programme established by the University of Helsinki in 2017, enables solutions by gathering and fusing spatially variable gas and particulate measurements from high-end scientific instruments, commercial air quality transmitters, dense low-cost sensor arrays, and consumer wearables utilizing 4G and 5G technologies.
The MegaSense concept is coordinated by the University of Helsinki and applies world class scientific expertise in Atmospheric Science, Computer Science and GeoInformatics.
The credibility of MegaSense concept and potential is emerging through City of Helsinki Air Quality projects Urban Sense and UIA HOPE, as well as through International pilots.