Towards Air Quality Estimation Using Collected Multimodal Environmental Data
| Autor: | Konstantinos Kourtidis, Christodoulos Keratidis, Ioannis Kompatsiaris, Anastasia Moumtzidou, Konstantina Papachristopoulou, Symeon Papadopoulos, Stefanos Vrochidis, George Hloupis, Ilias Stavrakas |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Estimation
Open platform 010504 meteorology & atmospheric sciences Computer science Novelty 02 engineering and technology Sensor fusion computer.software_genre 01 natural sciences Data science Environmental data 13. Climate action 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Social media Granularity Data mining Air quality index computer 0105 earth and related environmental sciences |
| Zdroj: | Collective Online Platforms for Financial and Environmental Awareness ISBN: 9783319502366 IFIN/ISEM@INSCI |
| DOI: | 10.1007/978-3-319-50237-3_7 |
| Popis: | This paper presents an open platform, which collects multimodal environmental data related to air quality from several sources including official open sources, social media and citizens. Collecting and fusing different sources of air quality data into a unified air quality indicator is a highly challenging problem, leveraging recent advances in image analysis, open hardware, machine learning and data fusion. The collection of data from multiple sources aims at having complementary information, which is expected to result in increased geographical coverage and temporal granularity of air quality data. This diversity of sources constitutes also the main novelty of the platform presented compared with the existing applications. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|