Authors: Moumtzidou, Anastasia; Papadopoulos, Symeon; Vrochidis, Stefanos; Kompatsiaris, Ioannis; Kourtidis, Konstantinos; Hloupis, George; Stavrakas, Ilias; +2 Authors

doi: 10.5281/zenodo.4295799 , 10.5281/zenodo.4295798

Collection of Multimodal Environmental Data for Air Quality Estimation

- Summary
- Subjects
- Metrics

Abstract

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 and is expected to result in increased geographical coverage and temporal granularity of air quality data.

Related Organizations

Democritus University of Thrace
Greece
Draxis Environmental Technologies (Greece)
Greece
Centre for Research and Technology Hellas
Greece

Keywords

Machine learning, Air quality, Image analysis

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average