Abstract
A framework based on color feature extraction of social media photos and correlation analysis with air quality parameters is proposed to monitor environmental change. More specifically, photos of the Beijing Olympic Park from Panoramio website have been analyzed as a case study. The aerosol optical depth data at 500 nm wavelength (AOD 500) obtained from sun-photometer observation network station has been used as reference. Results show a proof of concept that social media photos have an interesting potential for air pollution estimate and remote sensing parameter validation with a low cost.
Original language | English |
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Pages | 1132-1135 |
Number of pages | 4 |
DOIs | |
Publication status | Published - 5 Nov 2018 |
Event | 38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Valencia, Spain Duration: 22 Jul 2018 → 27 Jul 2018 |
Conference
Conference | 38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 |
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Country/Territory | Spain |
City | Valencia |
Period | 22/07/18 → 27/07/18 |
Keywords
- big data
- social media
- remote sensing
- feature exaction
- air pollution monitoring
- image color analysis
- correlation
- aerosols