EENA2019: Track3 session3 Social media, machine learning and crowdsourcing for rapid mapping_Mariano Alfonso Biscardi
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In this session, experts will brief you on standards related to public warning and on solutions developed within EU projects that could be used by emergency services in case of disaster.
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Semelhante a EENA2019: Track3 session3 Social media, machine learning and crowdsourcing for rapid mapping_Mariano Alfonso Biscardi
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EENA2019: Track3 session3 Social media, machine learning and crowdsourcing for rapid mapping_Mariano Alfonso Biscardi
- 1. ©e-GEOS2019 Social Media, Machine Learning and Crowdsourcing for Rapid Mapping Mariano Alfonso Biscardi
- 2. ©e-GEOS2019 Mariano Alfonso Biscardi - Pre-operational use of Social Media analysis and Crowdsourcing for improving rapid mapping The E2mC Project https://www.e2mc-project.eu/ Mariano Alfonso Biscardi - Pre-operational use of Social Media analysis and Crowdsourcing for improving rapid mapping
- 3. ©e-GEOS2019 Mariano Alfonso Biscardi - Pre-operational use of Social Media analysis and Crowdsourcing for improving rapid mapping Project Coordinator Project Partners The E2mC Project – The partners
- 4. ©e-GEOS2019 Mariano Alfonso Biscardi - Pre-operational use of Social Media analysis and Crowdsourcing for improving rapid mapping Reference Map Delineation Map The Copernicus EMS Rapid Mapping System
- 5. ©e-GEOS2019 Mariano Alfonso Biscardi - Pre-operational use of Social Media analysis and Crowdsourcing for improving rapid mapping • Timeliness: not yet fully achieved • Delay: most of the waiting time depends on the availability of the first usable post event satellite image • Tasking: Social Media can help to better understand the context • Map quality: the existing layers quality can be improved thanks to in-situ data • Optical Satellite Limitations: the acquisitions are influenced by the weather and the day/night • SAR Satellite Limitations: mapping floods in the urban and forestry areas is still difficult due to technical limitations • New contents: a Social Crisis Map could be provided as a new informative layer The Copernicus EMS – What can be enhanced
- 6. ©e-GEOS2019 Mariano Alfonso Biscardi - Pre-operational use of Social Media analysis and Crowdsourcing for improving rapid mapping The E2mC Project – The vision
- 7. ©e-GEOS2019 Mariano Alfonso Biscardi - Pre-operational use of Social Media analysis and Crowdsourcing for improving rapid mapping • Multiple sources: Twitter, Flickr, Youtube, GDELT • Multi-language: about 40 languages supported like English, Spanish, Chinese, Arabic, German, French, Portoguese, Italian… • Multiple events: Support for Flood, Windstorm/Hurricane, Earthquake, Fire • Automatic geolocation extraction: using NLP with quality ranking when native geolocation is not present • Automatic filtering: filtering of the posts containing relevant content using Deep Learning • Crowd validation: enhance post geolocation and validate relevant content The E2mC Project – The Features
- 8. ©e-GEOS2019 Early Warning Component Manual Activation Crowdsourcing Natural Language Processing + Artificial Intelligence Hot Spot Analysis Social Networks + News Aggregators WebGIS Platform Data Crawling Data analysisService activation Data API Data exploitation Mariano Alfonso Biscardi - Pre-operational use of Social Media analysis and Crowdsourcing for improving rapid mapping The E2mC Project – The architecture
- 9. ©e-GEOS2019 The Witness WebGIS The Crowd4EMS platform Mariano Alfonso Biscardi - Pre-operational use of Social Media analysis and Crowdsourcing for improving rapid mapping The E2mC workbench
- 10. ©e-GEOS2019 Mariano Alfonso Biscardi - Pre-operational use of Social Media analysis and Crowdsourcing for improving rapid mapping The Witness AI: exploiting images to detect Flooded areas
- 11. ©e-GEOS2019 Mariano Alfonso Biscardi - Pre-operational use of Social Media analysis and Crowdsourcing for improving rapid mapping The Witness Algorithms: NLP to extract the post geolocation
- 12. ©e-GEOS2019 Mariano Alfonso Biscardi - Pre-operational use of Social Media analysis and Crowdsourcing for improving rapid mapping The Crowd4EMS Platform: enhancing geolocation by using the crowd
- 13. ©e-GEOS2019 MY CONTACTS Mariano Alfonso Biscardi e-Geos S.p.A. E-mail: mariano.biscardi@e-geos.it Tel.: +39 06 40793383 https://www.e2mc-project.eu/ LINK TO THE OFFICIAL WEBSITE Mariano Alfonso Biscardi - Pre-operational use of Social Media analysis and Crowdsourcing for improving rapid mapping