Assistant Professor @ the Agricultural University of Athens
Konstantinos Demestichas is an Assistant Professor at the Informatics Laboratory of the Agricultural University of Athens.
He received his Diploma (2005), as well as his PhD degree in Telecommunications (2009), from the School of Electrical and Computer Engineering of the National Technical University of Athens (NTUA). He also holds an MBA degree (2012) in Techno-Economic Systems through the joint postgraduates’ programme of NTUA and University of Piraeus, as well as an MSc degree in Quality Assurance (2015) from the Hellenic Open University.
Before joining the Agricultural University of Athens, he served as a researcher at the Institute of Communication and Computer Systems in Athens, and also as a lecturer at NTUA, the University of Western Macedonia, the University of West Attica and the Hellenic Open University.
Since 2005, he has been actively involved in several European and national research projects. He was the concept initiator and primary proposal author of several EU funded projects. He has served as scientific or project coordinator in EU funder projects from the Security and ICT domains, such as in INLIFE, MAGNETO, PREVISION, SocialTruth, ALAMEDA, and others.
He has participated in the Technical Program Committees of international conferences and has assisted as a reviewer and editor in top ranked scientific journals. He has authored over 160 publications and has also served as a technical expert for the European Commission.
Saturday 11.Nov / 14:20
The purpose of the workshop is to help attendees understand how optical satellite images work, how they are processed to extract results from wildfire events and predict the severity of a potential wildfire event.
They will learn about the data sources that are needed to predict the severity of wildfire events, like EFFIS, NASA Power, Sentinel-2, etc.
They will also learn how to process ESA’s COPERNICUS Sentinel-2 data using ESA’s SNAP software. SNAP is an open source common architecture for ESA Toolboxes ideal for the exploitation of Earth Observation data.TAGS: #AI, #EarthObservation