Role in CaRe-GR
Active in WP2, Task 2.1 (large-scale mapping of shallow reefs through remote sensing), developing the data pre-processing and classification scripts in Google Earth Engine.
Biography
Spyros is a PhD candidate at the German Aerospace Center (DLR) and a DLR/DAAD scholarship holder. His PhD research focuses on understanding and utilizing the spatially-explicit uncertainty of Machine-Learning-derived Earth Observation products. He holds a BSc in Marine Sciences from the Department of Marine Sciences, University of the Aegean and MSc in Geography and Applied Geoinformatics from the Department of Geography, University of the Aegean. Spyros’ interests revolve around monitoring of seagrass and better comprehending the climate change impact at the coastal ecosystems. In practice, he focuses on the mapping of shallow-water benthic habitats by integrating satellite data, cloud-computing, and advanced machine learning and deep learning techniques.
Within the CaRe-GR project, he is participating at WP2: Mapping reefs and marine caves in Greece, Task 2.1: Large-scale mapping of shallow reefs through remote sensing by developing the data pre-processing and classification scripts within Google Earth Engine (GEE).
Spyros has published two papers on the quantification of uncertainty of ML products, co-authored papers related to coastal remote sensing and has also contributed as a co-author on the Benthic Habitats chapter of Google’s e-book ‘Cloud-Based Remote Sensing with Google Earth Engine’. He has presented his work at a range of international conferences, spanning from the Geo for Good summits to major geoscience gatherings such as AGU, EGU, and LPS. His research sits at the intersection of marine ecology, geospatial technology, and artificial intelligence, with broad implications for coastal monitoring and conservation.