2022-08-26, 10:15–10:20 (Europe/Rome), Room Limonaia
The objective of ARCOS is to design and implement an early-warning system providing continuous monitoring of the Arctic Region. Designed to generate actionable products in the security domain by processing and fusing multi-sensor data, the system integrates available information from space, non-space sources and products available from multiple Copernicus services.
ARCOS generates information at three different levels of scale and user interaction:
1) Level 1: Automatic Early-warning System. Integration of space and non-space data sources for the triggering of alarms on the region when certain conditions happens. Automatic early-warnings are generated in case anomalous behaviours are detected. For this wide-area monitoring, automatic extraction of analytics and AI techniques are applied.
2) Level 2: User-Driven Alert System, where space and non-space data is processed on specific locations provided by the user. The alarms can be configured based contextual information based on the user input.
3) Level 3: Geospatial Intelligence Products. Following early-warnings generated in Level 1 or 2, geospatial intelligence products requiring human intervention are provided upon user request.
The system is developed using GeoNode (https://geonode.org/) as a Core component and integrates OpenEO services (https://openeo.org/) for the generation of innovative contents from open datasets like Copernicus Sentinels data, Copernicus Services data, AIS data and Social media.
Head of the organisational unit Geospatial Platforms at e-GEOS. He received the University Degree in Physics 2001 and has 20+ years of experience in Remote Sensing and GIS development including complex project management and team coordination. He is responsible for the development of API-based platforms for the processing and delivery of geospatial products. He worked in several international projects with technical role in the development of the earth observation service chains. He worked in the design of several internal platforms like: SEonSE (Smart Eye on Sea) for the monitoring of vessel and sea pollution; AWARE for the monitoring of assets (infrastructures, mining sites, networks, cultural heritage) using Earth Observation and sensors data; CLEOS for the scalable Cloud based processing of Earth Observation big-data; Witness for the analysis of Social Media for Disaster Rapid Mapping; Agrigeo for the monitoring of agriculture using Copernicus data.