Day 4

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Paper title Translating Earth Observation Data into Smart EOMaps for User Enhanced Interpretation and Decision Making
Authors
  1. Stefanos Sykiotis Aristotle University of Thessaloniki (AUTh) Speaker
  2. Michaelis Foumelis BRGM, Bureau de Recherches Géologiques et Minières, Orléans, France Speaker
  3. Antonios Mouratidis Aristotle University of Thessaloniki (AUTh)
  4. Elena Papageorgiou Aristotle University of Thessaloniki (AUTh)
  5. José Manuel Delgado Blasco RHEA Group
  6. Giorgos Siavalas Aristotle University of Thessaloniki (AUTh)
Form of presentation Poster
Topics
  • D1. Managing Risks
    • D1.01 Satellite EO for Geohazard Risks
Abstract text The concept of smart mapping aims for the intelligent generation of informative maps enabling practitioners to understand and explore in a more efficient way the thematic information presented. Such concept has been already introduced in the geospatial analysis domain, yet not fully exploited in visualization schemes of Earth Observation (EO) findings. With the advent of platform-based EO solutions, such as the Geohazards Exploitation Platform (GEP), the access and processing of EO data has been downstreamed. The objective of such exploitation platforms is to contribute to the optimal use of EO data by simplifying the extraction of information. This allows focusing efforts on post analysis and interpretation of EO observations for improving our understanding of geohazard phenomena. Over the past years, it has been well demonstrated that hosted processing services are of major advantage when a rapid response to geohazards is addressed, involving strong earthquakes, volcanic eruptions, mass movements and river flooding. In fact, although the capabilities of EO platforms are being constantly upgraded, still advanced visualization options are rarely offered. In practice, the requirement for thematically tailored maps and visualization are often necessary to properly explore the EO findings. We introduce herein the idea of Smart EOMaps, a smart mapping functionality for platform-derived EO products based on data-driven intelligent styling and intuitive definition of map properties tailored to user requirements. The proper tuning of map properties in order to well demonstrate the thematic content in an illustrative way is a cumbersome procedure. This often relies on the experience and the background of each EO practitioner, while posing additional preparatory time before dissemination of the results. The intelligent visualization by the automated data analysis in a geospatial environment could better reveal the value of EO products and the discovery of potential “hidden” information to non-EO experts. Thus, the concept of Smart EOMaps aims to further contribute to promoting the exploitation and acceptance of EO services and products, as well as support decision making, especially when rapid response is required.