Ms. Eleni Dragozi Profile

Eleni Dragozi

at Aristotle University

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Publications (4)

Proceedings Article | 27 June 2019 Paper

Forest diversity estimation using Sentinel-2 and RapidEye imagery: a case study of the Northern Pindos National Park

Irene Chrysafis, Giorgos Mallinis, Georgios Korakis, Eleni Dragozi

Proceedings Volume 11174, 1117407 (2019) https://doi.org/10.1117/12.2533661

KEYWORDS: Vegetation, Ecosystems, Sensors, Remote sensing, Spatial resolution, Satellites, Data modeling, Biological research, Earth observing sensors, Multispectral imaging

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Proceedings Article | 6 September 2017 Paper

Mid-term fire danger index based on satellite imagery and ancillary geographic data

A. Stefanidou, E. Dragozi, M. Tompoulidou, L. Stepanidou, D. Grigoriadis, T. Katagis, D. Stavrakoudis, I. Gitas

Proceedings Volume 10444, 104440P (2017) https://doi.org/10.1117/12.2278214

KEYWORDS: Satellite imaging, Satellites, Earth observing sensors, Remote sensing, MODIS, Observatories, Time series analysis

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Proceedings Article | 12 August 2016 Paper

The Greek National Observatory of Forest Fires (NOFFi)

Maria Tompoulidou, Alexandra Stefanidou, Dionysios Grigoriadis, Eleni Dragozi, Dimitris Stavrakoudis, Ioannis Gitas

Proceedings Volume 9688, 96880N (2016) https://doi.org/10.1117/12.2240560

KEYWORDS: Observatories, Remote sensing, Landsat, Geographic information systems, Image segmentation, Fuzzy logic, Image processing, Associative arrays, Earth observing sensors, Satellites

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Efficient forest fire management is a key element for alleviating the catastrophic impacts of wildfires. Overall, the effective response to fire events necessitates adequate planning and preparedness before the start of the fire season, as well as quantifying the environmental impacts in case of wildfires. Moreover, the estimation of fire danger provides crucial information required for the optimal allocation and distribution of the available resources. The Greek National Observatory of Forest Fires (NOFFi)—established by the Greek Forestry Service in collaboration with the Laboratory of Forest Management and Remote Sensing of the Aristotle University of Thessaloniki and the International Balkan Center—aims to develop a series of modern products and services for supporting the efficient forest fire prevention management in Greece and the Balkan region, as well as to stimulate the development of transnational fire prevention and impacts mitigation policies. More specifically, NOFFi provides three main fire-related products and services: a) a remote sensing-based fuel type mapping methodology, b) a semi-automatic burned area mapping service, and c) a dynamically updatable fire danger index providing mid- to long-term predictions. The fuel type mapping methodology was developed and applied across the country, following an object-oriented approach and using Landsat 8 OLI satellite imagery. The results showcase the effectiveness of the generated methodology in obtaining highly accurate fuel type maps on a national level. The burned area mapping methodology was developed as a semi-automatic object-based classification process, carefully crafted to minimize user interaction and, hence, be easily applicable on a near real-time operational level as well as for mapping historical events. NOFFi’s products can be visualized through the interactive Fire Forest portal, which allows the involvement and awareness of the relevant stakeholders via the Public Participation GIS (PPGIS) tool.

Proceedings Article | 19 June 2015 Paper

Burn severity estimation using GeoEye imagery, object-based image analysis (OBIA), and Composite Burn Index (CBI) measurements

E. Dragozi, Ioannis Gitas, Dimitris Stavrakoudis, C. Minakou

Proceedings Volume 9535, 953515 (2015) https://doi.org/10.1117/12.2193149

KEYWORDS: Vegetation, Image analysis, Satellites, Composites, Image classification, Ecosystems, Satellite imaging, Data modeling, Remote sensing, Earth observing sensors

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