Fani Samara

University of Thessaly

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Co-Authors

Olga Christopoulou

University of Thessaly

Stavros Sakellariou

University of Thessaly

Stergios Tampekis

Agricultural University of Athens

Athanassios Sfougaris

University of Thessaly

Athanasios Sfougaris

University of Thessaly

Dirk Jaeger

University of Göttingen

Anastasia Stergiadou

Aristotle University of Thessaloniki

Aristotelis Kosmas Doukas

Vasileios Giannoulas

Aristotle University of Thessaloniki

ΚΣ

Κωνσταντίνος Σούτσας

Democritus University of Thrace

Cooperative Institutions

University of Thessaly

Aristotle University of Thessaloniki

Democritus University of Thrace

Agricultural University of Athens

Natural Resources Canada

Canadian Forest Service

University of Alberta

Alberta Environment and Protected Areas

Niki (Greece)

Research Institute of Geodesy, Topography and Cartography

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Inter-annual monitoring of land use land cover changes with emphasis on forest reserves under a spatial planning perspective

International Journal of Sustainable Agricultural Management and Informatics (2021)

Fani Samara N. R. Dalezios Olga Christopoulou Athanassios Sfougaris Stavros Sakellariou

Monitoring the inter-annual land cover evolution is considered of crucial importance at global level, since it may reveal significant changes across the Earth surface. Primary aim of the paper is to explore the spatiotemporal changes occurred in a highly touristic region which hosts a diversity of high-value natural resources (forests, coastal landscapes, croplands). To this end, a supervised land use image classification has been conducted for two years (2000, 2019) adopting the support vector machine algorithm. The outcomes of the classification have been verified by the overall accuracy (OA) index and kappa coefficient (KC). Both indices indicated high accuracy (over 80% and 0.8 respectively) of correct classification. Next, a matrix and a map of changes were developed to provide a quantitative and qualitative perspective of land use changes. The primary changes occurred were related to the transformation of forest to cropland and vice versa, followed by a mild urban expansion (especially for touristic premises).

Land Cover

Cohen's kappa

10.1504/ijsami.2021.10039533

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The forest road density evolution at the island of Skiathos, Greece

Stergios Tampekis Olga Christopoulou Vasileios C. Drosos Kosmas Doukas Vasileios Giannoulas

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Analyzing Methods of Using Sustainable Development Indicators

Journal of Civil Engineering and Architecture (2013)

Fani Samara Olga Christopoulou Athanasios Sfougaris

Sustainable development indicators, aim to measure sustainable development over longer periods of time.The sustainable development indicators are grouped into 10 subject categories: socioeconomic development, sustainable consumption and production, social inclusion, demographic changes, public health, climate change and energy, sustainable transport, natural resources, global partnership and finally good governance.In this paper, the authors examined a number of researches and compared the methods they used in order to determine the advantages and disadvantages of each method.The methods used a large number of different indicators.The comparison of the indicators could be made through mathematical models and also through theoretical approach.

10.17265/1934-7359/2013.11.012

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Energy Autonomy in Small Islands in the Frame of Their Sustainable Development Exploring Biomass Energy Potential in Samothrace (Greece)

International Journal of Literature and Arts (2016)

Olga Christopoulou M. Fountoukidou St. Sakellariou St. Tampekis Fani Samara

One of the major problems faced by small islands in the Aegean Sea, is meeting their energy needs and the increased costs these needs generate because of their distance from the mainland and the increasing price of oil. To the above, the dramatic reduction of fossil fuels and climate change should be added, which obligate Member States of the European Union to comply with Directive 2009/28 / EC, which aims at a contribution of RES of 20% (Greece 18%) in the total EU energy consumption. It is therefore desirable to explore the energy autonomy capabilities offered in each case. This paper explores the possibility of utilizing biomass and in addition the use of livestock and poultry waste for biogas production.

Biogas

Consumption

10.11648/j.ijrse.2015060401.12

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Spatial planning of fire-agency stations as a function of wildfire likelihood in Thasos, Greece

The Science of The Total Environment (2020)

Stavros Sakellariou Marc‐André Parisien Mike Flannigan Xianli Wang Bill de Groot

Relocation

rationalization

10.1016/j.scitotenv.2020.139004

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Review of state-of-the-art decision support systems (DSSs) for prevention and suppression of forest fires

Journal of Forestry Research (2017)

Stavros Sakellariou Stergios Tampekis Fani Samara Athanassios Sfougaris Olga Christopoulou

Forest ecosystems are our priceless natural resource and are a key component of the global carbon budget. Forest fires can be a hazard to the viability and sustainable management of forests with consequences for natural and cultural environments, economies, and the life quality of local and regional populations. Thus, the selection of strategies to manage forest fires, while considering both functional and economic efficiency, is of primary importance. The use of decision support systems (DSSs) by managers of forest fires has rapidly increased. This has strengthened capacity to prevent and suppress forest fires while protecting human lives and property. DSSs are a tool that can benefit incident management and decision making and policy, especially for emergencies such as natural disasters. In this study we reviewed state-of-the-art DSSs that use: database management systems and mathematical/economic algorithms for spatial optimization of firefighting forces; forest fire simulators and satellite technology for immediate detection and prediction of evolution of forest fires; GIS platforms that incorporate several tools to manipulate, process and analyze geographic data and develop strategic and operational plans.

Ecosystem Management

10.1007/s11676-017-0452-1

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An eco-efficient and economical optimum evaluation technique for the forest road networks: the case of the mountainous forest of Metsovo, Greece

Environmental Monitoring and Assessment (2018)

Stergios Tampekis Fani Samara Stavros Sakellariou Athanassios Sfougaris Olga Christopoulou

Forest road

Forest Inventory

Investment

Present value

10.1007/s10661-018-6526-5

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Citations (22)

The use and significance of modern Decision Support Systems (DSS) in the service of humanity against forest fires

RePEc: Research Papers in Economics (2015)

Stavros Sakellariou Stergios Tampekis Fani Samara Olga Christopoulou

Forest fires constitute one of the greatest hazards for the viability and sustainable development of forests with consequences both on natural and cultural environment, undermining the economy and the quality of life of local and regional populations. Thus, the best strategic to grapple with forest fires while taking under consideration both functional and economic efficiency is considered of primary importance. To this effect, great share have the usage and adoption of decision support systems (DSS) which contain tools of G.I.S. and satellite technology and function as information systems which support the managers responsible for eliminating the forest fires. Definitely, the sub-systems of the most DSS can be used independently depending on the main purpose, such as for prevention or suppression procedures; for the financial estimation of the planned mission; for the smoke detection and the prediction of its repercussions on the human health etc. Hence, the paper aims to a comparative assessment of the most contemporary DSS which are in use in different geographic scales -such as national and federal level- as well as to a thorough exploration of the effectiveness and contribution of such systems to the confronting of forest fires.

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The forest roads? spatial planning contribution to the sustainable development of small islands. The case study of Thassos island, Greece

RePEc: Research Papers in Economics (2015)

Stergios Tampekis Fani Samara Stavros Sakellariou Olga Christopoulou

Small islands due to their small size face environmental risks, because of the pressures arising from the projects and actions aiming at economic development. Forests constitute vulnerable ecosystems that change at great speed. In most of the occasions the change is downgrading. The right management of the natural resources is the unique solution for the achievement of sustainable development. However, sustainable management of forests must be achieved with the respect and protection of nature and landscape. Sustainable management of forest resources can only be achieved through a well-organized road network, designed with the optimal spatial variability and the minimum environmental impacts. In this paper, we focus on the intensity criteria evaluation and more specifically on the forest road density, the road spacing and the forest opening-up percentage evaluation. From the road density and the forest protection percentage evaluation, we can deduce that in the study area there have been opened a lot of forest roads. Nevertheless, with the integration of the intensity and the absorption multi-criteria evaluation we can deduce whether the existing forest roads in the study area have been designed with the optimal spatial planning. Consequently, with the application of the optimal spatial planning technique we will ensure the best protection and at the same time the sustainable exploitation of the forest resources. Additionally, it will be valued if there are any impacts to the natural environment and if some of the forest roads had been constructed legally or not according to the guidelines.

Forest road

Spatial Planning

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The use and significance of modern Decision Support Systems (DSS) in the service of humanity against forest fires

Proceedings of International Academic Conferences (2015)

Stavros Sakellariou Stergios Tampekis Fani Samara Olga Christopoulou

Fire Detection

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