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Gürsoy, M. İ., Orhan, O., & Tekin, S. (2023). Creation of Wildfire Susceptibility Maps in the Mediterranean Region (Turkey) Using Convolutional Neural Networks and Multilayer Perceptron Techniques. Forest Ecology and Management, 538, Article ID: 121006.
https://doi.org/10.1016/j.foreco.2023.121006

has been cited by the following article:

• TITLE: Multi-Criteria Wildfire Risk Hazard Assessment in GIS Environment: Projection for the Future and Impact on RES Projects Installation Planning

  AUTHORS: Aggelos Pallikarakis, Flora Konstantopoulou

  KEYWORDS: RES Projects, Greece, Epirus, Analytic Hierarchy Process, Multi-Criteria Decision Analysis

  JOURNAL NAME: Journal of Geoscience and Environment Protection, Vol.12 No.5, May 30, 2024

  ABSTRACT: It is alarming for the fact that Wildfires number, severity and consequently impact have significantly increased during the last years, an aftermath of the Climate Change. One of the most affected areas worldwide is Mediterranean, due to the unique combination of its type of vegetation and demanding climatic conditions. This research is focused on the Region of Epirus in Greece, an area with significant natural vegetation and a range of geomorphological aspects. In order to estimate the Wildfire Risk Hazard, several factors have been used: geomorphological (slope, aspect, elevation, TWI, Hydrographic network), social (Settlements and landfils, roads, overhead lines and substations), environmental (land cover) and climatic (Fire Weather Index). Through a multi-criteria decision analysis (MCDA) and an analytic hierarchy process (AHP) in a GIS environment, the Wildfire Risk Hazard has been estimated not only for current conditions but also for future projections for the near future (2031-2060) and the far future (2071-2100). The selected case study includes the potential impact of the Wildfires to the installed (or targeted to be installed) RES projects in the studied region.