School of Forestry and Natural Environment
+30 2310992689
Building B, Ground Floor, Laboratory of Forest Management and Remote Sensing, Office B0.2, Facilities of the Shool of Forestry and Natural Environment in Foinika, Thessaloniki
jstavrak
Assistant Professor in the School of Forestry and Natural Environment at the Aristotle University of Thessaloniki (AUTH), the field of “Geographic Information Systems and Remote Sensing in Forest Ecosystems.” I received my BSc (with integrated Masters) and PhD degrees from the School of Electrical and Computer Engineering at AUTH. From 2014 to 2023, I worked as a postdoctoral researcher at the Laboratory of Forest Management and Remote Sensing at AUTH. Through my participation in many European and national research programs and projects, I have gained expertise—among other things—in the use of modern Remote Sensing and Geographic Information System (GIS) in research and applications related to wildfires management, mapping land cover / land use and detecting their changes, and postfire monitoring of natural ecosystems.
Aristotle University of Thessaloniki
School of Electrical and Computer Engineering
PhD in Electrical and Computer Engineering
Aristotle University of Thessaloniki
School of Electrical and Computer Engineering
Electrical and Computer Engineering (B.S. & M.S.)
School of Forestry and Natural Environment, Aristotle University of Thessaloniki
Assistant Professor
Description:
Institute of Plant Breeding and Genetic Resources — Hellenic Agricultural Organization "DEMETER"
Research fellow
Description:
Laboratory of Forest Management and Remote Sensing, Aristotle University of Thessaloniki
Postdoc researcher / Research fellow
Description:
Laboratory of Automation and Robotics, School of Electrical and Computer Engineering, AUTh
Young researcher
Description:
Participation in the implementation of national and European co-funded projects, during my PhD. Primary responsibilities:
A. Abdollahnejad, N. Georgopoulos, T. Katagis, D. Stavrakoudis, I.Z. Gitas
Journal Papers
A.W. Van Hout, A. Choopani, D. Stavrakoudis, W. De Witte, I. Gitas, K. Van Meerbeek, S. Ottoy
Journal Papers
K. Antoniadis, I.Z. Gitas, N. Georgopoulos, A. Grammenos, D. Stavrakoudis
Journal Papers
M. Sismanis, I.Z. Gitas, D. Stavrakoudis, N. Georgopoulos, K. Antoniadis, E. Gkounti
Journal Papers
A. Stefanidou, D. Stavrakoudis, I.Z. Gitas
Journal Papers
Forest Aerial Photography – Remote Sensing (Undergraduate)
Geographic Information Systems – Geospatial Analysis (Undergraduate)
Remote sensing of environment – Applications (Undergraduate)
Remote Sensing & Geographic Information Systems (Postgraduate)
Sat4Φorest — Greek National Satellite Space Project: Axis 3 – Forest Monitoring Service
Development of an operational service for mapping and monitoring forests using microsatellites
Platform that provides real-time, high-resolution Earth Observation (EO) services.
Development of innovative technologies for the prevention and management of the effects of wildfires
A holistic approach to establish a new wildfire management strategy
Forecasting extreme natural phenomena in areas of tourist and cultural interest
Creation of an online platform for monitoring the health of commercial forests
Erasmus+ program, for the cooperation of universities and businesses in the EU, Russia, and China
Development of an advanced algorithm and open-source software for the automated mapping of burned areas using high-resolution data
Research team scholarship in the framework of the Programme “EDULLL 34”
ERMES: An Earth Observation Model based Rice Information System
Development of a service for rice cultivation using remote sensing data and mathematical modelling
Establishment and Pilot Operation of the National Observatory of Forest Fires (NOFFi)
Development of products and services for forest fire prevention using remote sensing data
Tele-Kyoto: Vegetation mapping and biomass estimation using modern remote sensing methods under the United Nations Convention on Climate Change and the Kyoto Protocol
Estimation of above-ground biomass in Greek forests using remote sensing data