Thomas Alexandridis is an agronomist with a specialization in Applied Remote Sensing that started with a Masters Degree in Cranfield University (United Kingdom) in 1996 and continued with a PhD from the School of Agriculture (AUTH) in 2003, in collaboration with the International Water Management Institute (Pakistan and Sri Lanka). His research interests include agricultural and environmental resources monitoring and modelling using Earth observation, and spatial analysis of geographic data in GIS. He has extensive experience in mapping vegetation, soil and water parameters at wide scales using low resolution satellite images in several European and African countries, as well as local scales with very high resolution satellite images, unmanned aerial vehicles (UAVs) and in-situ measurements for precision farming application. He has authored and co-authored more than 150 journal and conference papers, and has participated in more than 40 research projects funded by the EU, European Space Agency, and national sources, in several of them as Principal Investigator.
School of Agriculture
Lab of Remote Sensing, Spectroscopy and GIS Eastern Stone Building, University Farm, AUTH https://maps.app.goo.gl/pTg22SdEGDNxTitL6
2310991777
Aristotle University of Thessaloniki
School of Agriculture
BSc in Agriculture
Universita di Bologna (IT)
Facolta di Agraria
Erasmus student exchange
Cranfield University
Rural Land Use
MSc in Applied Remote Sensing
Aristotle University of Thessaloniki
School of Agriculture
PhD in Geoinformation
Thomas Alexandridis is an agronomist with a specialization in Applied Remote Sensing that started with a Masters Degree in Cranfield University (United Kingdom) in 1996 and continued with a PhD from the School of Agriculture (AUTH) in 2003, in collaboration with the International Water Management Institute (Pakistan and Sri Lanka). His research interests include agricultural and environmental resources monitoring and modelling using Earth observation, and spatial analysis of geographic data in GIS. He has extensive experience in mapping vegetation, soil and water parameters at wide scales using low resolution satellite images in several European and African countries, as well as local scales with very high resolution satellite images, unmanned aerial vehicles (UAVs) and in-situ measurements for precision farming application. He has authored and co-authored more than 150 journal and conference papers, and has participated in more than 40 research projects funded by the EU, European Space Agency, and national sources, in several of them as Principal Investigator.
TRIAS SA Consulting
Scientific collaborator
International Water Management Institute (Lahore, PK)
International consultant
International Water Management Institute (Colombo, SL)
International Consultant
Lab of Remote Sensing, Spectroscopy and GIS, School of Agriculture, AUTH
Postdoctoral researcher
Lab of Remote Sensing, Spectroscopy and GIS, School of Agriculture, AUTH
Faculty member
Precision Farming - Saving Resources (Undergraduate)
Remote Sensing and Geographical Information Systems (Undergraduate)
Soil Mapping and Land Evaluation (Undergraduate)
Precision Farming and Saving Resources (Postgraduate)
Biosystems Management and Earth Observation Systems (Postgraduate)
Bioinformatic applications for high-throughput phenomics and genomics data analysis
An Interreg Euro-MED project that aims to advance sustainable soil management through carbon farming
Prominence of wine identity of the prefecture of Drama through holistic characterization of the natural and microbial environment
Characterization of the role of abiotic and microbial terroir through spatial data mining
Climate Smart Agriculture to foster sustainable agricultural development at the landscape level
Sustainable and holistic soil management practices based on a harmonized land information system
Ιntegrated agricultural monitoring and early warning system for food security in Africa
Monitoring of surface waters with remote sensing for the rational use of insecticides in wide area mosquito control
Mapping of potential mosquitoes breeding sites for decision support larviciding mosquito control
Integration of Earth Observation and models for improved estimation of water quality and quantity