Inhaltspezifische Aktionen

Odysseas Vlachopoulos

Contact
                     

+30 6949462016

+49 641 99 12709

odysseas.vlachopoulos@zeu.uni-giessen.de

no website available
                                                                

Education
2022 Post Doc at ZEU              
2021  Ph.D., Forestry and Environmental Management, University of New Brunswick (UNB)

Dissertation Title: “Crop Field Monitoring And Damage Assessment With Unmanned Aircraft Systems
And Machine Learning”

              
2018 MSc (2y) - Space Science, Technologies and Applications, University of Peloponnese (UoP).

Thesis Title: “Synergy of Earth Observations with other smart, monitoring platforms (e.g.
UAVs) for precision farming: The case of vineyards in Greece”.

              
2014                      Dipl.–Ing, BSc & MSc (5y) - Electronics and Computer Engineering, Technical University of Crete (TUC).
Thesis Title: “Infrastructure development of microcontroller communication system for

data storage in database”

              

 

Further Information
Affiliation Member of ZEU | Post Doc 
Supervision Dr. Elena Xoplaki
Focus Area Climate & Environmental Change
Fields of Interest

Computer Engineering, Remote Sensing and earth observation, Precision agriculture and food security, 
Machine Learning algorithms, Data processing pipelines
Project Involvement

CLImate INTelligence: Extreme Events Detection, Attribution and Adaptation Design using Machine Learning (CLINT)
Publications
  • O. Vlachopoulos* et al., “Evaluation of crop health status with UAS multispectral imagery” in IEEE Journal of Selected Topics in
    Applied Earth Observations and Remote Sensing, vol. 15, pp. 297-308, 2022, doi: 10.1109/JSTARS.2021.3132228.
  • O. Vlachopoulos* et al., “Delineation of Bare Soil Field Areas from Unmanned Aircraft System Imagery with the Mean
  • Shift Unsupervised Clustering and the Random Forest Supervised Classification” Canadian Journal of Remote Sensing, vol. 46, no. 4, pp. 489–500, Jul. 2020, doi: 10.1080/07038992.2020.1763789.
  • O. Vlachopoulos* et al., “Delineation of Crop Field Areas and Boundaries from UAS Imagery Using PBIA and GEOBIA with Random Forest Classification” Remote Sensing, vol. 12, no. 16, Art. no. 16, Jan. 2020, doi: 10.3390/rs12162640.
  • O. Vlachopoulos* et al., “Mapping Barley Lodging With UAS Multispectral Imagery And Machine Learning” in The
  • International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Jun. 2021, vol. XLIII-B1-2021, pp. 203–208. doi: 10.5194/isprs-archives-XLIII-B1-2021-203-2021.