Dr. Onur Yüzügüllü

Dr. Onur Yüzügüllü
Interest Areas
Remote Sensing
Agricultural Monitoring
Precision Agriculture
Numerical Analysis
Machine Learning
Curriculum Vitae  
E-mail: onur {at} agricircle.com
Links: https://www.researchgate.net/profile/Onur-Yuzugullu
 

Education

  • Ph.D., ETH Zurich, Zurich, Switzerland (2017); Institute of Environmental Engineering (IfU)
  • M.S., Middle East Technical University, Ankara, Turkey (2011); Environmental Engineering
  • B.S., Middle East Technical University, Ankara, Turkey (2008); Environmental Engineering

Professional Experience

  • 2021 – Present       Lecturer, Department of Environmental Engineering, METU, Ankara - Turkey
  • 2020 – Present       Chief Research Officer, AgriCircle AG, Rapperswil, Switzerland
  • 2019 – 2021        Industrial PostDoc, Group of Crop Science at Institute of Agricultural Sciences ETH Zurich, Switzerland
  • 2018 – 2020        Lead Data Scientist, AgriCircle AG, Rapperswil, Switzerland
  • 2017 – 2018        Data Scientist, AgriCircle AG, Rapperswil, Switzerland

Publications



Peer-reviewed Journal Articles

  • Yuzugullu, O., Lorenz, F., Fröhlich, P., & Liebisch, F. (2020). Understanding fields by remote sensing: Soil zoning and property mapping. Remote Sensing, 12(7).
  • Yuzugullu, O., Erten, E., & Hajnsek, I. (2018). Assessment of paddy rice height: Sequential inversion of coherent and incoherent models. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 11(9).
  • Yuzugullu, O., Erten, E., & Hajnsek, I. (2017). A multi-year study on rice morphological parameter estimation with X-band PolSAR data. Applied Sciences, 7(6), 602.
  • Yuzugullu, O., Erten, E., & Hajnsek, I. (2017). Estimation of rice crop height from X- and C-band PolSAR by metamodel-based optimization. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10(1).
  • Yuzugullu, O., Marelli, S., Erten, E., Sudret, B., & Hajnsek, I. (2017). Determining rice growth stage with Xband SAR: A metamodel based inversion. Remote Sensing, 9(5), 460.
  • Erten, E., Lopez-Sanchez, J. M., Yuzugullu, O., & Hajnsek, I. (2016). Retrieval of agricultural crop height from space: A comparison of SAR techniques. Remote Sensing of Environment, 187.
  • Yuzugullu, O., Erten, E., & Hajnsek, I. (2015). Rice growth monitoring by means of X-band co-polar SAR: Feature clustering and BBCH scale. IEEE Geoscience and Remote Sensing Letters, 12(6).
  • Erten, E., Rossi, C., & Yüzügüllü, O. (2015). Polarization impact in TanDEM-X data over vertical-oriented vegetation: The paddy-rice case study. IEEE Geoscience and Remote Sensing Letters, 12(7).
  • Yuzugullu, O., & Aksoy, A. (2013). Generation of the bathymetry of a eutrophic shallow lake using WorldView-2 imagery. Journal of Hydroinformatics, 16(1).
  • Yüzügüllü, O., & Aksoy, A. (2011). Determination of Secchi disc depths in Lake Eymir using remotely sensed data. Procedia - Social and Behavioral Sciences, 19

 Conference Proceedings

  • Celik, M. F., Yuzugullu, O., & Erten, E. (2018). Regression based polynomial chaos expansion for crop phenology estimation coupled with polsar imagery. IEEE International Geoscience and Remote Sensing Symposium (IGARSS).
  • Yuzugullu, O., Erten, E., Sahin, M., & Hajnsek, I. (2018). Determination of rice plant morphology by stochastic optimization using X-band polsar data. 26th Signal Processing and Communications Applications Conference (SIU), İzmir, Turkey.
  • Yuzugullu, O., & Liebisch, F. (2018). Observing crop growth and vitality with the Copernicus mission. IEEE International Geoscience and Remote Sensing Symposium (IGARSS).
  • Erten, E., Yuzugullu, O., Lopez-Sanchez, J., & Hajnsek, I. (2016). SAR algorithms for crop height estimation: The paddy-rice case study. IEEE International Geoscience and Remote Sensing Symposium (IGARSS).
  • Yuzugullu, O., Erten, E., & Hajnsek, I. (2016). Crop height estimation of rice fields by X- and C-band PolSAR. EUSAR 2016: 11th European Conference on Synthetic Aperture Radar.
  • Yuzugullu, O., Erten, E., & Hajnsek, I. (2016). Morphology estimation of rice fields using X-band PolSAR data. IEEE International Geoscience and Remote Sensing Symposium (IGARSS).
  • Yuzugullu, O., Erten, E., & Hajnsek, I. (2016). Using metamodels for agricultural monitoring.
  • Erten, E., Rossi, C., & Yuzugullu, O. (2015). Comparison of the TanDEM-X response between vertical and horizontal oriented vegetation. IEEE International Geoscience and Remote Sensing Symposium (IGARSS).
  • Yuzugullu, O., Erten, E., & Hajnsek, I. (2015). Scattering function optimization for growth stage determination of rice fields: Preliminary results. ESA POLinSAR Workshop.
  • Yuzugullu, O., Erten, E., & Hajnsek, I. (2015). Use of forward-scattering algorithm for growth stage determination of rice fields. ESA POLinSAR Workshop.
  • Yuzugullu, O., Marelli, S., Erten, E., Sudret, B., & Hajnsek, I. (2015). Global sensitivity analysis of a morphology based electromagnetic scattering model. IEEE International Geoscience and Remote Sensing Symposium (IGARSS).
  • Erten, E., Rossi, C., Yüzügüllü, O., & Hajnsek, I. (2014). Phenological growth stages of paddy rice according to the BBCH scale and SAR images. IEEE International Geoscience and Remote Sensing Symposium (IGARSS).
  • Erten, E., & Yuzugullu, O. (2014). Observation of phenological changes by using dual polarization SAR data. 22nd Signal Processing and Communications Applications Conference (SIU).
  • Yuzugullu, O., Erten, E., & Hajnsek, I. (2014). Çeltik tarlalarında gelişim evresinin belirlenmesi: İlk sonuçlar. UZAL-CBS. 

Posters

  • Yuzugullu, O., Erten, E., & Hajnsek, I. (2016). Global sensitivity analysis on PolSAR parameters—Effective parameter selection for BBCH-scale based rice crop monitoring [Poster]. ESA Living Planet, Prague, Czechia.
  • Yuzugullu, O., Erten, E., & Hajnsek, I. (2015). Growth stage determination of rice fields: Simulated searchspace approach [Poster]. ESA POLinSAR Workshop, Frascati, Rome, Italy.
  • Yuzugullu, O., Marelli, S., Erten, E., Sudret, B., & Hajnsek, I. (2015). A probabilistic inversion approach for rice growth monitoring [Poster]. HGF Earth Dynamics Alliance, Garmisch, Germany.
  • Yuzugullu, O. (2014). Phenological stage determination of rice fields: Simulated search-space approach [Poster]. 12th Swiss Geoscience Meeting, Bern, Switzerland.
  • Yuzugullu, O., Erten, E., & Hajnsek, I. (2013). Comparison of Wishart and Euclidean distance using fuzzy algorithm for agricultural classification [Poster]. ESA POLinSAR Workshop, Frascati, Rome, Italy.

Supervised Theses

  • Kölliker, J. (2018). Hyperspektrale Drohnendaten für Krankheitserkennung [Masters Thesis].
  • Fachhochschule Nordwestschweiz. Rigo, E. (2016). Explaining the changes in the polarimetric descriptors based on the changes in the rice crop morphology [Bachelor Thesis]. ETH Zurich.