I graduated in Bachelor of Science in 2011 in the field of Surveying and Geomatics from Tabriz University, Tabriz, Iran. Then I did my Master of Science in the field of Remote Sensing at Tehran University, Tehran, Iran and I graduated in 2014. My master thesis was about monitoring surface soil moisture using active microwave data.
I am a Ph.D. researcher at Water Recourse Management group at Faculty of Civil Engineering and Geosciences. I am doing my Ph.D. under the supervision of Professor Susan Steele-Dunne and I am working on monitoring early water stress using active microwave data. During my Ph.D., I am focusing on using active microwave data and radiative transfer modelling techniques to better understand the diurnal and seasonal water dynamic inside the vegetation and soil.
Teaching assistance for the course CIE5401 GIS & Remote Sensing for water resources
- S.C.Steele-Dunne, S. Khabbazan, P. C. Vermunt, L. Ratering Arntz,C. Marinetti, L. Iannini, K. Westerdijk, C. van der Sande: “MONITORING KEY AGRICULTURAL CROPS IN THE NETHERLANDS USING SENTINEL-1”; IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium
- S. Khabazan, M. Hosseini, M.R. Seradjian, M. Motagh, R. Magagi: “Accuracy assessment of IWCM soil moisture estimation model in different frequency and polarization bands”; Journal of the Indian Society of Remote Sensing, 2015.
- S. Khabazan, M. Motagh, M. Hosseini: “Evaluation of Radar Backscattering Models IEM, OH, and Dubois using L and C-Bands SAR Data over different vegetation canopy covers and soil depths”; Proceedings of International Conference on SMPR 2013. International Conference on Sensors and Models in Photogrammetry and Remote Sensing, 5-8 Oct. 2013, Tehran, Iran
- S. Khabazan, M. Motagh: “Evaluation of various radar backscattering models using C and L-bands SAR data for soil moisture estimation”; European Space Agency (ESA) Living planet symposium, 9-11 Sep. 2013, Edinburg, UK
Using Radar for Vegetation Water Stress
In this project I am working on quantifying the contributions to radar backscatter from an agricultural canopy and using radiative transfer models to identify the onset of water stress.