Sadegh Ranjbar

Position title: PhD Student


Google Scholar
Google Scholar

Research Interests

Remote Sensing in Precision Agriculture; Remote Sensing Soil Moisture, Image Processing; Machine Learning; Physical Remote Sensing;


  • Amani, M.; Poncos, V.; Brisco, B.; Foroughnia, F.; DeLancey, E.R.; Ranjbar, S. Insar coherence analysis for wetlands in alberta, canada using time-series sentinel-1 data. Remote Sens. 2021, 13, 3315.
  • Ranjbar, S.; Akhoondzadeh, M.; Brisco, B.; Amani, M.; Hosseini, M. Soil moisture change monitoring from c and l-band sar interferometric phase observations. IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. 2021, 14, 7179–7197.
  • Zarei, A.; Shah-Hosseini, R.; Ranjbar, S.; Hasanlou, M. Validation of Non-Linear Split Window Algorithm for Land Surface Temperature Estimation Using Sentinel-3 Satellite Imagery: Case Study; Tehran Province, Iran. Sp. Res. 2021.
  • Ranjbar, S.; Zarei, A.; Hasanlou, M.; Akhoondzadeh, M.; Amini, J.; Amani, M. Machine learning inversion approach for soil parameters estimation over vegetated agricultural areas using a combination of water cloud model and calibrated integral equation model. Appl. Remote Sens. 2021, 15, 1–17, doi:10.1117/1.JRS.15.018503.