Research topics

My main field of research is the microwave remote sensing of land surface parameters (soil, vegetation and snow). The environments studied are very diverse, ranging from semi-arid environments to boreal forest areas and snow-covered regions. I also work on the extraction of physical parameters and the characterization of these environments.  


Current projects

Validation of passive microwave data from the SMOS space mission
Estimation of soil moisture by airborne and satellite passive microwaves
Modelling of terrestrial physical parameters  


  • Khabazan S., Hosseini M., Saradjian M., Motagh M., Magagi R. (2015) Accuracy assessment of IWCM soil moisture estimation model in different frequency and polarization bands, Journal of the Indian Society of Remote Sensing, 43(4), 859-865.
  • Proulx J.-S., Magagi R., O’Neill N. (2015) Filtering GLA14 data for elevation accuracy determination. Photogrammetric Engineering and Remote Sensing, 81(9) : 701–707.
  • McNairn H et al. (2015) The Soil Moisture Active Passive Validation Experiment 2012 (SMAPVEX12): Pre-Launch Calibrationand Validation of the SMAP Soil Moisture Algorithms. IEEE Transactions on Geoscience and Remote Sensing, 53(5) : 2784-2801.
  • Djamai N., Magagi R., Goïta K., Hosseini M., Cosh M., Berg A., Toth B. (2015) Evaluation of SMOS soil moisture products over the CanEx-SM10 area. Journal of Hydrology, 520 : 254–267.
  • Djamai, N., Magagi, R., Goïta, K., Merlin, O., Kerr, Y., Walker, A. (2015) Disaggregation of SMOS soil moisture over the Canadian Prairies, Remote Sensing of Environment, 170 : 255-268.
  • Rowlandson T., Impera S., Belanger J., Berg A, Toth B., Magagi R. (2015) Use of In Situ Soil Moisture Network for Estimating Regional Scale Soil Moisture during High Soil Moisture Conditions. Canadian Water Ressources Journal, 40(4) : 343-351.
  • Magagi, R., Berg, A.A., Goita, K., Belair, S., Jackson, T.J., Toth, B., Walker, A., McNairn, H., ONeill, P.E., Moghaddam, M., Gherboudj, I., Colliander, A., Cosh, M.H., Burgin, M., Fisher, J.B., Kim, S.-B., Mladenova, I., Djamai, N., Rousseau, L.-P.B., Belanger, J., Shang, J., Merzouki, A. (2013) Canadian experiment for soil moisture in 2010 (CanEx-SM10): Overview and preliminary results, IEEE Transactions on Geoscience and Remote Sensing, 51 (1) , art. no. 6226845 , pp. 347-363.
  • Chaouch, N., Leconte, R., Magagi, R., Temimi, M., Khanbilvardi, R. (2013) Multi-stage inversion method to retrieve soil moisture from passive microwave measurements over the Mackenzie River Basin, Vadose Zone Journal, 12 (3).
  • Gherboudj, I., Magagi, R., Goïta, K., Berg, A.A., Toth, B., Walker, A. (2012) Validation of SMOS data over agricultural and boreal forest areas in Canada. IEEE Transactions on Geoscience and Remote Sensing, 50 (5 PART 1), art. no. 6178008, pp. 1623-1635.
  • Gherboudj I., Magagi R., Berg A. A., and Toth B. (2011) Soil moisture retrieval over agricultural fields from multi-polarized and multi-angular RADARSAT-2 SAR data. Remote Sensing of Environment, Vol. 115, Issue 1, pp. 33-43.
  • Corgne S, Magagi R., Yergeau M., and Sylla D. (2010) An integrated approach to hydro-geological lineament mapping of a semi-arid region of West Africa using Radarsat-1 and GIS. Remote Sensing of Environment, Vol. 114, No. 9, pp. 1863-1875, doi:10.1016/j.rse.2010.03.004.
  • Eleuch, S., A. Carsteanu, K. Bâ, R. Magagi, K. Goïta, and K. Diaz (2010) Validation and use of rainfall radar data to simulate water flows in the Rio Escondido basin. Stochastic Environmental Research and Risk Assessment, Volume 24, Number 5, pp. 559-565, DOI: 10.1007/s00477-009-0336-9.
  • Trudel M., Magagi R., and Granberg H. (2009). Application of Target Decomposition theorems over Snow-Covered-Forested areas. IEEE Trans. Geosc. and Rem. Sens, vol. 47, no 2, p.508-512.
  • Magagi R. et Kerr Y. H. (2007). Suivi temporel de la rugosité du sol d’une zone sahélienne à partir des données du diffusiomètre vent à bord d’ERS-1. Télédétection, vol. 7, no. 4, 525-540.
  • Ziad, A., Bonn F, and Magagi R., (2007). « Analysis of the Backscattering Coefficient of Salt-Affected Soils Using Modeling and RADARSAT-1 SAR Data ». IEEE Transaction Geoscience and Remote Sensing, vol. 45, no 2, p.332-341.
  • Trudel M., Magagi R., and Granberg H. (2006). Discrimination d’un couvert de neige sèche et de neige humide sur des sites de faible végétation et de forêt dense de conifères à l’aide de données radar aéroportées multifréquences et multipolarisation. Télédétection, vol. 6, no 1, p. 31-43.
  • Magagi R., and Barros A. P., 2004, Estimation of Latent Heating of Rainfall During the Onset of the Indian Monsoon using TRMM-PR and Radiosonde Data. Journal of Applied Meteorology, Vol. 43, no. 2, pp. 328-349.