dr. ir. Brecht Martens

Brecht Martens is specialized in remote sensing of hydrological variables, hydrological modelling, soil moisture, data assimilation, downscaling, extremes and terrestrial evaporation.

Brecht MartensBio

I received the Master of Science degree of Engineer in Applied Biological Sciences from Ghent University in 2012. Currently, I am working as a doctoral research assistant at the Laboratory of Hydrology and Water Management – Ghent University. My Master Thesis Dissertation focussed on merging weather radar rainfall products and in situ observations in near-real time for operational purposes. I started my doctoral research with the optimisation of soil moisture retrievals from SMOS (Soil Moisture and Ocean Salinity) data at the Research team: Hydrology and Climate. More specifically, we have tried to improve the roughness parameterisation in the retrieval algorithms. This study was conducted in the frame of the FLOODMOIST project, funded by BELSPO (BELgian Science POlicy). Currently, my research focusses on improving global estimates of terrestrial evaporation and root-zone soil moisture from the Global Land Evaporation Amsterdam Model (GLEAM, www.GLEAM.eu). This research frames in the ESA-funded projects SMOS+ET1 and SMOS+ET2. Next to my research activities, I was responsible for the practical exercises of Hydrological Modelling, Ground Water Flow, Irrigation and Drainage (partim Drainage) and Meteorology and Hydrology (partim Hydrology), taught at Ghent University – Faculty of Bioscience Engineering.  


Address: Coupure links 653 - Room A2.007

               9000 Ghent, Belgium

Phone: +32 9 264 61 37



  • 2014 – Present: Doctoral research assistant – Laboratory of Hydrology and Water Management, Ghent University
  • 2012 – 2014: Doctoral research scientist – Laboratory of Hydrology and Water Management, Ghent University
  • 2007 – 2012: MSc. in Applied Biological Sciences – Land and Water Management, Ghent University

Recent or ongoing project

  • SMOS+ET 2 (ESA) – Improving global-scale evaporation estimates through the use of SMOS data (2015-2016)

Selected publications (complete list here)