Academic Output and Achievements
Awards
Jana Lim wins TGS Award 2023 and PhD Position
MSc research theses
The final stage of the GEM programme is dedicated to executing an individual research project. Each student works independently on an approved research topic from one of the research fields related to the programme and writes their MSc research thesis on it.
During the project, the students develop their research skills further and have to demonstrate that they can use the knowledge acquired during the programme to successfully complete their research project.
The following listings of the academic output of the GEM MSc students are available:
UCLouvain
Students in Track 2 and 4 worked on their MSc Research at UC Louvain, Belgium.
- Sheikh, Maaz (2023): Assessing cropland abandonment in rural conflict areas using satellite imagery in humanitarian contexts
- Raufu, Ibrahim (2023): Improving wheat crop yield estimation by assimilation of remote sensing biophysical variable in the Simple Algorithm for Yield Estimation (SAFY) model : a case study of Spain
- Akanazu, Lilian (2023): Analysis of the interaction between road network and gully erosion in Kinshasa, D. R. Congo
- Odera, Catherine (2023): Improving maize crop yield estimation by assimilating remotely sensed biophysical variables in AquaCrop agrometeorological model : a case study of Western Kenya
Search | Mémoire UCL (uclouvain.be)
ITC
Students in Track 1 and 3 worked on their MSc Research at the University of Twente, Faculty of Geo-information Science and Earth Observation (ITC), the Netherlands.
- Fauzan, Muhammad Afif (2023): Deep learning-based polarimetric SAR and optical image fusion to map oil palm along rivers.
- Islam, M.S. (2023): Forest net primary productivity response to an extreme climate event.
- Münch, Finn Benjamin (2023): Assessment of methods for mangrove cover mapping on shrimp farms using high spatial resolution remote sensing.
- Mutugi Murithi, Chris (2023): Intercomparison of methods for estimating Leaf Angle Distribution with terrestrial LiDAR for broadleaf tree species.
