Laboratory of Geo-information Science and Remote Sensing
The mission of the Laboratory of Geo-information Science and Remote Sensing is to improve spatial competences for a sustainable world through research and education.
Chair holders
Inaugural lectures
News
Agenda
Education
In the field of education, the Laboratory is strongly participating in the Master Geo-Information Science.
More Education
Research
Geo-information has become a societal commodity and geo-information science is the driver of its innovation. This trend is evident in the activities of the Laboratory of Geo-Information Science and Remote Sensing (GRS).
Our research aims to Realize the Digital Earth of Locations.
Research topics
- Sensing & measuring
- Modelling & visualization
- Integrated land monitoring
- Human - space interaction
- Empowering & engaging communities
Latest PhD dissertations
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Crop load estimation in orchards: the potential of single RGB images from unmanned aerial vehicles
Wageningen University. Promotor(en): L. Kooistra, co-promotor(en): W. Wang, J. Valente, L. Guo - Wageningen: Wageningen University - ISBN: 9789464478716 -
The biomass challenge: a systems approach to analyze biomass production and flows in the semi-arid zone of Burkina Faso
Wageningen University. Promotor(en): Katrien Descheemaeker, co-promotor(en): Myriam Adam, Erika N. Speelman, David Berre - Wageningen: Wageningen University -
Water resources (re-)distribution from East African forested watertowers : Regional, local, and stakeholders’ perspectives
Wageningen University. Promotor(en): A.J. Teuling, co-promotor(en): P.R. van Oel, A. Ligtenberg, J. Gathenya - Wageningen: Wageningen University
Latest publications
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Hypoxia inducible factor-1α facilitates transmissible gastroenteritis virus replication by inhibiting type I and type III interferon production
Veterinary Microbiology (2024), Volume: 292 - ISSN 0378-1135 -
Capacity and establishment rules govern the number of nonnative species in communities of ground-dwelling invertebrates
Ecology and Evolution (2024), Volume: 14, Issue: 3 - ISSN 2045-7758 -
Multi-temporal forest monitoring in the Swiss Alps with knowledge-guided deep learning
Remote Sensing of Environment (2024), Volume: 305 - ISSN 0034-4257 -
Integrating satellite-based forest disturbance alerts improves detection timeliness and confidence
Environmental Research Letters (2024), Volume: 19, Issue: 5 - ISSN 1748-9326 -
Geographic gradients in a functional trait : Drivers of body size and size diversity of ground invertebrate communities
Ecosphere (2024), Volume: 15, Issue: 3 - ISSN 2150-8925