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.
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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The changing face of smallholder farming : Insights from an Amazonian landscape in transition
Wageningen University. Promotor(en): Katrien K.E. Descheemaeker, co-promotor(en): Erika N. Speelman, Daniel Callo-Concha - Wageningen: Wageningen University -
Different shades of green : From quantity to quality for improving tropical forest restoration
Wageningen University. Promotor(en): L. Poorter, co-promotor(en): P.H.S. Brancalion, E.M. Veenendaal, H.M. Bartholomeus - Wageningen: Wageningen University - ISBN: 9789465106106 -
Progressing the use of earth observations in national monitoring of forest changes and GHG emissions
Wageningen University. Promotor(en): M. Herold, co-promotor(en): J. Reiche, K. Hergoualc'h - Wageningen: Wageningen University
Latest publications
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Immersive Virtual Reality Dietitian Improves Portion Control Self-Efficacy and Portion Size Estimation Accuracy
Journal of Nutrition Education and Behavior (2025), Volume: 57, Issue: 5 - ISSN 1499-4046 - p. 395-406. -
Using satellite imagery to track the development of the green belt of Astana, Kazakhstan: A remote sensing perspective on artificial forestry development
Remote Sensing Applications: Society and Environment (2025), Volume: 38 - ISSN 2352-9385 - p. 101543-101543. -
Transdisciplinary coordination is essential for advancing agricultural modeling with machine learning
One Earth (2025), Volume: 8, Issue: 4 - ISSN 2590-3330 -
Panta Rhei: a decade of progress in research on change in hydrology and society
Hydrological Sciences Journal (2025), Volume: 70, Issue: 7 - ISSN 0262-6667 - p. 1210-1236. -
Scenario search: finding diverse, plausible and comprehensive scenario sets for complex systems
Socio-Environmental Systems Modelling (2025), Volume: 7 - ISSN 2663-3027