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
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 -
Temporally-dense multi-source satellite remote sensing for advancing the monitoring and characterization of tropical forest disturbances
Wageningen University. Promotor(en): M. Herold, co-promotor(en): J. Reiche - Wageningen: Wageningen University - ISBN: 9789464470536 -
Landscape quality assessments using deep learning
Wageningen University. Promotor(en): D. Tuia, co-promotor(en): D. Marcos - Wageningen: Wageningen University - ISBN: 9789464471687
Latest publications
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Mapping the diversity of land uses following deforestation across Africa
Scientific Reports (2024), Volume: 14 - ISSN 2045-2322 -
Revealing the spatial variation in biomass uptake rates of Brazil's secondary forests
ISPRS Journal of Photogrammetry and Remote Sensing (2024), Volume: 208 - ISSN 0924-2716 - p. 233-244. -
UAV‐based simultaneous localization and mapping in outdoor environments: A systematic scoping review
Journal of Field Robotics (2024) - ISSN 1556-4959 -
UAV time-series imagery show diversity treatment effects on cabbage growth
Smart Agricultural Technology (2024), Volume: 8 - ISSN 2772-3755 -
Integrating satellite-based forest disturbance alerts improves detection timeliness and confidence
Environmental Research Letters (2024), Volume: 19, Issue: 5 - ISSN 1748-9326