
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
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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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Integrating UAV-based LiDAR and 3D computer vision to enhance cattle growth monitoring in precision livestock farming
Wageningen University. Promotor(en): Lammert Kooistra, Wensheng Wang, co-promotor(en): Caspar Alexander Mücher - Wageningen: Wageningen University - ISBN: 9789465104041 -
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 -
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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Body Weight Estimation of Cattle in Standing and Lying Postures Using Point Clouds Derived from Unmanned Aerial Vehicle-Based LiDAR
Drones (2025), Volume: 9, Issue: 2 - ISSN 2504-446X -
Potassium molybdate blocks APN-dependent coronavirus entry by degrading receptor via PIK3C3-mediated autophagy
Journal of Virology (2025), Volume: 99, Issue: 1 - ISSN 0022-538X -
Predicting spatial and temporal variability in soybean yield using deep learning and open source data
European Journal of Agronomy (2025), Volume: 164 - ISSN 1161-0301 -
Mitigation of Spatial Effects on an Area-Based Lidar Forest Inventory (2024)
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2025), Volume: 18 - ISSN 1939-1404 - p. 5287-5302. -
Reindeer carcasses modulate vegetation composition and greenness in High-Arctic tundra
Arctic Science (2025), Volume: 11 - ISSN 2368-7460