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 -
Through the looking-glass : Marine mammal monitoring in a changing world
Wageningen University. Promotor(en): D. Tuia, co-promotor(en): G. Aarts, B. Kellenberger - Wageningen: Wageningen University - ISBN: 9789464471762 -
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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Sensitivity of Sentinel-1 Backscatter to Management-Related Disturbances in Temperate Forests
Remote Sensing (2024), Volume: 16, Issue: 9 - ISSN 2072-4292 -
Beyond assimilation of leaf area index: Leveraging additional spectral information using machine learning for site-specific soybean yield prediction
Agricultural and Forest Meteorology (2024), Volume: 351 - ISSN 0168-1923 -
WildCLIP: Scene and Animal Attribute Retrieval from Camera Trap Data with Domain-Adapted Vision-Language Models
International Journal of Computer Vision (2024) - ISSN 0920-5691 -
GrapeMOTS: UAV Vineyard Dataset with MOTS Grape Bunch annotations recorded from multiple perspectives for enhanced Object Detection and Tracking
Data in Brief (2024), Volume: 54 - ISSN 2352-3409 -
An aerial framework for Multi-View grape bunch detection and route Optimization using ACO
Computers and Electronics in Agriculture (2024), Volume: 221 - ISSN 0168-1699