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 -
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 -
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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Object detection and tracking in Precision Farming : a systematic review
Computers and Electronics in Agriculture (2024), Volume: 219 - ISSN 0168-1699 -
Urban green inequality and its mismatches with human demand across neighborhoods in New York, Amsterdam, and Beijing
Landscape Ecology (2024), Volume: 39, Issue: 3 - ISSN 0921-2973 -
Assessing Peru’s Land Monitoring System Contributions towards Fulfilment of Its International Environmental Commitments
Land (2024), Volume: 13, Issue: 2 - ISSN 2073-445X -
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. -
Quantizing reconstruction losses for improving weather data synthesis
Scientific Reports (2024), Volume: 14 - ISSN 2045-2322 - p. 3396-3396.