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
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 -
Landscape quality assessments using deep learning
Wageningen University. Promotor(en): D. Tuia, co-promotor(en): D. Marcos - Wageningen: Wageningen University - ISBN: 9789464471687 -
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
Latest publications
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The role of strategic visibility in shaping wayfinding behavior in multilevel buildings
Scientific Reports (2024), Volume: 14 - ISSN 2045-2322 -
Urban greening co-creation: Participatory spatial modelling to bridge data-driven and citizen-centred approaches
Urban Forestry and Urban Greening (2024), Volume: 94 - ISSN 1618-8667 -
Reviews and syntheses : Remotely sensed optical time series for monitoring vegetation productivity
Biogeosciences (2024), Volume: 21, Issue: 2 - ISSN 1726-4170 - p. 473-511. -
Quo vadis, smallholder forest landscape? An introduction to the LPB-RAP model
PLoS ONE (2024), Volume: 19, Issue: 2 - ISSN 1932-6203 -
Where the White Continent Is Blue : Deep Learning Locates Bare Ice in Antarctica
Geophysical Research Letters (2024), Volume: 51, Issue: 3 - ISSN 0094-8276