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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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 -
Water resources (re-)distribution from East African forested watertowers : Regional, local, and stakeholders’ perspectives
Wageningen University. Promotor(en): A.J. Teuling, co-promotor(en): P.R. van Oel, A. Ligtenberg, J. Gathenya - Wageningen: Wageningen University -
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
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 -
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. -
Assessing Peru’s Land Monitoring System Contributions towards Fulfilment of Its International Environmental Commitments
Land (2024), Volume: 13, Issue: 2 - ISSN 2073-445X