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.
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Education
In the field of education, the Laboratory is strongly participating in the Master Geo-Information Science.
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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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Aboveground carbon stocks and sinks in recovering tropical forests
Wageningen University. Promotor(en): M. Herold, co-promotor(en): V. De Sy, D.M.A. Rozendaal - Wageningen: Wageningen University - ISBN: 9789463958905 -
Mapping of urban landuse and landcover with multiple sensors : Joining close and remote sensing with deep learning
Wageningen University. Promotor(en): D. Tuia - Wageningen: Wageningen University - ISBN: 9789463952514 -
Towards performance assessment of subnational forest-based climate change mitigation initiatives
Wageningen University. Promotor(en): M. Herold, co-promotor(en): V. De Sy, A.E. Duchelle - Wageningen: Wageningen University - ISBN: 9789463952149
Latest publications
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Capacity and establishment rules govern the number of nonnative species in communities of ground-dwelling invertebrates
Ecology and Evolution (2024), Volume: 14, Issue: 3 - ISSN 2045-7758 -
Multi-temporal forest monitoring in the Swiss Alps with knowledge-guided deep learning
Remote Sensing of Environment (2024), Volume: 305 - ISSN 0034-4257 -
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 -
Enhanced dendroprovenancing through high-resolution soil- and climate data
Dendrochronologia (2024), Volume: 84 - ISSN 1125-7865