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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Integrating UAV-based LiDAR and 3D computer vision to enhance cattle growth monitoring in precision livestock farming
Wageningen University. Promotor(en): Lammert Kooistra, Wensheng Wang, co-promotor(en): Caspar Alexander Mücher - Wageningen: Wageningen University - ISBN: 9789465104041 -
The changing face of smallholder farming : Insights from an Amazonian landscape in transition
Wageningen University. Promotor(en): Katrien K.E. Descheemaeker, co-promotor(en): Erika N. Speelman, Daniel Callo-Concha - 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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What is behind land use change in tropical forests? From local relations to global mining concessions
Ecology and Society (2025), Volume: 30, Issue: 1 - ISSN 1708-3087 -
Local perspectives, regional consequences : The socio-environmental impacts of sand harvesting in southern Africa
Extractive Industries and Society (2025), Volume: 23 - ISSN 2214-790X -
Conversion of degraded forests to oil palm plantations in the Peruvian Amazonia : Shifts in soil and ecosystem-level greenhouse gas fluxes
Agriculture, Ecosystems and Environment (2025), Volume: 386 - ISSN 0167-8809 -
GrapeSLAM : UAV-based monocular visual dataset for SLAM, SfM and 3D reconstruction with trajectories under challenging illumination conditions
Data in Brief (2025), Volume: 60 - ISSN 2352-3409 -
Improving the 3D Representation of Plant Architecture and Parameterization Efficiency of Functional-Structural Tree Models using Terrestrial LiDAR Data
AoB Plants (2025), Volume: 17, Issue: 2 - ISSN 2041-2851