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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Ground-Based Soil Moisture Retrieval Using the Correlation Between Dual-Polarization GNSS-R Interference Patterns
IEEE Transactions on Geoscience and Remote Sensing (2024), Volume: 62 - ISSN 0196-2892 - p. 1-10. -
Grassland vertical height heterogeneity predicts flower and bee diversity : an UAV photogrammetric approach
Scientific Reports (2024), Volume: 14, Issue: 1 - ISSN 2045-2322 -
Crustal structure of the Western Azuero Peninsula, Panama : Insights into the structure of accretionary complexes and forearc ophiolites
International Geology Review (2024), Volume: 66, Issue: 1 - ISSN 0020-6814 - p. 172-195. -
DRMAT : A multivariate algorithm for detecting breakpoints in multispectral time series
Remote Sensing of Environment (2024), Volume: 315 - ISSN 0034-4257 -
Sensitivity of Sentinel-1 Backscatter to Management-Related Disturbances in Temperate Forests
Remote Sensing (2024), Volume: 16, Issue: 9 - ISSN 2072-4292