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.
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
Projects & Facilities
- Agriculture, Forestry and Other Land Use (AFOLU)
- Breaks For Additive Season and Trend (BFAST)
- Change detection and monitoring
- Community-based monitoring
- e-Tribes
- Forest Biomass
- GeoDesk
- GOFC-GOLD
- Historic Land Dynamics Assessment (HILDA)
- HILDA+
- Land Use Carbon & Emission Data (LUCID)
- Radar Remote Sensing
- RADD Forest Disturbance Alert
- REDD@WUR
- Terrestrial Laser Scanning Research
- Unmanned Aerial Remote Sensing Facility (UARSF)
- Validation of CGLS - Dynamic Land Cover product for Africa
Latest publications
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Behavior Classification and Analysis of Grazing Sheep on Pasture with Different Sward Surface Heights Using Machine Learning
Animals 12 (2022)14. - ISSN 2076-2615 -
Comparison of a UAV- and an airborne-based system to acquire far-red sun-induced chlorophyll fluorescence measurements over structurally different crops
Agricultural and Forest Meteorology 323 (2022). - ISSN 0168-1923 -
Automatic flower cluster estimation in apple orchards using aerial and ground based point clouds
Biosystems Engineering 221 (2022). - ISSN 1537-5110 - p. 164 - 180. -
Exploring characteristics of national forest inventories for integration with global space-based forest biomass data
Science of the Total Environment (2022). - ISSN 0048-9697 -
Recognition of Cattle's Feeding Behaviors Using Noseband Pressure Sensor With Machine Learning
Frontiers in Veterinary Science 9 (2022). - ISSN 2297-1769
Latest PhD dissertations
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Linking evaporation and vegetation characteristics: a data-driven study from plot to global scale
Wageningen University. Promotor(en): M. Herold; A.J. Teuling, co-promotor(en): K. Mallick; M. Machwitz. - Wageningen : Wageningen University - ISBN 9789464471915 - p. -
The potential of UAV-based sun-induced chlorophyll fluorescence in understanding crop photosynthesis
Wageningen University. Promotor(en): L. Kooistra, co-promotor(en): J.G.P.W. Clevers. - Wageningen : Wageningen University - ISBN 9789464472127 - p. -
Collaboration tools for land use policy development
Wageningen University. Promotor(en): A.K. Bregt, co-promotor(en): A. Cormont; S.J.C. Janssen. - Wageningen : Wageningen University - ISBN 9789463957632 - p.