
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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Decoupling physiological and non-physiological responses of sugar beet to water stress from sun-induced chlorophyll fluorescence
Remote Sensing of Environment 286 (2023). - ISSN 0034-4257 -
Multi-sensor airborne lidar requires intercalibration for consistent estimation of light attenuation and plant area density
Remote Sensing of Environment 286 (2023). - ISSN 0034-4257 -
Analysing individual 3D tree structure using the R package ITSMe
Methods in Ecology and Evolution 14 (2023)1. - ISSN 2041-210X - p. 231 - 241. -
Inter-comparison of optical and SAR-based forest disturbance warning systems in the Amazon shows the potential of combined SAR-optical monitoring
International Journal of Remote Sensing 44 (2023)1. - ISSN 0143-1161 - p. 59 - 77. -
Strict rule-based automatic training data extraction using Mobile laser scanning in urban area
ISPRS Journal of Photogrammetry and Remote Sensing 195 (2023). - ISSN 0924-2716 - p. 313 - 334.
Latest PhD dissertations
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Data synthesis in crop variety evaluation : spatio-temporal characterization of environmental adaptation
Wageningen University. Promotor(en): A.K. Bregt, co-promotor(en): S. de Bruin; J. van Etten. - Wageningen : Wageningen University - ISBN 9789464474701 - p. -
Games and sustainable futures for agrobiodiversity and smallholder farmer organizations
Wageningen University. Promotor(en): A.K. Bregt, co-promotor(en): E.N. Speelman; D. Bazile. - Wageningen : Wageningen University - ISBN 9789464474923 - p. -
Towards comprehensive characterization of global aquatic land cover
Wageningen University. Promotor(en): M. Herold, co-promotor(en): J.G.P.W. Clevers; N.E. Tsendbazar. - Wageningen : Wageningen University - ISBN 9789464474152 - p.