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.
People
Celebrating 15 years of MSc Geo-Information Science Graduates
This year it is 15 years ago that the first students graduated from the master programme Geo-Information Science (MGI) at Wageningen University.
Read moreNews
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Impacts of the forest definitions adopted by African countries on carbon conservation -
UAV LiDAR Data of Tropical Forests in Australia -
UAVs are capable to detect salt stress in plants -
Geo-Information Science lecturers gain the Best Assessment in the Elsevier Best Studies ranking -
Mapping the Leaf Economic Spectrum across West African Tropical Forests Using UAV-Acquired Hyperspectral Imagery
Agenda
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
Key publications
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Using space-time features to improve detection of forest disturbances from Landsat time series
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Evolving Spatial Data Infrastructures and the Role of Adaptive Governance
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Mapping reflectance anisotropy of a potato canopy using aerial images acquired with an unmanned aerial vehicle
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Large scale land acquisitions and REDD+: a synthesis of conflicts and opportunities
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What are the prospects for citizen science in agriculture? Evidence from three continents on motivation and mobile telephone use of resource-poor farmers
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Using Sentinel-2 data for retrieving LAI and leaf and canopy chlorophyll content of a potato crop
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Intercomparison of unmanned aerial vehicle and ground-based narrow band spectrometers applied to crop trait monitoring in organic potato production