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
In 2018, it was 15 years ago that the first students graduated from the master programme Geo-Information Science (MGI) at Wageningen University. To celebrate this milestone an alumni event was organized on Friday December 14, 2018 in the Orion building in Wageningen. Over 180 MGI alumni, students and staff were present during the day.
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Forest biomass retrieval approaches from earth observation in different biomes -
Special Issue "Geospatial Statistics and Spatial/Spatiotemporal Analysis in Remote Sensing" -
Using household survey data to identify large-scale food security patterns across Uganda -
Correcting rural building annotations in OpenStreetMap using convolutional neural networks -
Students present their UAV projects to Minister of Infrastructure and Water Management
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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Cooperation can improve the resilience of common-pool resource systems against over-harvesting
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Roles and drivers of agribusiness shaping Climate-Smart Landscapes : A review
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Evolving Spatial Data Infrastructures and the Role of Adaptive Governance
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Intercomparison of unmanned aerial vehicle and ground-based narrow band spectrometers applied to crop trait monitoring in organic potato production
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Large scale land acquisitions and REDD+: a synthesis of conflicts and opportunities
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Mapping reflectance anisotropy of a potato canopy using aerial images acquired with an unmanned aerial vehicle
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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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Using space-time features to improve detection of forest disturbances from Landsat time series
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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