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.
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Roles and drivers of agribusiness shaping Climate‐Smart Landscapes -
Spatial decision support systems: Exploring differences in pilot-testing with students vs. professionals -
Call for Abstracts: NCG Symposium 2018 -
Esri Young Scholar Sjoerd Staats at Esri International User Conference -
International comparison of active citizenship by using Twitter data, the case of England and the Netherlands
Agenda
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Remote Sensing and Forest Resource Monitoring -
Tropical deforestation monitoring using Landsat time series and breakpoint detection M (Michael) Schultz
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Exploring the effects of feedbacks on land system behaviour - A complex Adaptive Systems approach Y (Yang) Chen MSc
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Assessing biomass and architecture of tropical trees with terrestrial laser scanning AI (Alvaro) Lau Sarmiento MSc
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
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