Laboratory of Geo-information Science and Remote Sensing
The mission of the Centre for Geo-Information is to improve spatial competences for a sustainable world through research and education.
News
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Characterizing Tropical Forest Cover Loss Using Dense Sentinel-1 Data and Active Fire Alerts
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US government considers charging for popular Earth-observing data
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Open Data for Global Multimodal Land Use Classification: Outcome of the 2017 IEEE GRSS Data Fusion Contest
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Climate-smart land use requires local solutions, transdisciplinary research, policy coherence and transparency
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Independent data for transparent monitoring of greenhouse gas emissions from the land use sector – What do stakeholders think and need?
Agenda
Exploring opportunities for Citizen Science in Environmental Monitoring and Food Security applications
Citizen sensing for environmental information
InnoSpace Journey Summer School
OpenEO Test-Hackathon
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