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.
News
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A deep learning framework for matching of SAR and optical imagery
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Integrated assessment of deforestation drivers and their alignment with subnational climate change mitigation efforts
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The future of landslides’ past - a framework for assessing consecutive landsliding systems
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Retrieval of Ryegrass Crude Protein from Spectral Data
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Implementation of BFASTmonitor Algorithm on Google Earth Engine to Support Large-Area and Sub-Annual Change Monitoring Using Earth Observation Data
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