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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Sustainable intensification of dairy production can reduce forest disturbance in Kenyan montane forests -
Detecting Mammals in UAV Images: Best Practices to address a substantially Imbalanced Dataset with Deep Learning -
Deep multi-task learning for a geographically-regularized semantic segmentation of aerial images -
Plant Structure-Function Relationships and Woody Tissue Respiration: Upscaling to Forests from Laser-Derived Measurements -
Exploring farmers’ intentions to adopt mobile Short Message Service (SMS) for citizen science in agriculture
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