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
Vacancy
News
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New RADD deforestation alerts now available at Global Forest Watch
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Wildfire management, emissions and NDCs in the dry tropics
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Regulated carbon markets: an opportunity for forest conservation
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New maps of global forest carbon flux offer fresh insights for action
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Deforestation is complicated – and so is the solution
Agenda
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Crop Traits Retrieval and Disease Detection in Potato: UAV Optical Sensing for Plant Monitoring
MH (Marston) Domingues Franceschini MSc
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From field to airborne spectroscopy - advancing spectral data analytics for accurate retrieval of perennial ryegrass biomass and feed quality
G (Gustavo) Togeiro de Alckmin
Agro Food Robotics
The experts of Agro Food Robotics design robotic systems for open field, horticulture, fresh chains and food. We specialise in artificial intelligence and sensing, especially spectral, learning and vision.
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