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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Global land use changes are larger than assumed
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Sentinel-1 SAR Backscatter Analysis Ready Data Preparation in Google Earth Engine
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Tropical forest monitoring capacities improve with international support from the GFOI community
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Exploring Archetypes of Tropical Fire-Related Forest Disturbances Based on Dense Optical and Radar Satellite Data and Active Fire Alerts
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Global land characterisation using land cover fractions at 100 m resolution
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
- Agriculture, Forestry and Other Land Use (AFOLU)
- Breaks For Additive Season and Trend (BFAST)
- Change detection and monitoring
- Community-based monitoring
- e-Tribes
- Forest Biomass
- GeoDesk
- GOFC-GOLD
- Historic Land Dynamics Assessment (HILDA)
- HILDA+
- Land Use Carbon & Emission Data (LUCID)
- Radar Remote Sensing
- RADD Forest Disturbance Alert
- REDD@WUR
- Terrestrial Laser Scanning Research
- Unmanned Aerial Remote Sensing Facility (UARSF)
- Validation of CGLS - Dynamic Land Cover product for Africa
Latest publications
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Correction to: Cacao, copoazu and macambo: Exploring Theobroma diversity in smallholder agroforestry systems of the Peruvian Amazon
Agroforestry Systems (2021). - ISSN 0167-4366 -
Characterizing reflectance anisotropy of background soil in open-canopy plantations using UAV-based multiangular images
ISPRS Journal of Photogrammetry and Remote Sensing 177 (2021). - ISSN 0924-2716 - p. 263 - 278. -
Tropical Forest Monitoring: Challenges and Recent Progress in Research
Remote Sensing 13 (2021)12. - ISSN 2072-4292 -
Sub-annual tropical forest disturbance monitoring using harmonized Landsat and Sentinel-2 data
International Journal of applied Earth Observation and Geoinformation 102 (2021). - ISSN 0303-2434 -
Land Use and Land Cover Area Estimates From Class Membership Probability of a Random Forest Classification
IEEE Transactions on Geoscience and Remote Sensing (2021). - ISSN 0196-2892 - p. 1 - 11.
Latest PhD dissertations
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From field to airborne spectroscopy – advancing spectral data analytics for accurate retrieval of perennial ryegrass biomass and feed quality
Wageningen University. Promotor(en): L. Kooistra, co-promotor(en): A. Lucieer; R. Rawnsley. - Wageningen : Wageningen University - ISBN 9789463957663 - p. -
Crop traits retrieval and disease detection in potato: UAV optical sensing for plant monitoring
Wageningen University. Promotor(en): L. Kooistra, co-promotor(en): H. Bartholomeus. - Wageningen : Wageningen University - ISBN 9789463957410 - p. -
Digitalization of smallholder value chain lending partnerships : An interplay of trust and inclusion
Wageningen University. Promotor(en): A. Bregt; P. Macnaghten, co-promotor(en): A. van Paassen; J.R. de Vries. - Wageningen : Wageningen University - ISBN 9789463956376 - p.