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.
Inaugural lectures
News
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Towards the use of satellite-based tropical forest disturbance alerts to assess selective logging intensities
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Inaugural lecture Alexander Klippel: ‘Virtual Reality brings people on the same page’
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Two tenure trackers with an AI focus to join the Laboratory of Geo-information Science and Remote Sensing
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New Project on AI, Digital Twins, and Serious Games
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Detection of artificial seeds from UAV imagery using deep learning models
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
Latest PhD dissertations
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Assessing land use following tropical deforestation : Combining remote sensing and deep learning
Wageningen University. Promotor(en): M. Herold, co-promotor(en): V. De Sy; D. Marcos. - Wageningen : Wageningen University - ISBN 9789464475395 - p. -
Data synthesis in crop variety evaluation : spatio-temporal characterization of environmental adaptation
Wageningen University. Promotor(en): A.K. Bregt, co-promotor(en): S. de Bruin; J. van Etten. - Wageningen : Wageningen University - ISBN 9789464474701 - p. -
Games and sustainable futures for agrobiodiversity and smallholder farmer organizations
Wageningen University. Promotor(en): A.K. Bregt, co-promotor(en): E.N. Speelman; D. Bazile. - Wageningen : Wageningen University - ISBN 9789464474923 - p.
Latest publications
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TomoSense : A unique 3D dataset over temperate forest combining multi-frequency mono- and bi-static tomographic SAR with terrestrial, UAV and airborne lidar, and in-situ forest census
Remote Sensing of Environment 290 (2023). - ISSN 0034-4257 -
Past decade above-ground biomass change comparisons from four multi-temporal global maps
International Journal of applied Earth Observation and Geoinformation 118 (2023). - ISSN 0303-2434 - 12 p. -
Distinguishing forest types in restored tropical landscapes with UAV-borne LIDAR
Remote Sensing of Environment 290 (2023). - ISSN 0034-4257 - 14 p. -
Red Palm Weevil Detection in Date Palm Using Temporal UAV Imagery
Remote Sensing 15 (2023)5. - ISSN 2072-4292 - 21 p. -
Less is more : Optimizing vegetation mapping in peatlands using unmanned aerial vehicles (UAVs)
International Journal of applied Earth Observation and Geoinformation 117 (2023). - ISSN 0303-2434 - 11 p.