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
-
Tree Biomass Equations from Terrestrial LiDAR -
LiDAR-UAV starring in National Geographic documentary -
Changing opinion, knowledge, skill and behaviour of Vietnamese shrimp farmers by using serious board games -
Urban tourism: Developing a model framework to explore spatio-temporal patterns of pedestrian tourist in Amsterdam -
Estimating aboveground net biomass change for tropical and subtropical forests: refinement of IPCC default rates using forest plot data
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
-
Cooperation can improve the resilience of common-pool resource systems against over-harvesting
-
Roles and drivers of agribusiness shaping Climate-Smart Landscapes : A review
-
Evolving Spatial Data Infrastructures and the Role of Adaptive Governance
-
Intercomparison of unmanned aerial vehicle and ground-based narrow band spectrometers applied to crop trait monitoring in organic potato production
-
Large scale land acquisitions and REDD+: a synthesis of conflicts and opportunities
-
Mapping reflectance anisotropy of a potato canopy using aerial images acquired with an unmanned aerial vehicle
-
Using Sentinel-2 data for retrieving LAI and leaf and canopy chlorophyll content of a potato crop
-
Using space-time features to improve detection of forest disturbances from Landsat time series
-
What are the prospects for citizen science in agriculture? Evidence from three continents on motivation and mobile telephone use of resource-poor farmers