Research of the Laboratory of Geo-information Science and Remote Sensing
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 by:
- Sensing a changing world
- Understanding human-space interactions
- Empowering agro-environmental communities
Our research has a fundamental character with a clear link to the mission of Wageningen University to produce science for impact. Case studies range from local to global scale and are realized together with national and international partners.
Main fields of research activities:
Deals with 1) quantitative, physical and statistical based retrieval of land surface parameters by latest sensor technology relevant for monitoring applications and earth system modelling; and 2) improved institutional and volunteered in-situ quantitative and qualitative data collection and its analysis.
Focuses on improved understanding of measured and modelled data by 1) spatio-temporal analysis such as deterministic and (geo)statistical prediction, machine- and deep learning, time series analyses and error estimation; and 2) 2D- and 3D-visualisation strategies to communicate the results of such analyses.
Deals with mapping and monitoring of the human impact on the Earth’s surface in terms of biodiversity, climate and social-economic processes. Research focuses on the development of novel approaches for the assessment of land dynamics on multiple scales, and the integration of earth observation data and products in interdisciplinary research, models and applications.
Focuses on understanding, exploring, and predicting the effect of human behaviour on our environment. This research takes a complex adaptive systems approach as a leading concept and develops simulations of land use systems using agent based modelling and cellular automata. Integration between environmental and social sciences is pivotal to bring further the understanding of the complexity of human-environmental systems.
Deals with bringing geo-information into “business” and for societal benefits. Our communities with an agro-environmental focus range from local forest communities, national decision makers to global policy stakeholders such as UN Conventions. We increase the role of earth observation in measuring, reporting and verification systems, improve credibility, legitimacy and saliency of large-area land change assessments, and engage with societal actors in community-based monitoring and management approaches.