Cartography and GIS

 

Research activities of the CGIS group focus on:

Urban remote sensing

Research activities in the CGIS group mainly focus on land-use/land-cover mapping from remotely sensed data, with emphasis on urban areas.  Special attention in this research goes to the use of knowledge-based methods and machine learning approaches for image interpretation, relying on spectral, textural as well as contextual information.

In recent years, work has mostly focused on hyperspectral remote sensing of urban areas, using airborne data, and well on regression-based approaches for spectral unmixing of medium-resolution data, using high-resolution hyperspectral data for model training. Developing methods to extract information from remotely sensed data that is useful for local and regional decision making is an important concern in much of the work done by the lab.

Monitoring and modeling of urban dynamics

Remote sensing and GIS-driven approaches are developed for monitoring and modelling of urban dynamics, mostly in relation to urban ecology and urban sustainability issues. Specific research topics include mapping and monitoring of urban sprawl, remote-sensing driven calibration of urban growth models, analysis of urban form, urban green monitoring, use and valuation of urban green spaces, impact of urban dynamics on urban ecosystems and ecosystem services, urban quality-of-life assessment.

Map projection design

Being dominated for almost two centuries by the formulation of analytical solutions to increasingly complex map projection problems, computers cleared the way for a numerical treatment of map projection. Work done in this area focuses on the development of appropriate measures to characterize distortion in small-scale maps, and on the use of these measures for developing new tailor-made map projections with less distortion than standard map projections used for mapping at the global and the continental scale.