MSc: Knowledge-based dwelling detection and categorisation
Suggested by: Stefan Lang, Petra Füreder, Dirk Tiede Background
aim of the EO4HumEn+ project is to develop and demonstrate innovative
applications for satellite image interpretation and GIS to meet the
diverse information needs of the humanitarian community. In particular,
we develop methods to monitor the population dynamics in urban
settlements during crisis situations, improve the analysis capabilities
of the large amounts of freely available Earth Observation data by
implementing partly automated routines, in particular for estimating affected population in crisis situations.
In nearly daily routines, we provide dwelling counts or estimates based on a combination manual interpretation and automated routines. Based on an existing dwelling/building typology with spectral and structural parameters, the thesis aims at
developing a knowledge-based delineation and categorization routine in an object-based classification environment (eCognition).
EO4HumEn+ (Extended EO-based Services for Dynamic Information needs in Humanitarian Action)
Médicins Sans Frontières (MSF), and other NGOs active in the humanitarian domain
Prerequisites / qualification Keen
to collaborate in the GeoHumanitarian Action team at Z_GIS, passionate
in using geospatial technologies forthe humanitarian domain, Advanced Remote Sensing course.