Extraction, analysis and dissemination of geospatial information  

This course teaches the extraction, analysis, and dissemination of information from geospatial data in an iterative approach using concrete applications. Exemplary course topics are the creation of Digital Terrain Models using photogrammetric techniques, and the visualization of the results in a 3D environment using Virtual Reality. Furthermore, you will use different map representations to visualize time series results taking uncertainty of measurements and models into account. Lastly, the design and creation of geoservices and web mapping technology will be discussed.
English
2023-04-20T22:00:00Z
This course deepens the theoretical knowledge and practical skills regarding the extraction, analysis, and dissemination of geospatial information. Theoretical lectures and flipped-classrooms will provide students with in-depth scientific knowledge of the methods and (ungraded) supervised practical sessions will let students practice these skills. An individual assignment will test the student’s practical knowledge on Geovisualization. Key to this course is a group assignment which integrates the various concepts taught in the lectures and promotes peer-learning. Teams will work together to combine the different processes of extraction, analysis and dissemination into a single practical project. Question hours and example exams will help students prepare for the final individual exam which tests the theoretical knowledge acquired during the course.
English
Knowledge and skills as covered in the Core courses Geo-information Science and Modelling, Earth Observation and Data Integration: Principles, Approaches and User perspectives ,Knowledge and skills as covered in the Core courses Geo-information Science and Modelling, Earth Observation and Data Integration: Principles, Approaches and User perspectives. Being able to develop solution strategies, high-level solution descriptions in pseudo-code, and translations of these into an implementation in some programming language as covered in the course Scientific Geocomputing. Knowledge and skills with respect to geodata curation, manipulation and transformation, transformational design, mathematics, spatial data quality and cartographic design principles as covered in course Acquisition and Exploration of Geospatial data.
English
201800290
Extraction, analysis and dissemination of geospatial information
English

UNIVERSITY OF TWENTE

Faculty of Geo-Information Science and Earth Observation