Introduction to analysis and visualization of spatial data acquired from databases and satellite images (4EU+) 1900-4EU-IAVSD
Course 1. Data acquisition and display - 12h (ĆW)
Content
Raster and vector databases
Acquisition of free multispectral satellite data, including Landsat and Sentinel.
Basics of analysis and data display.
Course 2. Data processing and visualization - 34 h (ĆW)
Content
Preprocessing of satellite data.
Quantitative and qualitative analyses: calculation of remote sensing indicators, basics of image classification.
Introduction to map graphics
Color use in thematic mapping
Common map types
Course 3. Change detection analysis and thematic mapping - 44 h (ĆW)
Content
Qualitative and quantitative analysis of changes in satellite images
Visual hierarchy in maps
Multivariate thematic mapping
Design map layout
Execution and presentation of the projects conducted individually by each participant.
Type of course
Mode
Prerequisites (description)
Course coordinators
Assessment criteria
Exams, exercises, project
Bibliography
Course 1. Data acquisition and display - 12h (ĆW)
Brewer C., 2015, Designing better maps: a guide for GIS users, ESRI Press
Course 2. Data processing and visualization - 34 h (ĆW)
Golebiowska, I., Korycka-Skorupa, J., and Slomska-Przech, K., 2021. Common Thematic Map Types. The Geographic Information Science & Technology Body of Knowledge (2nd Quarter 2021 Edition), John P. Wilson (ed.). DOI: 10.22224/gistbok/2021.2.7.
Kraak MJ, Roth RE, Ricker B, Kagawa A, Le Sourd G, 2020. Mapping for a Sustainable World. United Nations: New York, NY (USA).
Additional information
Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system: