445/5000 1. Introduction (history, definitions, terms) 2. Topography and surface classification 3. Data models for DEM 4. Source data for DEM, national and global datasets 5. Sampling and DEM creation 6. Interpolation and triangulation 7. Primary and secondary topographic attributes 8. Sources of errors, types of errors, ways of troubleshooting errors in DEM 9. Evaluation of quality and accuracy of DEM 10. Friction surfaces 11. Terrain visualization 12. Analyzes using DEM (volumes, visibility)
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Digital elevation models from the perspective of geoinformatics are the content of the course. Emphasis is placed on basic concepts and key knowledge necessary for application in other environmental applications. The content of the course reflects current issues, including the latest methods for processing elevation data, trends and available data sets.
The course is aimed at acquiring knowledge, define the main concepts, describe the main approaches, and demonstrate theoretical knowledge for solving model problems.
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Brus, J., & Svobodova, J. (2012). The Spatial Expression of an Uncertainty for the Quality Assessment of the Digital Elevation Models.
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Florinsky, I. V. (2016). Digital terrain analysis in soil science and geology.
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Klimánek, M. (2006). Digitální modely terénu.
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Li, Z., Zhu, Ch., Gold, Ch. (2004). Digital Terrain Modeling. Principles and Applications.
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Petrasova, A., Harmon, B., Petras, V., Tabrizian, P., & Mitasova, H. (2018). Tangible modeling with open source GIS.
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Wilson, J. P. (2018). Environmental applications of digital terrain modelling.
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Wilson, J.P., Galant, J. C. (2000). Terrain Analysis: Principles and Applications.
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