Plenary Lecture
Integration of RS and GIS to Encourage Automation, Temporal Analysis and to Support the Decision Making
Associate Professor Dana Klimešová
Dept. of Information Engineering
Faculty of Economics and Management
Czech University of Life Sciences in Prague
&
Institute of Information Theory and Automation
Dept. of Image Processing
Czech Academy of Sciences
Czech Republic
E-mail: klimesova@pef.czu.cz
Abstract: The plenary speech discusses the contribution of remote sensing and image processing techniques to improve cognitive processes, acquire vector data and support decision making. Also the problem of knowledge management is addressed and the different ways of knowledge integration are discussed. The speech is focused on the possibility to support our decisions using GIS and knowledge database in combination with raster oriented advanced methods to acquire, analyze and evaluate data. The satellite data and regular automated processing can bring new aspects into landscape evaluation including temporal point of view and understanding the changes and trends in various contexts.
During the past few decades, significant progress has been made in the development of decision support systems, image processing techniques and geographical information processing. The goal of this kind of research is to integrate information and knowledge and accelerate the use of knowledge-based databases. This approach is closely connected with temporal analysis of objects and it is the reason why the talk focuses on temporal analysis techniques and discusses the various areas where these results can be applied. Accessible satellite data can bring new aspects into landscape evaluation including temporal point of view and understanding various contexts on the background of the process understanding. The plenary speech discusses the contribution of image processing techniques to improve cognitive processes and deals with the relations between knowledge management, uncertainty and the context evaluation on the background of computer science, artificial intelligence and the new possibilities of information technologies that can help us to carry out the knowledge management strategies.
Brief Biography of the Speaker: Dana Klimešová is with the Czech University of Life Sciences Prague (CULS), Faculty of Economics and Management, Kamýcká 129, 165 21 Prague, Czech Republic, (e-mail: klimesova@pef.czu.cz) and with the Institute of Information Theory and Automation Czech Academy of Sciences, Pod vodárenskou věží 4, 182 00 Prague 8. She works on CULS as Associate Professor and Deputy Head of Department of Information Engineering. Education: She received Master Degree in Numerical Mathematics, Faculty of Mathematics and Physics, Charles University in Prague, 1973. Ph.D. Degree in Computer Science, Thesis: Texture Processing in Remote Sensing, Czech Academy of Sciences, Prague, 1987. Research interests: Spatial modelling, geographical information management, context mapping, GIS, image processing. Education activities: Geographical information systems and image processing, remote sensing, projecting and system engineering.