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Högskolan i Gävle.
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
2014 (English)In: Proceedings of International Multidisciplinary Scientific GeoScience Conference (SGEM), 2014, 2014Conference paper (Refereed)
Abstract [en]

The analysis of flooding levels is a highly complex temporal and spatial assessment task that involves estimation of distances between references in geographical space as well as estimations of instances along the time-line that coincide with given spatial locations. This work has an aim to interactively explore changes of Amur River boundaries caused by the severe flooding in September 2013. In our analysis of river bank changes we use satellite imagery (Landsat 7) to extract parts belonging to Amur River. We use imagery from that covers time interval July 2003 until February 2014. Image data is pre-processed using low level image processing techniques prior to visualization. Pre-processing has a purpose to extract information about the boundaries of the river, and to transform it into a vectorized format, suitable as inputs subsequent visualization. We develop visualization tools to explore the spatial and temporal relationship in the change of river banks. In particular the visualization shall allow for exploring specific geographic locations and their proximity to the river/floods at arbitrary times. We propose a time space visualization that emanates from edge detection, morphological operations and boundary statistics on Landsat 2D imagery in order to extract the borders of Amur River. For the visualization we use the time-spacecube metaphor. It is based on a 3D rectilinear context, where the 2D geographical coordinate system is extended with a time-axis pointing along the 3rd Cartesian axis. Such visualization facilitates analysis of the channel shape of Amur River and thus enabling for a conclusion regarding the defined problem. As a result we demonstrate our time-space visualization for river Amur and using some amount of geographical point data as a reference we suggest an adequate method of interpolation or imputation that can be employed to estimate value at a given location and time.

Place, publisher, year, edition, pages
Keyword [en]
boundary, river channel, visualization, time-space-cube, point reference data
National Category
Computer Vision and Robotics (Autonomous Systems) Computer Science
Research subject
Computerized Image Processing; Human-Computer Interaction
URN: urn:nbn:se:uu:diva-238624DOI: 10.5593/SGEM2014/B21/S8.112OAI: oai:DiVA.org:uu-238624DiVA: diva2:771593
International Multidisciplinary Scientific GeoScience Conference, SGEM
Available from: 2014-12-15 Created: 2014-12-15 Last updated: 2014-12-18

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Publisher's full texthttp://www.sgem.org/sgemlib/spip.php?article4109

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