A Framework for the Multi-Temporal Analysis of Land Cover Change using Visual Analytics
dc.contributor.author | Kinkeldey, C. | en_US |
dc.contributor.author | Schiewe, J. | en_US |
dc.contributor.editor | Silvia Miksch and Giuseppe Santucci | en_US |
dc.date.accessioned | 2014-01-27T15:55:56Z | |
dc.date.available | 2014-01-27T15:55:56Z | |
dc.date.issued | 2011 | en_US |
dc.description.abstract | Land cover change analysis serves as a basis for planning processes in a wide range of applications. For this task, the use of remote sensing data has become more popular over the last decades. However, despite much research in the field of change analysis based on remote sensing data, effective and efficient methods are not available yet. In order to get closer to this goal, we propose the application of Visual Analytics to this field combining computational methods with interactive visualization. We expect that the close integration of the user into the change analysis process will lead to more powerful solutions. However, for the design of tools following this approach we see the need for instruments to formalize workflows. For this reason, we are developing a framework that allows for a systematic workflow description. This contribution presents the basic concept of the framework including an exemplary application. | en_US |
dc.description.seriesinformation | EuroVA 2011: International Workshop on Visual Analytics | en_US |
dc.identifier.isbn | 978-3-905673-82-1 | en_US |
dc.identifier.uri | https://doi.org/10.2312/PE/EuroVAST/EuroVA11/033-036 | en_US |
dc.publisher | The Eurographics Association | en_US |
dc.title | A Framework for the Multi-Temporal Analysis of Land Cover Change using Visual Analytics | en_US |
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