Keywords

visualization, environmental data, central germany, opengeosys project

Start Date

1-7-2012 12:00 AM

Description

Land use and climate changes are some of the most important phenomena which will influence our life in the coming decades. To analyze these phenomena and the projections of their impact, diverse and dynamic data are collected and complex projects for observation and measurement are being developed (e.g. GLUES and TERENO projects). The goal is to find an appropriate way to visualize measured data in combination with simulation results. We propose to develop a generic methodology that can be used beyond the envisaged case study region ’Central Germany’ (Thuringia / Saxony / Saxony-Anhalt). The basis of the visualization consists of raster and vector data for climate, land use, hydrology, agrology, etc. Methods involved in the process of assimilation include up- and downsampling as well as conversions regarding the reference system. The specific user groups of the application are scientists of different domains, stakeholders with expert knowledge and students of the corresponding research fields. They are strongly involved in the data analysis, so that the resulting interactive visualization could be developed according to their requirements. The presentation of the data is geo-referenced across different layers, which include measured data and simulated data for the focused investigation. It also provides additional information in terms of statistics with regard to the scenarios. Layers of simulated data, for example from different scenarios of land use, could be compared and changes could be examined in time response. The visualization will be integrated into an existing framework for data exploration and modeling.

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Jul 1st, 12:00 AM

Visual integration of diverse environmental data: A case study in Central Germany

Land use and climate changes are some of the most important phenomena which will influence our life in the coming decades. To analyze these phenomena and the projections of their impact, diverse and dynamic data are collected and complex projects for observation and measurement are being developed (e.g. GLUES and TERENO projects). The goal is to find an appropriate way to visualize measured data in combination with simulation results. We propose to develop a generic methodology that can be used beyond the envisaged case study region ’Central Germany’ (Thuringia / Saxony / Saxony-Anhalt). The basis of the visualization consists of raster and vector data for climate, land use, hydrology, agrology, etc. Methods involved in the process of assimilation include up- and downsampling as well as conversions regarding the reference system. The specific user groups of the application are scientists of different domains, stakeholders with expert knowledge and students of the corresponding research fields. They are strongly involved in the data analysis, so that the resulting interactive visualization could be developed according to their requirements. The presentation of the data is geo-referenced across different layers, which include measured data and simulated data for the focused investigation. It also provides additional information in terms of statistics with regard to the scenarios. Layers of simulated data, for example from different scenarios of land use, could be compared and changes could be examined in time response. The visualization will be integrated into an existing framework for data exploration and modeling.