GIS for planning, navigation acquisition and visualization of results for the study of chemical munition dumpsites in the Baltic Sea

Y. Chen, I. Cluckie, and K. Takara (Editors)
Natalia Goncharova, Pavel Borodin, and Alexander Greß
In proceedings of 2nd International Conference of GIS/RS in Hydrology, Water Resources and Environment (ICGRHWE '07), Sept. 2007
Presented at 2nd International Conference of GIS/RS in Hydrology, Water Resources and Environment (ICGRHWE '07) / 2nd International Symposium on Flood Forecasting and Management with GIS and Remote Sensing (FM2S '07)
 

Abstract

The MERCW project focuses on the study of chemical munition dumpsites in the Baltic Sea. To analyse the ecological risks related to sea-dumped weapons, data and analyses generated by a variety of disciplines need to be integrated. The most suitable solution to store, visualize and analyse the data, which is spatial by its nature, is to use the functionality of a geographic information system (GIS). We are developing a system, which combines the capabilities and flexibility of a 3D GIS application with the latest advances in various fields of scientific visualization, aiming to integrate the data gathered during more than 30 years of research as well as newly acquired data. Furthermore, for acquisition of new data with high quality, software for marine navigation and cartography should be used with maximum efficiency. The results of data integration will allow better analysis of the available information and efficient planning of the future field investigations. Our goal is to deliver a complex system of useful and easy-to-use tools for collection, storage, analysis and visualization of a wide range of data types.

Keywords: chemical munition dumpsites, GIS, high quality data acquisition, scientific visualization, software for marine navigation and nautical cartography

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Bibtex

@INPROCEEDINGS{goncharova-2007-gis,
      author = {Goncharova, Natalia and Borodin, Pavel and Gre{\ss}, Alexander},
      editor = {Chen, Y. and Cluckie, I. and Takara, K.},
       title = {GIS for planning, navigation acquisition and visualization of results for the study of chemical
                munition dumpsites in the Baltic Sea},
   booktitle = {2nd International Conference of GIS/RS in Hydrology, Water Resources and Environment (ICGRHWE '07)},
        year = {2007},
       month = sep,
    keywords = {chemical munition dumpsites, GIS, high quality data acquisition, scientific visualization, software
                for marine navigation and nautical cartography},
    abstract = {The MERCW project focuses on the study of chemical munition dumpsites in the Baltic Sea. To analyse
                the ecological risks related to sea-dumped weapons, data and analyses generated by a variety of
                disciplines need to be integrated. The most suitable solution to store, visualize and analyse the
                data, which is spatial by its nature, is to use the functionality of a geographic information system
                (GIS). We are developing a system, which combines the capabilities and flexibility of a 3D GIS
                application with the latest advances in various fields of scientific visualization, aiming to
                integrate the data gathered during more than 30 years of research as well as newly acquired data.
                Furthermore, for acquisition of new data with high quality, software for marine navigation and
                cartography should be used with maximum efficiency. The results of data integration will allow
                better analysis of the available information and efficient planning of the future field
                investigations. Our goal is to deliver a complex system of useful and easy-to-use tools for
                collection, storage, analysis and visualization of a wide range of data types.},
  conference = {2nd International Conference of GIS/RS in Hydrology, Water Resources and Environment (ICGRHWE '07) /
                2nd International Symposium on Flood Forecasting and Management with GIS and Remote Sensing (FM2S
                '07)}
}