GeoSpatial Visual Analytics

1. Front Matter

   Pages i-x

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2. Spatial Data Infrastructures

   1. A Showcase of Spatial Data Infrastructures and Related Technologies

      • Uwe Jasnoch

      Pages 3-14

   2. Towards Interoperable Environmental Security Applications — The Role of Open Geospatial Service Platform

      • Thomas Usländer

      Pages 15-27

3. Signal and Data Processing

   1. Sorting Spatial Data by Spatial Occupancy

      • Hanan Samet

      Pages 31-43

   2. Gis Model Applications for Sustainable Development and Environmental Planning at the Regional Level

      • Joerg Schaller, Cristina Mattos

      Pages 45-57

   3. Application of Neural Networks In Image Processing and Visualization

      • Paul Dan Cristea

      Pages 59-71

   4. Data Processing for Heavy Metals Accumulation in Urban Areas

      • Dragana Ðorđević

      Pages 73-83

   5. A Multi-Criteria Decision Making Conceptual Approach to Optimal Landfill Monitoring

      • Ana M. Lazarevska, Nicole Fischer, Andreas Haarstrick, Kai MüNnich

      Pages 85-96

   6. Environmental Protection and Industry: Parameters Necessary for Environmentally Related Decision Making

      • Aleksandar NošPal, Ana M. Lazarevska

      Pages 97-112

   7. Time-Frequency Analysis for Sar and Isar Imaging

      • Igor Djurović, Ljubiša Stanković, Vesna Popović, Miloš Daković, Thayananthan Thayaparan

      Pages 113-127

   8. Processing of Multichannel Remote Sensing Data for Environment Monitoring

      • Vladimir Lukin

      Pages 129-138

4. Earth Observation and Remote Sensing

   1. Exploiting Earth Observation Missions: Opportunities and Issues in Ground Segment Interfaces Harmonization

      • Pier Giorgio Marchetti

      Pages 141-153

   2. Data Filtering and Data Fusion in Remote Sensing Systems

      • Jan Ochodnicky

      Pages 155-165

   3. Soil Mapper® Multi-Sensor and Multi-Temporal Applications for Semantic-Based Image Information Mining

      • Simone Mantovani, Stefano Natali, Andrea Baraldi

      Pages 167-176

   4. Cooperative Decentralization: A New Way to Build an Added Value Chain With Shared Multi-Resolution Satellite and Aerial Imagery and Geoinformation

      • Guillermo Villa

      Pages 177-186

   5. Cosmo/Skymed to Support MGCP Mapping

      • Antonio Saitto, Alissa Ioannone, Gian Luca, Eusebi Borzelli

      Pages 187-195

5. Scientific Visualization

   1. Visual Processing of Geographic and Environmental Information in the Basque Country: Two Basque Case Studies

      • Alvaro Segura, Aitor Moreno, Igor García, Naiara Aginako, Mikel Labayen, Jorge Posada et al.

      Pages 199-207

   2. Dynamic Terrains: Cities and Real-Time Video on Gigantic Terrain Models

      • Carlos Andújar, Pere Brunet, José Diaz

      Pages 209-213

   3. Digital Terrain Models: A Tool for Establishing Reliable and Qualitative Environmental Control Processes

      • Yerach Doytsher, Sagi Dalyot, Yaron Katzil

      Pages 215-234

   4. Advanced Clustering Analysis for Environmental Indicators

      • Ido A. Iurgel, Maribel Yasmina Santos

      Pages 235-250

Access, distribution and processing of Geographic Information (GI) are basic preconditions to support strategic environmental decision-making. The heterogeneity of information on the environment today available is driving a wide number of initiatives, on both sides of the Atlantic, all advocating both the strategic role of proper management and processing of environme- related data as well as the importance of harmonized IT infrastructures designed to better monitor and manage the environment. The extremely wide range of often multidimensional environmental information made available at the global scale poses a great challenge to technologists and scientists to find extremely sophisticated yet effective ways to provide access to relevant data patterns within such a vast and highly dynamic information flow. In the past years the domain of 3D scientific visualization has developed several solutions designed for operators requiring to access results of a simulation through the use of 3D visualization that could support the understanding of an evolving phenomenon. However 3D data visualization alone does not provide model and hypothesis-making neither it provide tools to validate results. In order overcome this shortcoming, in recent years scientists have developed a discipline that combines the benefits of data mining and information visualization, which is often referred to as Visual Analytics (VA).

• Catalog Service for the Web
• GIS
• Geoinformationssysteme
• digital elevation model
• geographic data
• geoinformation
• geospatial
• image processing
• information visualization
• remote sensing
• spatial data infrastructure
• visual analysis

• Fondazione GraphiTech Center for Advanced Computer Graphics Technologies, Trento, Italy

  Raffaele De Amicis, Giuseppe Conti

• University of Montenegro, Podgorica, Montenegro

  Radovan Stojanovic

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