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September 5th, 2011
Surface Models for Geosciences

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Surface models are frequently used for many applications in geosciences. Models with different scales, variety of data sources, alternative construction approaches and data representations are examples of research issues related to this field. One shared aim is to achieve quality models that satisfy the required needs while remaining efficient. Moreover, controlling data integrity and coherence is essential for many applications that involve decision making.

The aim of the conference is to present and discuss new methods, issues and challenges encountered in all parts of the complex process of gradual development and application of digital surface models. The process covers data capture, data generation, storage, model creation, validation, manipulation, utilization and visualization. Each stage requires adequate methods and contains issues which may substantially decrease the value of the model. Furthermore, the conference provides a platform to discuss about requirements, features and research approaches for virtual reality, 3D modelling, continuous field modelling and other geosciences applications. (Read More)

Topics:

Optical remote sensing for elevation data

LIDAR for elevation data

Radar interferometry for elevation data

GPS for elevation data

Other sources of elevation data

Elevation data integration

Surface model creation

Surface model statistics

Surface model storage (including data formats, standardization, database)

High resolution DMR

Fractal and chaos for surfaces

Feature extraction

Geomorphology

Analysis of surface models

Surface models for hydrology, meteorology, climatology

Surface models for pollution

Surface models for agriculture and forestry

Surface models for signal spreading

Surface models for visibility studies

Surface models for geology (structural, mining)

Surface models for environmental science

Surface models for human geography

Surface models for urban geography

Spatial infrastructures for surface models (including web services)

Uncertainty of surface models and digital terrain analysis

Surface model visual enhancement and rendering

Surface model for 3D visualization and VRML

Surface model for animations

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