Satellite remote sensing has become a common tool to investigate the different fields of Earth and environmental sciences. The progress of the performance capabilities of the optoelectronic and radar devices mounted on-board remote sensing platforms have further improved the capability of instruments to acquire information about the Earth and its resources for global, regional and local assessments. 

With the advent of new high-spatial and spectral resolution satellite and aircraft imagery new applications for large-scale mapping and monitoring have become possible. The integration with Geographic Information Systems (GIS) allows a synergistic processing of multi-source spatial data. The present conference will be an occasion to outline how scientists involved in the Earth and environmental studies can take advantage of new remote sensing techniques and the advances in spatial technology. Particular subjects are:

• Sensors and Platforms 

• new sensor developments

• radiometric calibration studies

• geometric correction approaches

• simulation studies.

• Processing Methodologies 

• fusion of multi-source and multi-scale data

• multitemporal remote sensing

• integration of remote sensing and GIS

• analysis of optical and thermal data

• hyperspectral analytical approaches

• geoobject-based image analysis

• artificial intelligence approaches

• mobile solutions

• LIDAR techniques.

• Environmental Monitoring Concepts 

• land degradation studies

• natural hazards (floods, landslides)

• landscape modeling

• sustainability and planning

• coastal zone management

• interaction sea-land

• resource management

• global climate change.

• Hazard Mitigation Geologic Applications 

• geological hazards, mine waste

• earthquakes and volcanoes

• lithological and mineral mapping

• mineral and petroleum exploration

• structural geology, tectonics

• hydrogeology.

• Infrastructures and Urban Areas 

• 3D urban modeling

• change detection

• remote sensing for urban information systems

• microclimate studies

• virtual city models

• urban feature extraction with high resolution SAR-sensors.