The Major Theme of AARSE 2008 International Remote Sensing Conference include:

Application of Earth Observation and Geoinformation for Governance in Africa

Sub-Theme 1:  Ecosystem Assessment

• Coastal and Marine Ecosystem
• Water Resources
• Oceanography
• Forestry
• Grassland /Savanna /Semi-arid Ecosystem
• Agricultural and Pastoral Systems
• Urban Ecosystems

Sub-Theme 2:  Non-Renewable Resources Exploitation

• Geology
• Mineral Exploration
• Mining and Sustainable Development of the Communities
• Mining Landscape Renewal
• Earth Resources Data Integration and Modelling

Sub-Theme 3:  Disaster Management & Early Warning Systems

• Desertification and drought
• Floods
• Earthquakes
• Volcanic Eruption
• Landslides
• Biodiversity degradation
• Waste management
• Coastal erosion
• Early warning systems
• Users needs requirements and technology Development
• Data integration and knowledge Discovery
• Disaster Risk Reduction

Sub-Theme 4:  Monitoring Human Security
Mapping and GIS:

• For improving Primary Education
• For Food Security
• For Improving Health and combating HIV/AIDS, Malaria and other parasitic Disease
• For water and Sanitation Improvement
• To support peace keeping operations
• To facilitate humanitarian action

Sub-Theme 5:  Land Administration and Sustainable Development

• Urban Land Administration
• Rural Land Administration for improving Long-term investment
• Mapping for Land use and Conflict Resolution

Sub-Theme 6:  Capacity Building, Global Trade and Partnerships/Regional Co-Operation

• Capacity building initiatives in Earth Observation and Geoinformation Science
• Partnerships and Regional/Sub-Regional Cooperation for Mapping and GIS Capacity Building
• Trade Issues: GIS for Meeting Export Standards

Sub-Theme 7:  Earth Mapping Systems and Governance

• Integrating Spatial Data Infrastructure and Information & Communication Technology
• Global Earth Observation Systems
• Emerging Remote Sensing and Photogrammetric Equipment and Techniques

Sub-Theme 8:  Micro-Satellites: Case Studies and Experiences

• Mapping Applications
• Feature Extraction and Data Fusion
• New Advances and Users