Remote sensing
The remote sensing department focuses on developing and utilizing remote sensing technologies. These technologies gather information about the Earth’s surface from space. This helps us better understand and manage natural resources and address environmental challenges.
Some functions of the department include conducting research by collecting and analyzing large sets of Earth observation data. We develop models and simulations using this data to predict future trends and inform policy decisions. The department develops applications that utilize Earth observation data to address specific issues, such as tracking land use changes and monitoring natural disasters.
We also collaborate with organizations, such as research institutions, government agencies, and private companies, to effectively share data and expertise. This collaboration helps us develop new remote sensing technologies and applications. We provide education and training to students and researchers to promote the use of remote sensing technologies in various fields.
Research areas
The research areas of a RS department may include:
- Earth observation: Using RS technologies to observe and monitor the Earth’s surface, atmosphere, and oceans.
- Climate change: Using remote sensing data to study and predict changes in the Earth’s climate, including changes in temperature, precipitation, and sea level.
- Land use and land cover: Using remote sensing data to monitor changes in land use and land cover, including deforestation, urbanization, and agricultural practices.
- Natural hazards: Monitoring and predicting natural hazards like floods, wildfires, and earthquakes using Earth observation data.
- Ecosystem health: Using earth observation data to monitor the health and productivity of terrestrial and aquatic ecosystems.
- Urban and Regional Planning and Development: land parcel mapping, cadastral mapping, infrastructure mapping, land use change detection, and urban expansion planning.
- Environmental Policy and Management: Using Earth observation data to inform decisions on environmental policy and management at local, regional, and global levels.