University of Edinburgh, Old College, South Bridge,
Edinburgh EH8 9YL, United Kingdom
0131 650 1000
The School of GeoSciences at the University of Edinburgh aims to be an international research leader in geo data science. This encompasses the development and application of numerical and computational tools to extract information from radar and satellite data. Our capabilities provide an opportunity to advance science on the current state of climate, ocean resources, land use change, ice sheet dynamics, and risk from natural hazards, and global poverty.
We can offer SMEs a means for near-real time analyses of extreme weather, crop stress, tropical forest losses, ice melt, and urban development, among others. We will train the next generation of geo-data scientists and support businesses to understand and map the changing world with technologies such as novel satellite applications and advanced airborne sending systems.
Advanced airborne sensing systems: Developing, integrating and operating of advanced airborne sensing systems on both conventional platforms and remotely piloted aircraft (RPA). We have operated remote sensing and direct atmospheric sampling equipment, and our current fleet includes a light aircraft and several RPA systems.
Forest monitoring using radar and satellite data: Mapping radar and satellite data to deforestation and forest degradation to better manage our global forest resources and their ecosystem services.
Satellite applications for air pollution and urban health: Integrating earth observation (EO) of different types and origins (space and ground) to realise value from the development of new satellite applications at the city scale.
UAV and ground sensor data: Combining satellite data with other spatially referenced data to generate insights. For example: UAV borne LiDAR used to calibrate forest and agriculture monitoring services or stream-based sensors to supplement flood information.
Climate resilient infrastructure: Extending the use of ground motion data derived from satellites to calibrate a predictive slope stability model.
Predictive capabilities for agriculture: Combining novel sensing and analytical technologies to achieve sustainable agriculture.
Green house gas monitoring and modelling: Linking atmospheric and terrestrial estimates of biosphere sinks and sources into a consistent analysis.
Stuart Simmons: (email@example.com)