Details of Award
NERC Reference : NE/X009254/1
Introduction to Earth Observation Data Science
Training Grant Award
- Lead Supervisor:
- Dr A Khouakhi, Cranfield University, School of Water, Energy and Environment
- Grant held at:
- Cranfield University, School of Water, Energy and Environment
- Science Area:
- Atmospheric
- Earth
- Freshwater
- Marine
- Terrestrial
- Overall Classification:
- Atmospheric
- ENRIs:
- Biodiversity
- Environmental Risks and Hazards
- Global Change
- Natural Resource Management
- Pollution and Waste
- Science Topics:
- Remote Sensing & Earth Obs.
- Abstract:
- There is virtually no area across environmental science that does not benefit from satellite Earth Observation (EO), e.g.: tracking and assessing biodiversity, wildlife, deforestation, rising sea levels, greenhouse gas emissions, glacier retreat and land-use changes. EO data is expected to play an ever-more vital role in future research and in supporting progress towards sustainability, net-zero and climate targets as EO satellite operators grow alongside computing capabilities and algorithms. The ability to seamlessly interrogate and handle EO data, and integrate information from different data streams is increasingly important. However, the skills and tools for rapidly extracting and integrating relevant EO data and developing automated workflows over cloud flatforms are still lacking, particularly for researchers and practitioners with no or limited background in EO satellite and data science. This course is designed to provide participants with the knowledge, workflows and tools to extract, manipulate and visualise EO data. We consider multiple sensors with various spatiotemporal characteristics across the principal 'big EO data' cloud back-ends. Participants are taught time-series extraction and fusion of multisource time series data. One of the strengths of this course is that it focuses on providing the tools to develop automated EO data manipulation workflows that can be adapted to individual use cases. Therefore, the course is relevant to a broad range of research students, postdoctoral researchers and early-career researchers across all the environmental sciences. After completing the course, participants will be in a position to identify and harness EO data to advance their own research and hence drive innovation across the environmental sciences.
- NERC Reference:
- NE/X009254/1
- Grant Stage:
- Completed
- Scheme:
- Doctoral Training
- Grant Status:
- Closed
- Programme:
- Advanced Training
This training grant award has a total value of £48,306
FDAB - Financial Details (Award breakdown by headings)
| Total - Other Costs |
|---|
| £48,306 |
If you need further help, please read the user guide.