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Details of Award

NERC Reference : NE/N018753/1

Integrating remote sensing into advanced geomorphological mapping

Training Grant Award

Lead Supervisor:
Dr R Grabowski, Cranfield University, School of Water, Energy and Environment
Science Area:
Earth
Freshwater
Terrestrial
Overall Classification:
Freshwater
ENRIs:
Environmental Risks and Hazards
Global Change
Natural Resource Management
Science Topics:
Catchment management
River morphology
Hydrological Processes
Fluvial processes
Sediment transport
Sedimentary deposits
Sediment/Sedimentary Processes
Sediment supply
Sediment transport
Fluvial systems
Earth Surface Processes
Fluvial geomorphology
Fluvial zones
Water framework directive
Water Quality
Catchment management
Abstract:
Remote sensing (RS) datasets are used by a wide range of scientists to answer fundamental questions in hydrology, geosciences, terrestrial/aquatic ecology, etc. Geomorphology is no exception, and the accurate topography and landform characteristic data provided by RS technology are being increasingly used to study sediment transport processes. However the discipline of river (i.e. fluvial) geomorphology has not embraced RS data as widely and uniformly as other disciplines, with the majority of research on medium and small sized rivers still entirely dependent on traditional fieldwork. This has arisen because of the challenges of studying long, thin (often muddy) features that are impacted by factors at large spatial and long temporal scales (e.g. land cover change). Consequently an Advanced Training Short Course is needed on the discipline-specific use and analysis of RS data to ensure that new researchers have the full toolbox of skills needed for geomorphological research in the 21st century. The 5-day residential short course will introduce students to the diversity of available RS datasets and train them in the correct methods to handle, store, and analyse topographic and spectral data for terrain analysis and fluvial geomorphological research. It will also introduce them to low-cost, but high accuracy, topographic surveying in the form of structure-from-motion (SfM) photogrammetry, which is fast becoming a fundamental research tool. The course will be co-delivered by experts in fluvial geomorphology, remote sensing technology, spatial data management, Geographical Information Systems (GIS) and photogrammetry using a combination of lectures, computer practicals and fieldwork. The knowledge and skills gained in this course will help geomorphologist and researchers in related fields to extend and advance their research. Furthermore, given the importance of geomorphology to current environmental legislation (termed hydromorphology in the Water Framework Directive), it will also provide crucial transferable skills in spatial data management and analysis for those looking to transition to careers in consultancy, management and conservation.
Period of Award:
1 Apr 2016 - 31 Mar 2017
Value:
£32,880
Authorised funds only
NERC Reference:
NE/N018753/1
Grant Stage:
Completed
Scheme:
Doctoral Training
Grant Status:
Closed

This training grant award has a total value of £32,880  

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FDAB - Financial Details (Award breakdown by headings)

Total - Other Costs
£32,880

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