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Integrating Remote Sensing Into Advanced Geomorphological Mapping
Short course
In Bedfordshire ()
Description
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Type
Short course
Remote sensing has opened up significant opportunities for researchers in earth and environmental sciences. Datasets from a wide range of sources can now be used to study fundamental questions in hydrology, geosciences, terrestrial/aquatic ecology, soil science, etc. These same datasets and analytical approaches are also central to modern environmental assessment / monitoring programmes that inform the development of sustainable environmental management strategies. Consequently, an understanding of how remote sensing data can be used to characterise land and water surfaces is essential for today’s environmental scientist and manager. This 5 day course will provide delegates with an up-to-date, advanced introduction to the use of remote sensing for environmental sciences. The course will provide an overview of the range of topographical and spectral datasets available, explain their uses and limitations, and demonstrate how they can be applied for research and management purposes. Through a combination of lectures, computer exercises and fieldwork, delegates will learn how to analyse existing remotely-sensed datasets and to collect and analyse their own using digital photography and Structure-from-Motion (SfM) photogrammetry. Case studies will focus on river-floodplain systems, as these present specific challenges to researchers and practitioners. The course is funded by the Natural Environment Research Council (NERC) Advanced Training Short Course programme. Current PhD students funded by NERC are entitled to a full fee waiver, which covers all costs for the course including fees, UK transportation, accommodation and food. Funded places will be assigned on a first-come, first-serve basis until 18 Dec 2016. After this deadline, funded positions will be opened up to other current PhD students in the order in which they applied. We welcome delegates from outside academia who would like a rigorous introduction to remote sensing, and...
Reviews
Subjects
- Monitoring
Course programme
What you will learn
At the end of the course, delegates will have achieved the following intended learning outcomes (ILOs):
1. Describe best-practice for the management, assimilation, visualisation and analysis of large RS datasets for geomorphological research and application.
2. Compare the different types of RS data commonly used in environmental research and understand how they can be used to answer fundamental questions in fluvial geomorphology.
3. Visualise, manipulate and analyse topographical data (e.g. Environment Agency’s LiDAR datasets) using GIS to delineate and characterise catchments, rivers and landforms using terrain analysis techniques.
4. Extend terrain analysis through the incorporation and integrated analysis of existing spectral datasets (e.g. aerial and satellite multispectral imagery) to identify and classify landforms, vegetation, and sediment characteristics (e.g. grain size).
5. Summarise and assess the suitability of monitoring sensors and instruments to collect topographical data; and explain the concept of and procedure for SfM-based topographic surveying.
6. Devise and execute a field data collection campaign using a SfM approach to develop a digital elevation model of a site, demonstrating best-practice in data management and survey designIntegrating Remote Sensing Into Advanced Geomorphological Mapping