|Current number of participants||0|
|expected number of participants||6|
|Home institute||Institut für Geographie|
|participating institutes||Wasser- und Bodenressourcenforschung|
|Courses type||Seminar in category Teaching|
|Next date||Fri , 21.05.2021 10:00 - 15:00
|Participants||Die Anmeldung zu dieser Veranstaltung ist noch möglich! Der Kurs hat noch nicht begonnen! (Meldung vom 5.5.21, Studienkoordination Geographie)|
|Online/Digitale Veranstaltung||Veranstaltung wird online/digital abgehalten.|
Field surveying and laser scanning techniques for environmental sciences
Surveying describes a range of methods for measuring and recording the three-dimensional positions of points on or around the Earth’s surface. The methods range from using a simple tape measure, trundle wheel, or compass, to complex 3D modelling using state-of-art technology such as drones or laser scanners. While we may associate surveying with construction and civil engineering, the same techniques can be applied to environmental sciences in order to research and understand processes in natural systems. For soil and water resource studies we can use surveying to measure and characterise (e.g.) soil and coastal erosion and deposition, landslides, peat biomass burning, pedogenesis, fluvial geomorphology, long term ice sheet change, flooding risks, vegetation structure and biomass. Furthermore, for landscape-scale studies it is often necessary to calibrate and validate satellite remote sensing or modelled datasets using high-accuracy ground-based data.
This introductory course will teach you the fundamentals of surveying landforms and vegetation for research purposes. The first part of the course will cover theoretical surveying concepts, techniques, data collection and processing. Secondly, you will learn to use professional-grade ground survey equipment such as Global Navigation Satellite Systems (GNSS), total stations and laser scanners in the field through demonstrations and practical assignments. By the end of the course you will be able to plan and implement a research-quality survey, and process the raw data into meaningful metrics which can be used in scientific studies.
A background in GIS and physical geography is desirable, and participants should be prepared and willing to spend periods outside in all weather conditions.
Firstly, I need to state that because summer is the main time for fieldwork for us, we will not be commiting to a fixed timetable as other courses do. For example, we are planning fieldwork in Spain but do not have fixed dates yet. We will therefore block more time slots than we will actually use. For this reason, we have chosen to teach only on Fridays, when students are less likely to have other commitments. We will inform participants at least 1 week in advance when we are scheduling a teaching day, and will make every effort to teach on consecutive weeks. I will put this information on the Digicampus page.
The course is structured in the following way:
1. 1 day of theory taught via Zoom (3-5 hours)
2. 1/2 day of demonstrations taught on Campus (3-5 hours)
3. 1 day of data collection on Campus (6-8 hours)
4. 1 day of data pre-processing demonstrations, taught on Zoom (c. 3 hours)
5. 1 day of data processing, taught on Zoom (3-4 hours)
6. 1 day of GIS and data presentation, taught on Zoom (3-4 hours)
7. 1 hour of debriefing and feedback.