Synopsis of Topic
Traditional geomorphic change detection is based on some pretty basic concepts and simple assumptions that allow us to conduct very simple spatial analysis operations to show where change has occurred and quantify it. The major challenge of course comes in distinguishing the 'real' net change we're interested in from noise inherit in the data. The basic principles of error estimation, error propagation and how you can do this in ArcGIS are covered in this session.
Why we're Covering it
You have to learn to crawl before you can walk. And in a lot of circumstances, simply crawling maybe good enough to get you there. Plus, it is important to understand what so many previous investigators have done to perform these types of analyses.
You do not need the GCD Software to do meaningful change detection analyses. The principles and methods are straight forward to apply in a GIS environment, or to code up independently. However, the GCD Software exists to facilitate these tasks and analysis by making them easier to undertake and promoting more consistency in the processing. Here we will talk briefly about the history of GCD software development, explain what the software does, show you around in the software, and then go through the same exercises we did in topic E, but with the GCD software.
Learning Outcomes Supported
This topic will help fulfill the following primary learning outcome(s)
for the workshop:
A comprehensive overview of the theory underpinning geomorphic change detection
The fundamental background
necessary to design effective repeat topographic monitoring campaigns
and distinguish geomorphic changes from noise (with particular focus on
Slides and/or Handouts
Relevant or Cited Literature
- Brasington J, Rumsby BT and Mcvey RA. 2000. Monitoring and
modelling morphological change in a braided gravel-bed river using high
resolution GPS-based survey. Earth Surface Processes and Landforms.
25(9): 973-990. DOI: 10.1002/1096-9837(200008)25:9<973::AID-ESP111>3.0.CO;2-Y
J, Langham J and Rumsby B. 2003. Methodological sensitivity of
morphometric estimates of coarse fluvial sediment transport.
Geomorphology. 53(3-4): 299-316. DOI: 10.1016/S0169-555X(02)00320-3
SN, Chandler JH and Richards KS. 1994. Developments in Monitoring and
Modeling Small-Scale River Bed Topography. Earth Surface Processes and
Landforms. 19(4): 349-368. DOI: 10.1002/esp.3290190406.
SN, Westaway RM and Hicks DM. 2003. Estimation of erosion and
deposition volumes in a large, gravel-bed, braided river using synoptic
remote sensing. Earth Surface Processes and Landforms. 28(3): 249-271.
Y and Church M. 1995. Bed-Material Transport Estimated from Channel
Surveys - Vedder River, British-Columbia. Earth Surface Processes and
Landforms. 20(4): 347-361. DOI: 10.1002/esp.3290200405.