Synopsis of TopicThere are many sources of uncertainty that contribute to DEM error. In this topic, we will explore these sources of uncertainty and learn about some of the most common approaches and standards for estimating errors and doing accuracy assessments. Why we're Covering itIndependent estimates of elevation uncertainty (treated as DEM error) are a critical part of the GCD workflow. 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
restoration applications)
- Hands-on instruction on use of the GCD software through group-led and self-paced exercises
ResourcesSlides and/or Handouts
Relevant or Cited Literature- Ghilani, C. D. and P. R. Wolf (2012). Elementary surveying: an introduction to geomatics. New Jersey, Pearson Education, Inc.
- Kaplinski, M., et al. (2014). Monitoring Fine-Sediment Volume in the Colorado River Ecosystem, Arizona—Construction and Analysis of Digital Elevation Models. Open File Report 2014-1052. Flagstaff, AZ, US Geological Survey, Grand Canyon Monitoring Research Center: 29 pp.
- In Revision. Schaffrath K, Belmont P and Wheaton JM. Landscape-scale geomorphic change detection: Quantifying spatially-variable uncertainty and circumventing legacy data issues.
- Lane, S.N., Westaway, R.M. and Hicks, D.M., 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. DOI: 10.1002/esp.483.
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