I. Thresholding Alternatives


Synopsis of Topic

Today we will introduce a variety of techniques for estimating errors and propagating errors. Once you have an uncertainty estimate for your DoD, how do you use this information to distinguish real change from noise? Typically some sort of threshold is established, such as a minimum level of detection or a confidence interval on a probability that change is real. Then there is the question of what to do with data below that threshold. Exclusion is the most common method, but subtraction and weighted sums are other possibilities. In this session, we cover these alternatives and show you how to interact with these in the GCD software.

Simple MinLoD

Propagated Error


Why we're Covering it

Thresholding is a key concept in developing estimates of net change and volumetric estimates of erosion and deposition.

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


Slides and/or Handouts


Relevant Links

Relevant or Cited Literature

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