Synopsis of Topic
Fuzzy inference systems are a powerful and flexible tool that have a lot
of utility in their application to estimating spatially variable
elevation uncertainty. In this session we introduce the concepts of fuzzy logic, and fuzzy inference systems and show how Wheaton et al. (2010) applied these to producing robust, spatially variable estimates of DEM elevation uncertainty. The cartoon below (click on for larger version), shows an FIS with three inputs used to estimate elevation uncertainty in meters.
Why we're Covering itFuzzy inference systems are supported in the GCD Software and the appropriate construction, calibration and applications of FIS is a critical skill to develop. In this section we focus on understanding how they work and their application; whereas in the next topic, we work on the construction and calibration aspects.Learning Outcomes Supported
This topic will help fulfill the following primary learning outcome(s) for the workshop:
Data and Materials for Exercises

Workshop Topics > Versions > 2 Day Workshop > ANZGG Workshop Topics > 2. Application & Interpretations of Change Detection (Day 2) >