307 Towards More Impactful Soil Maps with Explicit Uncertainty Assessment: I (includes student competition)

Oral Session
SSSA Division: Pedology
Prediction uncertainty is inevitable in digital soil mapping and modeling (DSMM) due to model inadequacy, parameter uncertainty, input data errors etc. Uncertainty assessment has received increasing attention and is one of the essential components of digital soil products. Users of DSMM products may need to be informed and educated on how to assimilate the uncertainty information into their endeavors. The goals of this session are to: 1) present and discuss the development and application of state-of-the-art methodologies in DSMM uncertainty assessment, and 2) discuss how to effectively communicate the uncertainty of soil predictions to DSMM product users.
Tuesday, November 4, 2014: 1:00 PM-2:20 PM
Long Beach Convention Center, S-1

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Sabine Grunwald and Xiong Xiong
Xiong Xiong
1:00 PM
Introductory Remarks
1:05 PM
Uncertainty in Soil Maps, We're Never Quite Sure.
Alexander Broadfoot McBratney III, University of Sydney; Budiman Minasny, The University of Sydney
1:35 PM
Menace or Opportunity? Uncertainty in Digital Soil Mapping and Modeling.
Xiong Xiong, University of Florida; Sabine Grunwald, University of Florida
1:50 PM
A Semi-Automated Model to Improve Positional Accuracy of Soil Survey Pedons of Indiana.
Minerva Dorantes, Purdue University; Darrell G. Schulze, Purdue University; Phillip R. Owens, Purdue University
2:20 PM