Wednesday, November 7, 2007: 9:25 AM
Convention Center, Room 224, Second Floor
300: Digital Soil Prediction & Mapping: I. Methods, Examples, Issues
Sponsor:S05 Pedology
Presiding:Jonathan Hempel, USDA-NRCS
9:25 AM Introductory Remarks
9:30 AM300-1The Natural Resources Conservation Service's Digital Soil Mapping Challenge.
Amanda Moore, National Geospatial Development Center, Darrell Kautz, National Geospatial Development Center, Jon Hempel, National Geospatial Development Center, James A. Thompson, West Virginia University, James Burt, University of Wisconsin-Madison, Craig Rasmussen, University of Arizona, A-Xing Zhu, University of Wisconsin-Madison
9:45 AM300-2Purposive Sampling for Digital Soil Mapping under Fuzzy Logic.
A-Xing Zhu, University of Wisconsin-Madison, Lin Yang, Chinese Academy of Sciences, Edward English, University of Wisconsin-Madison, Baolin Li, Chinese Academy of Sciences, Chengzhi Qin, Chinese Academy of Sciences, Pei Tao, Chinese Academy of Sciences, James E. Burt, University of Wisconsin-Madison
10:00 AM300-3Globalsoilmap.net Producing Soil Property Information for the World.
Jonathan Hempel, USDA-NRCS, James Thompson, West Virginia University
10:15 AM300-4Application of Machine Learning Techniques for Soil Survey Updates.
Brian Slater, The Ohio State University, Sakthi Kumaran Subburayalu, The Ohio State University
10:30 AM300-5Economic Benefits of the National Cooperative Soil Survey Program.
Gerald Fletcher, West Virginia University, Jonathan Hempel, USDA-NRCS, Archana Prahan, West Virginia University
10:45 AM Break
11:00 AM300-6Scale Dependence of Environmental Correlation of Soil Spatial Variability: A Comparison of Three Adaptive Techniques.
Daehyun Kim, Texas A&M University, David M. Cairns, Texas A&M University, Keun Bae Yu, Seoul National University, Soo Jin Park, Seoul National University
11:15 AM300-7Determining the Optimal Spatial Interpolations for Soil Properties with Different Sample Sizes.
Qing Zhu, Pennsylvania State Univ., Hangsheng Lin, Pennsylvania State Univ., Xiaobo Zhou, Pennsylvania State Univ., Jun Zhang, Penn State University
11:30 AM300-8Using Decision Tree Analysis for Predictive Soils Mapping in the Great Basin.
Sarah Hash, Oregon State University, Jay S. Noller, Oregon State University
11:45 AM300-9Predicting the Distribution of Mollic Soils using a Solar Radiation Modelling Approach.
Dylan Beaudette, University of California at Davis, Anthony Toby O'Geen, University of California-Davis
12:00 PM300-10Biogeography and Soil Development in the Pumice Zone of Central Oregon.
Sheila Slevin, Oregon State University, Jay S. Noller, Oregon State University
12:15 PM Discussion
12:30 PM Adjourn

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