S05 Pedology Session: New Challenges for Digital Soil Mapping: I (ASA, CSSA and SSSA Annual Meetings (Cincinnati, OH- Oct. 21

New Challenges for Digital Soil Mapping: I

Oral Session

S05 Pedology

This session calls for paper that focus on (i) digital assessment of soil properties using ancillary environmental data; (ii) digital soil mapping and modeling across spatial and temporal scales; (iii) spectral-informed digital soil models; (iv) novel and creative methods to advance digital soil mapping and modeling; and (v) linkages between digital soil mapping and agronomic and environmental applications.

Monday, October 22, 2012: 8:00 AM-11:50 AM

Duke Energy Convention Center, Room 252, Level 2

Organizers:

Sabine Grunwald and Jonathan Hempel

Presider:

Zamir Libohova

8:00 AM

Introductory Remarks

8:05 AM

134-1

Methods for Field Scale Digital Mapping of Soil Functional Properties.
Jenette Goodman, Purdue University; Phillip Owens, Purdue University; Zamir Libohova, USDA-NRCS

8:20 AM

134-2

The STEP-Awbh Space-Time Model for Digital Soil Mapping.
Sabine Grunwald, University of Florida; Janis L. Boettinger, Utah State University; James A. Thompson, West Virginia University

8:35 AM

134-3

Digital Soil Mapping At the Microwatershed Scale (Order 2) Using Soil Legacy Data and Fine-Resolution Satellite Images.
Isabelle Perron, Agriculture and Agri-Food Canada; Michel Nolin, Agriculture and Agri-Food Canada; Mohamed Abou Niang, Agriculture and Agri-Food Canada

8:50 AM

134-4

A Simple Method for Disaggregating Soil Map Polygons to Produce Estimates of Soil Properties At a Grid Resolution of 90 m for the Globalsoilmap.Net Project.
Glenn Lelyk, Agriculture and Agri-Food Canada; Robert A. MacMillan, LandMapper Environmental Solutions Inc; Scott Smith, Agricutlure and Agri-Food Canada

9:05 AM

134-5

Disaggregation of Legacy Soil Maps to Create More Detailed Digital Soil Maps.
Travis Nauman, West Virginia University; James A. Thompson, West Virginia University

9:20 AM

134-6

Improving Soil Maps with a Semantically Calibrated, Digital Model for Delineating Hillslope Position.
Bradley A. Miller, Michigan State University

9:35 AM

Break

9:50 AM

134-7

Predicting Soil Bulk Density for Incomplete Databases.
Cleiton Sequeira, University of Nebraska-Lincoln; Skye Wills, USDA-NRCS; Cathy Seybold, USDA-NRCS; Larry West, USDA-NRCS

10:05 AM

134-8

Digital Soil Organic Carbon Assessment in the Southeastern U.S.
Baijing Cao, University of Florida; Sabine Grunwald, University of Florida; Xiong Xiong, University of Florida

10:20 AM

134-9

Effects of Varying Spatial Resolutions of Remote Sensing Images On Digital Prediction Models for Soil Biogeochemical Properties in the Everglades, Florida.
Jongsung Kim, University of Florida; Sabine Grunwald, University of Florida; Todd Z. Osborne, University of Florida; Rick Robbins, Natural Resources Conservation Service; Rosanna Rivero, University of Florida

10:35 AM

134-10

Fine Scale Variation of Soil Organic Carbon in Different Land Use and Land Cover Types in Florida.
Xiong Xiong, University of Florida; Sabine Grunwald, University of Florida

10:50 AM

134-11

Spatial Interrelations and Multi-Scale Sources of Soil Heavy Metal Variability In a Typical Urban-Rural Transition Area In Yangtze River Delta Region of China.
Yongcun Zhao, Institute of Soil Science, Chinese Academy of Sciences

11:05 AM

134-12

Digital Soil Mapping of Terra Rossa in Southwestern Wisconsin.
David Evans, UW Madison; Alfred E. Hartemink, University of Wisconsin - Madison

11:20 AM

134-13

Utilizing Geostatistics to Increase the Efficacy of Sampling Protocols Used to Measure Soil Organic Carbon.
Kiara Winans, University of Florida; Pierre Goovaerts, University of Florida; Suhas Wani, International Crops Research Institute for the Semi-Arid Tropics; K. Ramesh Reddy, University of Florida

11:35 AM

Discussion

11:45 AM

Concluding Remarks

11:50 AM

Adjourn

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