112 Sensor-Driven Digital Soil Mapping: I

Soil sensors (diffuse reflectance spectroscopy, electromagnetic induction, and others) and remote sensors derive proximal soil and environmental data that are incorporated into spatially-explicit soil prediction models. This session will focus on advancements in sensor technologies and synthesis with field and lab-derived data into complex soil prediction models. Uncertainty and accuracy of sensor-derived data will be given special attention.

S05 Pedology
Monday, November 1, 2010: 12:55 PM-2:00 PM
Hyatt Regency Long Beach, Seaview Ballroom B, First Floor
Presiding:
David Brown
12:55 PM
Introductory Remarks
1:00 PM
112-1
Assessment of Automated Image Segmentation for Predictive Soil Mapping.
Matthew Levi, University of Arizona; Craig Rasmussen, University of Arizona; Nathan Starman, USDA - Natural Resouces Conservation Service
1:15 PM
112-2
Using Diffuse Reflectance Spectroscopy to Assess Soil Total Carbon in Agricultural Soils of Hawaii and Other Pacific Islands.
Greg Bruland, University of Hawaii; Meryl McDowell, University of Hawaii; Jonathan Deenik, University of Hawaii; Ray Uchida, University of Hawaii at Manoa; Sabine Grunwald, University of Florida
1:30 PM
112-3
In Situ Soil Characterization: Should Mohammed Go to the Mountain?.
David Brown, Washington State University; Ross Bricklemyer, Washington State University
1:45 PM
112-4
Soil Organic Carbon Pools and Their Spatial Patterns – Rapid Assessment Using Mid-Infrared Spectroscopy.
Ludger Bornemann, University of Bonn; Gerhard Welp, University of Bonn; Wulf Amelung, University of Bonn
2:00 PM
Adjourn
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