328 Sensors and Instrumentation for Mapping and Monitoring Applications: I

Oral Session
SSSA Division: Soil Physics
Measuring the variability of soil properties in space and time is critical to improving our models and management of agricultural and natural landscapes. From crop breeding to site-specific management and net ecosystem exchange, all aboveground processes are tightly linked to below-ground conditions. However, successfully quantifying these systems is often extremely difficult. There is considerable work being done that creatively applies sensors and instrumentation to resolve these challenges using novel and innovative techniques. This session aims to highlight these efforts and enhance our understanding of what is being done now, and what could be done in the future to advance measurement tools and provide critical knowledge.

Biophysical Measurements and Sensors Community

Tuesday, November 4, 2014: 1:00 PM-5:10 PM
Long Beach Convention Center, Room 101A

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Cristine L. S. Morgan and Colin S. Campbell
Cristine L. S. Morgan and Colin S. Campbell
1:00 PM
Introductory Remarks
1:25 PM
Linking Soil Water to Water Resources in the Texas Hill Country.
Todd G. Caldwell, University of Texas-Austin; Michael H. Young, University of Texas-Austin; Bridget R. Scanlon, University of Texas at Austin
1:45 PM
Soil Moisture Content in 3D + Time: Visualization and Modeling at the Field-Scale.
Caley Gasch, Washington State University; Tomislav Hengl, ISRIC - World Soil Information; Gerard Heuvelink, ISRIC-World Soil Information; Ben Graeler, Institute for Geoinformatics; David Brown, Washington State University
2:15 PM
Assessing the Value of Multi-Receiver Low-Frequency Electromagnetic-Induction (EMI) Measurement for Assessing Variation in Soil Moisture Content in Field Experiments with Winter Wheat (Triticum aestivum).
Peter Shanahan, Lancaster Environment Centre; Chris W Watts, Rothamsted; Rhys Ashton, Rothamsted Research; Colin Webster, Rothamsted Research; Andrew Binley, Lancaster Environment Centre; William R. Whalley, Rothamsted
2:30 PM
Two-Decade Instrument Performance for Hydrological Monitoring at the Prototype Hanford Barrier.
Fred Zhang, Pacific Northwest National Lab.; Chris Strickland, Pacific Northwest National Laboratory; Ray Clayton, Pacific Northwest National Laboratory; Mark Freshley, Pacific Northwest National Laboratory; Dawn Wellman, Pacific Northwest National Laboratory
2:45 PM
A Near Real-Time Monitoring and Knowledge Generation System to Visualize Vegetation Dynamics.
Colin S. Campbell, Decagon Devices, Inc.; Richard A Gill, Brigham Young University; Gaylon S. Campbell, Decagon Devices, Inc.; Douglas R. Cobos, Decagon Devices, Inc.
3:00 PM
3:10 PM
Using Gamma-Ray Signatures to Identify Horizon Boundaries and Soil Properties within Soil Profiles.
Heather D. Watson, West Virginia University; James A. Thompson, West Virginia University; Cristine L. S. Morgan, Texas A&M University
3:25 PM
Understanding Aerial Gamma Radiometrics through Proximal Soil Surveys.
Gregory S. Rouze, Texas A&M University; Cristine L. S. Morgan, Texas A&M University; Jason P. Ackerson, Texas A&M University; Alexander Broadfoot McBratney III, University of Sydney
3:40 PM
Estimating Soil Clay Content in Situ with a Visnir Penetrometer Fore Optic.
Matteo Poggio, Washington State University; David Brown, Washington State University; Ross S. Bricklemyer, Washington State University
3:55 PM
Penetrometer-Mounted Visnir Spectroscopy: Assimilating in-Situ Spectra with Dry, Ground Spectral Libraries.
Jason P. Ackerson, Texas A&M University; Cristine L. S. Morgan, Texas A&M University; Yufeng Ge, University of Nebraska-Linclon
4:10 PM
Generating Pedotransfer Functions for Basic and Inferred Soil Properties.
Cristine L. S. Morgan, Texas A&M University; Jason P. Ackerson, Texas A&M University; Haly L. Neely, Texas A&M University
4:25 PM
Imvisir a New Tool for High Resolution Soil Characterisation.
Markus Steffens, Lehrstuhl fuer Bodenkunde, TU Muenchen; Henning Buddenbaum, Environmental Remote Sensing and Geoinformatics, Universitaet Trier
4:40 PM
Non-Invasive Seismic Surface Technique for Mapping and Monitoring Soils in the Vadose Zone.
Zhiqu Lu, University of Mississippi; Glenn V. Wilson, USDA-ARS; Craig Hickey, The University of Mississippi
5:10 PM