Managing Global Resources for a Secure Future

2017 Annual Meeting | Oct. 22-25 | Tampa, FL

401 Proximal and Remote Sensing Techniques in Soil Physics and Hydrology

Oral Session
SSSA Division: Soil Physics and Hydrology
The rapid technological evolution of airborne (e.g., UAVs, PLMR2, AirMOSS) and satellite remote sensing techniques (e.g., Landsat, Sentinel, SMAP) as well as field-based and laboratory proximal sensing methods (e.g., hyperspectral imaging, ground penetrating radar, x-ray computed tomography, nuclear magnetic resonance imaging, electromagnetic induction surveys, and cosmic-ray neutron monitoring) provides exciting new tools for soil physics and hydrology research. Proximal and remote sensing methods have shown great potential for measurement of soil properties, state variables, and fluxes. This session will highlight recent advances in proximal and remote sensing methods and demonstrate their utility for characterization of soil properties and processes.

Airborne and Satellite Remote Sensing Community
Sensor-Based Water Management Community

Wednesday, October 25, 2017: 1:30 PM-3:05 PM
Marriott Tampa Waterside, Grand Ballroom I and J

Ebrahim Babaeian , Morteza Sadeghi , Susan O'Shaughnessy , Markus Tuller and Ana Wagner
Markus Tuller and Morteza Sadeghi
1:30 PM
Introductory Remarks
1:35 PM
Combining High-Resolution Proximal and Remote Sensing to Evaluate Intrafield Water Use in Irrigated Crop Rotations.
Mallika Nocco, University of Wisconsin-Madison; Samuel C. Zipper, McGill University; Eric Booth, University of Wisconsin-Madison; Matthew D. Ruark, University of Wisconsin-Madison; Steven Loheide, University of Wisconsin-Madison; Christopher Kucharik, University of Wisconsin-Madison
2:05 PM
Primary Drivers of Meso-Scale Soil Moisture Variability: A Cosmic-Ray Neutron Rover Study.
Jingnuo Dong, Oklahoma State University; Tyson E. Ochsner, Oklahoma State University
2:20 PM
Measuring Multiple Soil Properties Simultaneously Using Proximal Soil Sensor Data Fusion.
Wenjun Ji, McGill university; Asim Biswas, University of Guelph; Viacheslav Adamchuk, McGill University
2:35 PM
Multi-Response Modeling for Soil Visible-Near Infrared Reflectance Pattern Prediction.
Setyono Adi, University of Florida; Sabine Grunwald, University of Florida; Willie Harris, University of Florida; David Brenton Myers, University of Missouri
2:50 PM
Using Digital Image Analysis to Compare Soil Moisture Estimation Models.
Cheng-Ying Chuang, National Yunlin University of Science and Technology; Hong-Ru Lin, National Yunlin University of Science and Technology; Yong-Lin Chen, National Yunlin University of Science and Technology; Shao Yang Huang, National Yunlin University of Science and Technology; Jet-Chau Wen, National Yunlin University of Science and Technology
3:05 PM