88 Management, Analysis, and Interpretation of High-Frequency Sensor Data

Oral Session
ASA Section: Climatology & Modeling
Many sensor systems have the ability to acquire and store high-frequency data on the order of seconds or minutes. However, very large datasets can be amassed in relatively short times, which poses significant challenges in their management, analysis, and interpretation. This session aims to explore high frequency sensor applications, and how to efficiently manage, analyze, and interpret resulting datasets.

Approved for 1.0 CM CEUs.


Sensor-Based Water Management Community

Climatology & Modeling

Sensor-Based Water Management Community

Monday, November 16, 2015: 1:00 PM-1:55 PM
Minneapolis Convention Center, M100 E

Community Leader:
Paul D. Colaizzi
Paul D. Colaizzi and Tyson Raper
Tyson Raper
1:00 PM
Introductory Remarks
1:05 PM
Processing High-frequency Soil Moisture Sensor Data to Characterize Drought Stress Experienced In Large Cotton Variety Trials.
Tyson Brant Raper, University of Tennessee - Knoxville; Derrick M. Oosterhuis, University of Arkansas; Edward M. Barnes, Cotton Incorporated; Darrin Dodds, Mississippi State University; Guy David Collins, University of Georgia - Tifton; Jared Whitaker, University of Georgia; Michael A. Jones, Clemson University; Charles Monks, Auburn University
1:20 PM
Acquisition and Management of Continuous Data Streams for Crop Water Management.
Susan A. O'Shaughnessy, USDA-ARS; Manuel A. Andrade, ORISE Post Doctoral Felllow; Paul D. Colaizzi, USDA-ARS Conservation and Production Research Laboratory; Steven R. Evett, USDA-ARS Conservation and Production Research Laboratory
1:50 PM
Concluding Remarks
1:55 PM
1:55 PM
Community Business Meeting