H13K:
Understanding Hydrogeophysical States and Fluxes: Connecting Point Scale Information with Remote Sensing Posters


Session ID#: 9748

Session Description:
Methods to observe the spatial and temporal dynamics of mobile constituents such as water, gas, and carbon are needed to improve our understanding of near-surface processes and ecosystem function.  With the recent explosion of hydrogeophysical sensing products – from satellite- and UAV-based remote sensing to large-scale terrestrial sensor networks to emerging techniques such as background neutron radiation – pragmatic and rigorous strategies to merge data from different techniques and scales are critical. We seek approaches that incorporate hydrogeophysical techniques to bridge temporal and spatial monitoring gaps. Possible submissions could range from calibration and validation of SMOS/SMAP soil moisture data, calibration and validation of remotely sensed ET products, downscaling of remotely sensed products, value-addition to remotely sensed products, design of monitoring networks, design of mobile sensor platforms, or any other interesting measurement or modeling technique merging datasets across spatiotemporal scales.
Primary Convener:  Ryan D. Stewart, Virginia Polytechnic Institute and State University, Crop and Soil Environmental Sciences, Blacksburg, VA, United States
Conveners:  Trenton E Franz, University of Nebraska Lincoln, School of Natural Resources, Lincoln, United States, Majken Caroline Looms, Univ Copenhagen, Copenhagen K, Denmark and Chadi Sayde, North Carolina State University, Biological and Agricultural Engineering, Raleigh, NC, United States
Chairs:  Ryan D. Stewart, Virginia Polytechnic Institute and State University, Crop and Soil Environmental Sciences, Blacksburg, VA, United States, Trenton E Franz, University of Nebraska Lincoln, School of Natural Resources, Lincoln, United States, Majken Caroline Looms, University of Copenhagen, København K, Denmark and Chadi Sayde, North Carolina State University, Biological and Agricultural Engineering, Raleigh, NC, United States
OSPA Liaison:  Ryan D. Stewart, Virginia Polytechnic Institute and State University, Crop and Soil Environmental Sciences, Blacksburg, VA, United States

Cross-Listed:
  • A - Atmospheric Sciences
  • B - Biogeosciences
  • NS - Near Surface Geophysics
Index Terms:

1835 Hydrogeophysics [HYDROLOGY]
1848 Monitoring networks [HYDROLOGY]
1855 Remote sensing [HYDROLOGY]
1895 Instruments and techniques: monitoring [HYDROLOGY]

Abstracts Submitted to this Session:

Copula-based conditional merging of information on different spatial and temporal scales (64270)
Sebastian Hörning, University of Stuttgart, Stuttgart, Germany and Andras Bardossy, University of Stuttgart, Chair of Hydrology and Geohydrology, Stuttgart, Germany
Validation of the Soil Moisture Active Passive mission using USDA-ARS experimental watersheds (Invited) (64892)
Michael H Cosh, U. S. Department of Agriculture, Beltsville, United States, Thomas J Jackson, USDA ARS, Pendleton, OR, United States, Rajat Bindlish, Science Systems and Applications, Inc., Lanham, MD, United States, Andreas Colliander, NASA Jet Propulsion Laboratory, Pasadena, United States, Seungbum Kim, NASA Jet Propulsion Laboratory, Pasadena, CA, United States, Narendra N Das, NASA Jet Propulsion Laboratory, Water and Carbon Cycle Group, Pasadena, CA, United States, Simon H Yueh, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, David D Bosch, USDA, ARS, Tifton, United States, David C Goodrich, USDA-ARS Southwest Watershed Research Center, Tucson, United States, John H Prueger, USDA ARS, Beltsville, MD, United States, Patrick j Starks, USDA-ARS, El Reno, OK, United States, Stanley Livingston, USDA, ARS, National Soil Erorion Research Lab, West Lafayette, IN, United States, Mark S Seyfried, USDA-ARS, Northwest Watershed Research Center, Boise, United States and Evan J Coopersmith, USDA Beltsville Agricultural Research Center, Beltsville, MD, United States
Recent Developments in Active and Passive Distributed Temperature Sensing for Soil Moisture Monitoring (Invited) (65408)
Susan C Steele-Dunne1, Jianzhi Dong2, Olivier Hoes3, Nick Van De Giesen1, Chadi Sayde4, Tyson E. Ochsner5 and John Steven Selker6, (1)Delft University of Technology, Faculty of Civil Engineering and Geosciences, Delft, Netherlands, (2)Massachusetts Institute of Technology, Cambridge, MA, United States, (3)Delft University of Technology, Delft, Netherlands, (4)Oregon State University, Corvallis, OR, United States, (5)Oklahoma State University, Plant and Soil Sciences, Stillwater, OK, United States, (6)Oregon State University, Biological and Ecological Engineering, Corvallis, OR, United States
Improving the Operability of the Cosmic-ray Neutron Soil Moisture Method: An Estimation of Lattice Water using Global Datasets (65457)
Catherine Emily Finkenbiner1, William Alexander Avery1, Mark Kuzila2, Francisco Munoz-Arriola2 and Trenton E Franz3, (1)Oregon State University, Department of Biological & Ecological Engineering, Corvallis, OR, United States, (2)University of Nebraska Lincoln, Lincoln, NE, United States, (3)University of Nebraska Lincoln, School of Natural Resources, Lincoln, United States
Determination of site specific calibration functions for the estimation of soil moisture from measurements of cosmic-ray neutron intensity (71887)
Mie Andreasen1, Majken Caroline Looms1, Heye R Bogena2, Darin Desilets3, Marek G Zreda4 and Karsten H. Jensen1, (1)University of Copenhagen, København K, Denmark, (2)Forschungszentrum Jülich GmbH, Jülich 52428, Germany, (3)Organization Not Listed, Albuquerque, NM, United States, (4)University of Arizona, Tucson, AZ, United States
The Added Utility Of Nonlinear Techniques In Rescaling Soil Moisture Time Series (71983)
Mahdi Hesami Afshar, Middle East Technical University, Ankara, Turkey and M Tugrul Yilmaz, Middle East Technical University, Civil Engineering, Ankara, Turkey
Impacts of Irrigation on Soil Moisture Scaling Properties and Downscaling (74094)
Ara Ko1, Giuseppe Mascaro2 and Enrique R Vivoni2, (1)Arizona State University, Tempe, AZ, United States, (2)Arizona State University, School of Sustainable Engineering and the Built Environment, Tempe, AZ, United States
A Scale-Wetness-Heterogeneity (SWHET) Cuboid to Validate Footprint Scale Soil Moisture (83720)
Nandita Gaur, Texas A&M University, College Station, United States and Binayak Mohanty, Texas A&M University, Department of Biological and Agricultural Engineering, College Station, United States
A Methodology for Soil Moisture Retrieval from Land Surface Temperature, Vegetation Index, Topography and Soil Type (83758)
Nawa Raj Pradhan, US Army Corps of Engineers, Engineer Research and Development Center, Coastal and Hydraulics Laboratory, Jacksonville, FL, United States
Modeling Transient Root-zone Soil Moisture Dichotomies in Landscapes with Intermixed Land Covers (84332)
Andres Patrignani, Kansas State University, Manhattan, United States and Tyson E. Ochsner, Oklahoma State University, Plant and Soil Sciences, Stillwater, OK, United States

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