H43P:
Emerging Technologies in Hydrologic Remote Sensing: Drones, Proximal Sensing Using Cosmic Ray Neutron Probes, and More I

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Session ID#: 34751

Session Description:
In recent decades, hydrologic remote sensing data has mostly been acquired from low-earth orbit and geostationary satellites sponsored by large governmental organizations. While tremendously beneficial, these data sources are expensive to develop and generally limited in number. Further, orbital considerations often impose a tradeoff between temporal and spatial resolution. Several emerging technologies have recently matured to the point of viability for hydrologic research - providing high-resolution, high-fidelity data at dramatically lower cost. Technologies using remote platforms include unmanned aerial vehicles (UAVs), Cubesats, and signals of opportunity (e.g crowd-sourced data or GNSS-R). Additionally, the cosmic-ray neutron probes provide a low-cost, proximal sensing platform at hectometer scale that can be fixed or roving and now includes a large existing network. This session brings together studies that demonstrate the development, validation or use of these emerging technologies for observations of the critical zone and other components of the hydrologic cycle.
Primary Convener:  Alexandra G Konings, Stanford University, Earth System Science, Stanford, CA, United States
Conveners:  Trenton E Franz, University of Nebraska Lincoln, School of Natural Resources, Lincoln, United States, Christine E. Hatch, University of Massachusetts Amherst, Geosciences, Amherst, MA, United States and Mie Andreasen, Department og Geography and Geology, University of Copenhagen, Copenhagen, Denmark
Chairs:  Christine E. Hatch, University of Massachusetts Amherst, Geosciences, Amherst, MA, United States and Alexandra G Konings, Stanford University, Earth System Science, Stanford, CA, United States
OSPA Liaison:  Alexandra G Konings, Stanford University, Earth System Science, Stanford, CA, United States
Index Terms:

1848 Monitoring networks [HYDROLOGY]
1855 Remote sensing [HYDROLOGY]
1894 Instruments and techniques: modeling [HYDROLOGY]
1895 Instruments and techniques: monitoring [HYDROLOGY]

Abstracts Submitted to this Session:

Tracking big and small agriculture with new satellite sensors (214532)
David B Lobell1, George Azzari2 and Zhenong Jin2, (1)Stanford University, Department of Earth System Science & Center on Food Security and the Environment, Stanford, United States, (2)Stanford University, Stanford, CA, United States
Evaporation Using Planet Cubesats and the PT-JPL Model: A Precision Agriculture Application (268935)
Bruno Aragon, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia, Rasmus Houborg, King Abdullah University of Science and Technology, Environmental Science and Engineering, Thuwal, Saudi Arabia, Kevin P Tu, Theiss Research, La Jolla, United States, Joshua Fisher, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States and Matthew McCabe, King Abdullah University of Science and Technology, Hydrology, Agriculture and Land Observation (HALO) Laboratory, Division of Biological and Environmental Sciences and Engineering, Thuwal, Saudi Arabia
Utilizing GNSS Reflectometry to Assess Surface Inundation Dynamics in Tropical Wetlands (212796)
Kat Jensen, CUNY Graduate Center, New York, NY, United States, Kyle C McDonald, CUNY City College of New York, Earth and Atmospheric Sciences, New York, NY, United States, Erika Podest, NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States and Clara C Chew, NASA Jet Propulsion Laboratory, Pasadena, CA, United States
Toward Continental-scale Rainfall Monitoring Using Commercial Microwave Links From Cellular Communication Networks (216651)
Remko Uijlenhoet, Wageningen University and Research Center, Wageningen, Netherlands, Hidde Leijnse, Royal Netherlands Meteorological Institute, R&D Observations and Data Technology, De Bilt, Netherlands and Aart Overeem, Royal Netherlands Meteorological Institute, De Bilt, 3730, Netherlands
Critical Zone Co-dynamics: Quantifying Interactions between Subsurface, Land Surface, and Vegetation Properties Using UAV and Geophysical Approaches (257186)
Baptiste Dafflon1, Emmanuel Leger1, John Peterson1, Nicola Falco1, Haruko M Wainwright2, Yuxin Wu3, Anh Phuong Tran1, Eoin Brodie4, Kenneth Hurst Williams3, Roelof Versteeg5 and Susan S. Hubbard6, (1)Lawrence Berkeley National Laboratory, Berkeley, CA, United States, (2)Lawrence Berkeley National Laboratory, Berkeley, United States, (3)Lawrence Berkeley National Laboratory, Earth and Environmental Sciences Area, Berkeley, United States, (4)Lawrence Berkeley National Laboratory, Earth and Environmental Sciences Area, Berkeley, CA, United States, (5)Subsurface Insights, Hanover, NH, United States, (6)Oak Ridge National Laboratory, Oak Ridge, TN, United States
Observing Crop-Height Dynamics Using a UAV (268931)
Matteo Giuseppe Ziliani1, Stephen David Parkes1 and Matthew McCabe2, (1)King Abdullah University of Science and Technology, Thuwal, Saudi Arabia, (2)King Abdullah University of Science and Technology, Hydrology, Agriculture and Land Observation (HALO) Laboratory, Division of Biological and Environmental Sciences and Engineering, Thuwal, Saudi Arabia

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