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Session Proposal: Wireless Data Networking for Distributed Sensing in the Earth Sciences: Connecting the Sciences (AGU25)

H163
Wireless Data Networking for Distributed Sensing in the Earth Sciences: Connecting the Sciences

Session ID#: 250043

Session Description:
Advancements in environmental sensors are rapidly increasing the number and types of monitoring tools available, supported by improvements in edge computing, machine learning, and internet-of-things (IoT) cyberinfrastructure. In field locations with limited built infrastructure, these sensor networks require adoption of wireless data networking tools, including cellular, wifi, LoRa, and/or satellite communications to meet project objectives. Typically customized setups, this ad hoc approach can increase field study costs and time and limit the portability of research data networking infrastructure solutions across sites and projects. This session invites examples of wireless environmental data networking solutions for distributed sensing systems across all geoscience disciplines and tools. Presenters will highlight common needs, solutions, lessons learned, and recommended practices applicable to the larger community. The session will also identify challenges that would benefit from community collaboration through the AGU Distributed Sensing Technical Committee.
Co-Sponsor(s):
  • B - Biogeosciences
  • IN - Informatics
  • NH - Natural Hazards
  • NS - Near Surface Geophysics
Index Terms:

1895 Instruments and techniques: monitoring [HYDROLOGY]
1908 Cyberinfrastructure [INFORMATICS]
9805 Instruments useful in three or more fields [GENERAL OR MISCELLANEOUS]
9820 Techniques applicable in three or more fields [GENERAL OR MISCELLANEOUS]
Primary Convener:  Cian Dawson, Lawrence Berkeley National Laboratory, Energy Sciences Network (ESnet), Berkeley, United States
Conveners:  Vinit Sehgal, Louisiana State University, School of Plant, Environmental and Soil Sciences, Baton Rouge, LA, United States, Stijn Wielandt, Lawrence Berkeley National Laboratory, Berkeley, United States and Peng Fu, Louisiana State University, AgCenter, Baton Rouge, LA, United States
Student/Early Career Convener:  Vinit Sehgal, Louisiana State University, School of Plant, Environmental and Soil Sciences, Baton Rouge, LA, United States
 
LaCADIAN: An Integrated Architecture for Field-Scale Environmental Sensing and Telemetry in Louisiana (1895783)
Michael Nii Attoh Agyiri, Louisiana State University, School of Plant, Environmental and Soil Sciences, Baton Rouge, United States, Vinit Sehgal, Louisiana State University, School of Plant, Environmental and Soil Sciences, Baton Rouge, LA, United States and Stacia D Conger, Louisiana State University AgCenter, Bossier City, United States
 
Empowering Undergraduate Research Through LoRaWAN-Enabled Sensor Networks: A Coastal Salt Marsh Case Study from the FS3 Critical Zone Summer Program (1905878)
Marisa Field1, Alex Kapolo Manda2 and Matthew Sirianni2, (1)College of Coastal Georgia, Brunswick, United States, (2)East Carolina University, Department of Earth, Environment and Planning, Greenville, United States
 
Design Methods for Remote Solar-Powered LoRaWAN-based Sensor Network Infrastructure (1933303)
Shah Selbe1, Jacob Lewallen1, Susan Allen1, Virginia Zaunbrecher2, Vincent Deblauwe3 and , (1)FieldKit, Los Angeles, United States, (2)University of California Los Angeles, Los Angeles, United States, (3)University of California Los Angeles/Congo Basin Institute, Los Angeles, United States
 
Many Hands Make Light Work: a Mathematical Justification for Distributed Sensing Systems in Environmental Measurement (1948032)
Dr. Peter Marchetto, PhD, FieldKit, Forestburgh, United States, Annie Kroo, Stanford University, Stanford, United States and Shah Selbe, FieldKit, Los Angeles, United States
 
Expanding access to environmental monitoring through a distributed sensing approach using LoRaWAN (1962848)
Boris Dessimond1, Alex Kapolo Manda2, Stephen M Moysey2, Robert Howard3 and Char'Rese Finney1, (1)ECU Water Resources Center, East Carolina University, Greenville, United States, (2)Water Resources Center, East Carolina University, Department of Earth, Environment and Planning, Greenville, United States, (3)Department of Earth, Environment and Planning, East Carolina University, Greenville, United States
 
Data Mobility for Field Science: Towards a future where science users are first class customers supported by research and engineering networks (1977321)
Andrew Wiedlea1, Stijn Wielandt2 and Cian Dawson1, (1)Lawrence Berkeley National Laboratory, Energy Sciences Network (ESnet), Berkeley, United States, (2)Lawrence Berkeley National Laboratory, Berkeley, United States
See more of: Hydrology
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