H132
The MacGyver Session: The Place for Novel, Exciting, Self-Made, Hacked, or Improved Sensors, Data Acquisition, and Data Transmission Solutions to Understand the Geosphere Posters
Session ID#: 80461
Session Description:
This 11
th edition of the MacGyver session focuses on the
Data & Emerging Technologies theme of the Fall Meeting. All geoscientists are invited to present
- new sensor systems, using technologies in novel or unintended ways
- new data storage or transmission solutions sending data from the field with LoRa, WIFI, GSM, or any other nifty approach
- started initiatives (e.g., Open-Sensing.org) that facilitate the creation and sharing of novel sensors, data acquisition and transmission systems.
Connected a sensor for iPhone to an Arduino or Raspberri Pi? 3D printed an automated water quality sampler? Or build a Cloud Storage system from Open Source Components? Show it! New methods in hydrology, plant physiology, seismology, remote sensing, ecology, etc. are all welcome. Bring prototypes and demonstrations to make this the most exciting Poster Only (!) session of the Fall Meeting.
This session is co-sponsered by MOXXI, the working group on novel observational methods of the IAHS.
Index Terms:
1895 Instruments and techniques: monitoring [HYDROLOGY]
9805 Instruments useful in three or more fields [GENERAL OR MISCELLANEOUS]
Primary Convener: Rolf Hut, Delft University of Technology, Faculty of Civil Engineering and Geosciences, Delft, Netherlands
Conveners: Theresa Blume, GFZ German Research Centre, Potsdam, Germany, Andrew D Wickert, University of Minnesota, Department of Earth & Environmental Sciences and Saint Anthony Falls Laboratory, Minneapolis, MN, United States and Chet Udell, Oregon State University, Biological & Ecological Engineering, Corvallis, OR, United States
Primary Liaison: Rolf Hut, TU Delft, Delft, Netherlands
Hybrid energy module for environmental science experiments and studies (487002)
Misha Krassovski, Oak Ridge National Laboratory, Environmental Sciences Division, Oak Ridge, TN, United States, Jeffery S Riggs, Oak Ridge National Laboratory, Oak Ridge, TN, United States, Chris Tavino, Oak Ridge National Laboratory, Laboratory Modernization Division, Oak Ridge, TN, United States, Stan Wullschleger, Oak Ridge National Laboratory, Climate Change Science Institute, Environmental Science Division, Oak Ridge, TN, United States and Susan L Heinz, Oak Ridge National Laboratory, Oak Ridge, United States
New optode applications for partitioning river corridor respiration (495602)
Matthew Kaufman1, Aditi Sengupta1, Keny Zanotti1 and James Stegen2, (1)Pacific Northwest National Laboratory, Richland, WA, United States, (2)Pacific Northwest National Laboratory, Biological Sciences, Richland, WA, United States
Introducing the Self-Cleaning FiLtrAtion for Water quaLity SenSors (SC-FLAWLeSS) system. (500233)
Aashish Khandelwal1, Ricardo Gonzalez-Pinzon1, Peter Regier1, Justin Nichols1 and David J Van Horn2, (1)University of New Mexico Main Campus, Civil, Construction and Environmental Engineering, Albuquerque, NM, United States, (2)University of New Mexico, Biology, Albuquerque, NM, United States
Intervalometer (Slight Return) (506632)
Nick Van De Giesen1, Didier de Villiers2, Rolf Hut3, Marc Schleiss4 and Marie-Claire Ten Veldhuis2, (1)Delft University of Technology, Department of Water Management, Faculty of Civil Engineering and Geosciences, Delft, Netherlands, (2)Delft University of Technology, Water Management, Delft, Netherlands, (3)TU Delft, Delft, Netherlands, (4)Delft University of Technology, Geosciences and Remote Sensing, Delft, Netherlands
Assessment of uncertainty of flow velocity by ADCP monitoring boat (512957)
Taichi Tebakari, Imizu, Toyama, Japan, Shojun Arai, Toyama Prefectural University, Imizu, Japan and Takashi Kitsuda, Hydro Systems Development, Inc., Osaka, Japan
A machine learning approach to mineral mapping of iron ore front using hyperspectral remote sensing data (518690)
Rosa Elvira Correa Pabón, ITV Instituto Tecnológico Vale, Robotics Lab, Ouro Petro, Brazil, Arthur Oliveira Viana, UFOP-Federal University of Ouro Preto, PROFICAM, Ouro Preto, Brazil, Thais Andressa Carrino, UFPE Federal University of Pernambuco, Geology, Recife, Brazil and Gustavo Pessin, ITV Instituto Tecnológico Vale, Robotics Lab, Ouro Preto, Brazil
Exploring Robot Communication Methods for Geological Activities (520336)
Sandro Geraldo Alves Sobreira1, Levi Welington de Resende Filho2, Rosa Elvira Correa Pabón3, Hector Azpurua4, Gustavo Pessin4 and Jaco DIAS Domingues4, (1)UFOP-Federal University of Ouro Preto, PROFICAM, Ouro Preto, Brazil, (2)Federal University of Ouro Preto, PROFICAM, Ouro Preto, Brazil, (3)ITV Instituto Tecnológico Vale, Robotics Lab, Ouro Petro, Brazil, (4)ITV Instituto Tecnológico Vale, Robotics Lab, Ouro Preto, Brazil
"The Integrator": A novel technique to monitor environmental flow systems (585867)
Ricardo Gonzalez-Pinzon1, Jancoba Dorley1, Peter Regier1, James Fluke1, Kelsey Bicknell1, Justin Nichols1, Aashish Khandelwal1, Emily Wolf1, Sarah N Caruana1 and David J Van Horn2, (1)University of New Mexico Main Campus, Civil, Construction and Environmental Engineering, Albuquerque, NM, United States, (2)University of New Mexico, Biology, Albuquerque, NM, United States
3D HyperSense: 1-100 meter, Low-Cost Programmable Gantry and Sensor Suites (594950)
Ariel Rae Stroh1, Eli Winkelman1, Lars Larson1, Elad Levintal2, Lloyd Nackley3, Joseph Davidson1, John S Selker4 and Chet Udell5, (1)Oregon State University, Corvallis, OR, United States, (2)Ben-Gurion University of the Negev Midreshet, Sde Boker, Israel, (3)Oregon State University, Nursery Production, Corvallis, United States, (4)Oregon State University, Biological and Ecological Engineering, Corvallis, OR, United States, (5)Oregon State University, Biological & Ecological Engineering, Corvallis, OR, United States
The Spudfinder 6500: A new, inexpensive ground-penetrating radar sensing and analysis workflow (599492)
Peter Marchetto1, James Clinton2,3, Nathan Rockafellow2,3 and Ce Yang3, (1)University of Minnesota Twin Cities, Minneapolis, MN, United States, (2)Breck School, Golden Valley, MN, United States, (3)University of Minnesota Twin Cities, Bioproducts and Biosystems Engineering, Saint Paul, MN, United States
Custom Autonomous Watercraft with Improved Transect Heading Accuracy to Ascertain Higher Quality Measurements with the Sontek River Surveyor S5 (632001)
William Doyle1, Laura Veronica Alvarez2, Matthew S Whitehead3, Gustavo Britto Hupsel de Azevedo4, Bryan Boone3 and Phillip Bruce Chilson5, (1)University of Oklahoma, Norman, OK, United States, (2)Arizona State University, Tempe, AZ, United States, (3)University of Oklahoma, Norman, United States, (4)University of Oklahoma Norman Campus, Norman, OK, United States, (5)University of Oklahoma, Meteorology, Norman, OK, United States
