Times: 2 hours each day – 11:00am – 1:00pm US ET, 17:00-19:00 CET
Primary Audience: Graduate students, and postdocs from the Earth Science
Secondary Audience: Geodesists, hydrologists, oceanographers, and cryosphere scientists

Description and Learning Objectives

GNSS-IR is a method for estimating environmental parameters using data from geodetic-quality GNSS sites.  It is used to measure changing conditions below a GNSS antenna such as snow depth, soil moisture, and water levels. By the end of the workshop we anticipate that participants will be able to: 

• Describe the accuracy and precision of the GNSS-IR technique.
• Describe the strengths/weaknesses of the GNSS-IR technique for each of the following cases: snow accumulation, soil moisture, and water levels.
• Install the gnssrefl software prior to the class using the online instructions and one of three sources: the github source code repository, the Jupyter Notebooks, or via a docker.  
• Use the gnssrefl software to 
  • Download GNSS data and orbits from global archives
  • Analyze GNSS data for environmental sensing applications such as soil moisture, snow depth, and water levels.

Prerequisite, Computers and Data

• Students must provide their own computing platform. 
• A stable and robust internet connection is required for downloads and streaming a virtual meeting.
• Depending on the installation method used, the gnssrefl software package requires 0.25 to 1 gigabytes of disk space.
  • Students using the docker version of gnssrefl must use linux, a PC, or a Mac.
  • Students familiar with python may prefer to install the source code from github or the pypi repository.

Agenda

For the full course agenda, and all materials and recordings please visit the 2023 GNSS-IR Short Course Github

May 2. Basic principles of GNSS-IR, How to run the gnssrefl software

May 3. Hydrologic Applications: snow accumulation and soil moisture

May 4. Water applications: lakes, rivers, tides

May 5: Site installations: optimizing deployment of geodetic and low-cost sensors

Instructors

Kristine Larson – University of Bonn
Simon Williams – National Oceanography Centre
Tim Dittmann – EarthScope Consortium
Kelly Enloe – EarthScope Consortium
Thomas Nylen – DTU Space
Felipe Nievinski – Federal University of Rio Grande do Sul
David Purnell – Université Laval

This short course is co-sponsored by the Collaborative Research Center 1502 DETECT, University of Bonn

Questions

Please contact communityearthscope.org