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.
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
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
Please contact communityearthscope.org