Dates: July 18-22, 2022
Times: 9:00am to 5:00pm MDT
This workshop is designed for intermediate- to advanced-level users of the GNSS processing software suite GAMIT/GLOBK and kinematic module track. The workshop will be divided into three parts to accommodate differing levels of experience, and both static and kinematic applications. Monday’s lectures will be a review of GAMIT and GLOBK commands and file structures, and useful Unix command-line sequences not incorporated into scripts. Tuesday afternoon through Thursday will feature lectures on reference frame realization, error analysis, and efficient processing of both continuous and survey-mode observations. On all four days, there will be time allotted for one-on-one tutoring using participants’ own data sets, which we recommend participants either have already or search for data with which to practice during the course. Friday will focus on kinematic measurements and various examples of applications. Participants interested only in static measurements may wish to remain through Friday for one-on-one tutoring in a parallel session. The course will be taught by a combination of presentations on the concepts to understand and practice times during which participants are expected to work on processing their own data sets, with the instructors available for direct tuition. Some demonstrations will be offered by the instructors based on needs.
This course is intended for those who plan to process raw GNSS data, either for static or kinematic experiments, or for those who would like to understand more about the generation and characteristics of GNSS products. The course is intended to teach the use of the GAMIT/GLOBK software, not the use of GNSS for geophysics in general, so participants can expect to learn how to: set up files and directories to process GNSS data with GAMIT, propagate those results (as well as phase processing results from other software) to GLOBK, plot the resulting time series and velocities, and combine and manipulate time series and velocity files from other sources with utility programs and scripts. The course will benefit anyone (undergraduate and above) who intends to process GNSS data or manipulate GNSS products for their research. GAMIT/GLOBK and track have many uses and types of output, so participants will gain the most from the course by defining their own ultimate goals before attending.
Participants will apply to participate as we expect demand to exceed capacity. Decisions will be made on responses to prompts in the application. Priority will be given to applicants from UNAVCO member institutions, and who need the training to conduct research in the next year. (Check to see if your institution is a member of the UNAVCO consortium.)
Applications are now closed.
|Monday|| – Fundamentals of GNSS geodesy and GAMIT/GLOBK|
– Phase processing with GAMIT
|Tuesday|| – Post-processing with GLOBK|
– Generating time series and velocities
|Wednesday|| – Reference frames and error analysis|
– Time series editing and weighting
|Thursday|| – Processing large GNSS networks|
– Helpful utilities and scripts
|Friday|| – Kinematic processing with track|
– Examples and applications of kinematic processing
Prerequisite, Computers, and Data
GAMIT/GLOBK is licensed software. A valid license for your institution is a prerequisite to acceptance to this course. Please contact the instructors to confirm that your institution has a license or, if not, fill out the request form at: http://geoweb.mit.edu/gg/license.php
Participants must have their own laptops running a Unix-type system (Linux; Mac OS X; or Windows Subsystem for Linux (WSL), Cygwin, or virtual machine software on Windows). Prerequisites for running the software, and therefore attending this course, are listed at: http://geoweb.mit.edu/gg/pre.php
Prerequisites for attending this course are:
- Participants are required to have installed and tested the software, which must be verified by submission of results files before the notification date for acceptance to the course (May 1, 2022); and
- Participants should have or search for a sample data set and set a processing goal for tutoring assistance throughout the week. The two tutors are available for assistance via email prior to the workshop.
- Prof. Thomas Herring (Massachusetts Institute of Technology)
- Dr Michael Floyd (Massachusetts Institute of Technology)
Please contact communityunavco.org