Calendar

This course is designed to introduce learners to modern GMT (Generic Mapping Tools) through command-line scripting, with a practical focus on geophysical applications in seismology and geodesy. Students will learn to work directly in the terminal, using GMT to process, analyze, and visualize real-world geoscience data.This course is ideal for students and researchers seeking to strengthen both their technical GMT skills and their geophysical interpretation abilities.

Cloud Foundations for GeoLab is an asynchronous introductory course designed to help learners get started working productively in EarthScope’s GeoLab cloud computing environment.

The Seismology Skill Building Workshop is a FREE ~70 hour online course to build scientific computing and computational thinking skills while working with seismic data. Participants should expect to invest approximately 5-6 hours per week, including participating in the weekly webinar (or watching the recording).  At the end of the workshop participants receive a performance report certificate and a micro-credential. This certificate describes module content, the number of assignments completed, and the average score for each module.

Facilitated by the EarthScope Consortium, this course is designed to introduce participants to MsPASS, a powerful, modern framework for processing seismology data on desktop, High-Performance Computing (HPC), and cloud systems.

This course covers the theory and application of repeat-pass synthetic aperture radar interferometry (InSAR) using the GMTSAR software package. Participants will learn foundational SAR/InSAR concepts and work hands-on to generate interferograms from test datasets and (optionally) construct time series using Sentinel‑1 data.

This five-day technical course is organized to accommodate participants with varying levels of experience and interests in both static and kinematic GNSS applications. Each day includes dedicated time for one-on-one tutoring using participants’ own data sets. Participants are encouraged to bring prepared data or identify data sets in advance for use during the course. Instruction will combine conceptual presentations, guided demonstrations, and structured hands-on practice. 

This 5-day course covers basic and advanced InSAR theory and hands-on processing of Sentinel-1 and NISAR data using the JPL/Caltech InSAR Scientific Computing Environment (ISCE/ISCE3). Topics include noise mitigation, accessing ARIA and OPERA standard InSAR products and preparing them for time-series analysis, InSAR time-series analysis with MintPy, pixel offset tracking, and basic interpretation and modeling.

This course provides a study of high-precision multi-GNSS precise point positioning (PPP) using the latest version of the open-source software PRIDE PPP-AR. The course covers PPP fundamentals and techniques for undifferenced ambiguity resolution, as well as hands-on experience with the PRIDE PPP-AR software.