The Sumatra GPS Array is a 60-station continuous GPS network designed to measure tectonic deformation along the Sumatra subduction zone. It has recorded a great many earthquakes, and their ensuing postseismic deformation, in the last decade. Our group has been working to unravel the overlapping signals from all these events, search for slow-slip events in the SuGAr data, and study the many moderate to large earthquakes that have been recorded by this network.
The Myanmar-India-Bangladesh-Bhutan network was designed to monitor the broadscale tectonic deformation of South and Southeast Asia. The time series are now getting long enough that in the next year our group will start work on modeling the regional kinematics recorded by this network.
The goal of this project is to mitigate loss of life from natural hazards by producing and disseminating decision-support information for the Southeast Asia region, based on remote sensing data. Simultaneous to this effort, we are innovating techniques for generating this information, by building cutting-edge algorithms for disaster mapping that take advantage of new satellite sensors, machine learning, and other recent developments in data science.
Coral microatolls record relative sea-level changes (and thus land-height changes) and can therefore help us to extend our geodetic measurements back in time. We have been working on modeling the coral data, documenting a 15-year-long slow-slip event and significant changes in the interseismic deformation rates of Sumatra over the last 1000 years.
Many large cities in SE Asia are situated in low-lying coastal areas and are experiencing rapid subsidence as a result of groundwater withdrawal. We are using InSAR to monitor and try to better understand these effects. We are also studying tectonic impacts on relative sea level around the region.
SuMo is a dense campaign and semi-permanent 85-station GPS network designed to better understand the Sumatran Fault.