Recent advances in space-based remote sensing and geodetic techniques have provided a way of studying a variety of deformational environments with sub-centimeter accuracy. GPS networks around the world provide time series of movements with a sampling frequency of up to 1Hz, and sub-millimeter precision. Past and current InSAR missions provide dense, freely available catalogs of data with great spatial coverage and frequent repeat times. It is a good time to be a geodesist!
I am interested in improving the current methods of GPS and InSAR data processing, and in applying both techniques to the study of crustal deformation in California and elsewhere.
Office: Munk 316
9500 Gilman Drive MC 0225
La Jolla, CA, 92093-0225 US
katia.tymofyeyeva AT gmail.com
Version for ROI-PAC • Version for GMTSAR (coming soon!)
We have developed a method for the calculation of noise due to atmospheric, ionospheric, and orbital artifacts directly from the SAR data. We take advantage of dense SAR catalogs to evaluate the propagation delays at every acquisition. Such catalogs will become increasingly available from the current and future InSAR missions, such as Sentinel-1, ALOS-2, and NISAR. Our algorithm exploits the fact that interferograms that share a common scene necessarily contain the same contributions from delays in the radar phase due to propagation effects.
We have taken the radar imagery and topography data from the surface of Venus, collected by the Magellan mission between the years 1990 and 1994, and stitched it together to create an overlay of Google Earth. "Google Venus" comes with a tour, highlighting some of the planet's many interesting features, including volcanoes, lava flows, mountain ranges, and coronae.
Please send me an email or fill out this form if you are interested in collaborating, have questions about anything you have seen on this page, or just want to chat about InSAR!