California Institute of Technology

Michael David Starch

Gian Franco Sacco

Paul A Rosen

Frank H Webb

Mark Simons

Eric Jameson Fielding

Zhen Liu

Piyush Shanker Agram

Costin Radulescu

Brian D Wilson

Susan Ethel Owen

Sang Ho Yun

Jennifer W Cruz

Hook Kian Hua

Paul Randall Lundgren

Angelyn W Moore

Timothy M Stough

Gerald John Maramba Manipon

Many embodiments provide a hybrid data processing system (HySDS) of an end-to-end geodetic imaging data system enabling near-real-time science, assessment, response, and rapid recovery. The HySDS may be an operation data processing system that integrates data from many different geodetic data sources and/or sensors, including interferometric synthetic aperture radar (InSAR), GPS, pixel tracking, seismology, and/or modeling, and processes the data to generate actionable high quality science data products. The HySDS may provide for an automated imaging and analysis capabilities that is able to handle the imminent increases in raw data from new and existing geodetic monitoring sensor systems.

Systems and methods for advanced rapid imaging and analysis for earthquakes

Growing community of inventors

Pasadena, CA, United States of America

Michael David Starch