Site Monitoring with Sentinel-1 Dual Polarization SAR Imagery Using Google Earth Engine

Joshua Rutkowski, Morton J. Canty, Allan A. Nielsen

AbstractAt no cost to the user, the Copernicus mission frequently releases Synthetic Aperture Radar (SAR) datasets collected by the Sentinel-1 sensors. These datasets are regularly pre-processed by the Google Earth Engine and made available to the scientific community for further processing and analysis. This paper describes the application of a recently developed sequential change detection algorithm for Sentinel-1 datasets based on an omnibus likelihood ratio test statistic within the Google Earth Engine platform. Change detection methods, such as the one described here, offer the nuclear non-proliferation community a new way to use remote sensing datasets for monitoring nuclear facilities worldwide.
KeywordsRemote sensing, synthetic aperture radar, statistical testing, change detection, cloud computing
TypeJournal paper [With referee]
JournalJournal of Nuclear Materials Management
Year2018    Vol. XLVI    No. 3    pp. 48-59
Electronic version(s)[pdf]
BibTeX data [bibtex]
IMM Group(s)Image Analysis & Computer Graphics