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

Joshua Rutkowski, Morton J. Canty, Allan Aasbjerg Nielsen

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Abstract

At 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.
Original languageEnglish
JournalJournal of Nuclear Materials Management
Volume46
Issue number3
Pages (from-to)48-59
ISSN0893-6188
Publication statusPublished - 2018

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