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 language | English |
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Journal | Journal of Nuclear Materials Management |
Volume | 46 |
Issue number | 3 |
Pages (from-to) | 48-59 |
ISSN | 0893-6188 |
Publication status | Published - 2018 |