Site Monitoring with Sentinel-1 Dual Polarization SAR Imagery Using Google Earth Engine |
Joshua Rutkowski, Morton J. Canty, Allan A. 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. |
| Keywords | Remote sensing, synthetic aperture radar, statistical testing, change detection, cloud computing |
| Type | Journal paper [With referee] |
| Journal | Journal of Nuclear Materials Management |
| Year | 2018 Vol. XLVI No. 3 pp. 48-59 |
| Electronic version(s) | [pdf] |
| BibTeX data | [bibtex] |
| IMM Group(s) | Image Analysis & Computer Graphics |