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Journal article

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

From

Jülich Research Centre1

Visual Computing, Department of Applied Mathematics and Computer Science, Technical University of Denmark2

Department of Applied Mathematics and Computer Science, Technical University of Denmark3

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.

Language: English
Year: 2018
Pages: 48-59
ISSN: 23753412 and 08936188
Types: Journal article
ORCIDs: Nielsen, Allan Aasbjerg

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