Remote sensing information collected by the European Commission's Copernicus programme, namely from the Sentinel-1 and Sentinel-2 satellites, bears potential for change detection analysis over nuclear facilities. This module demonstrates some workflows for obtaining, processing and analyzing Sentinel- I and -2 data for change detection analysis for forest.
Freely available remote sensing data offers international safeguards inspectorates the opportunity to perform change detection analysis before or after visiting a facility. Remote sensing data has proven to be valuable to international safeguards inspections for the past 2 decades. Freely available software and datasets are now making such analysis more comfortable for inspectorates. This module illustrates some of the possible ways such datasets can be analyzed using open source platform and open source change detection.
Monitoring changes using Sentinel 1 synthetic aperture radar (SAR) satellite imagery
In this tutorial we will analyze synthetic aperture radar (SAR) imagery in order to detect statistically significant changes on the Earth surface. As the adverb "statistically" hints, we will need a basic understanding of the statistical properties of SAR imagery in order to proceed, and the adjective "significant" implies that we learn the fundamentals of hypothesis testing. In particular we will be concerned with time series of the dual polarimetric intensity Sentinel-1 SAR images in the GEE archive. Please upload the following script into your Google Earth Account.
Monitoring changes using Sentinel 2 satellite imagery
In this tutorial we will analyze Sentinel 2 imagery in order to detect statistically significant changes on the Earth surface. Please upload the following script into your Google Earth Account.