Change analysis using multitemporal Sentinel-1 SAR images
Résumé
Multitemporal Synthetic Aperture Radar (SAR) images are suitable and useful for analyzing changes on the Earth’s surface
due to the operation in all-time and all weather conditions of SAR system. Change detection methods can be used in a wide
range of applications, such as environmental monitoring, agricultural surveys, urban studies, forest monitoring etc. The ESA
Sentinel-1 European Radar Observatory is the constellation of two C-band radar satellites providing SAR images in single
and dual polarization for different acquisition modes: Strip Map (SM), Interferometric Wide Swath (IW) and Extra Wide
Swath (EW) with a repeat cycle of 12 days (1 satellite) or 6 days (2 satellites). Sentinel data are made available recently and
free of charge to all data users and thus, opening new opportunities and challenges to process new data.
This paper presents a method for analyzing SAR image time series and provides initial change detection results on a time
series of 11 descending IW Level-1 Single Look Complex (SLC) Sentinel-1 SAR images over Chamonix-Mont-Blanc, France.
This method is based on the change detection matrix which identifies the presence of changes in the time series.