Detecting peat extraction related activity with multi-temporal Sentinel-1 InSAR coherence time series

• Interferometric coherence detects peat harvesting related surface altering works. The potential for estimation of extraction intensity demonstrated. Partially extracted areas distinguishable with the standard deviation. Multiple orbits, backscatter or reference polygons and impact rain. Monitoring when, where in which quantity is harvested currently based on manual declarations. Synthetic Aperture Radar (SAR) a powerful tool change detection monitoring. aim this study was to evaluate whether Sentinel-1 6-day interferometric SAR (InSAR) temporal could allow monitoring from satellite. We demonstrate that median enables detect harvest works therefore also spatially explicitly determine active inactive areas. A polygon-based multi-orbit time series approach sufficient task. Hereby, vertical–vertical polarisation (VV) more sensitive changes compared vertical-horizontal (VH). During main season area has VV lower than 0.2 while abandoned open bog serve as undisturbed have close 0.6. Also, milled demonstrated an indication given how partially be distinguished fully not areas, by use Regarding influence rainfall, only heavy rain one acquisitions image pair whereas other dry conditions seems cause decorrelation comparable Moreover, deploying images multiple consecutive orbits introducing ? 0 helps reduce risk induced false positives. Developing operational algorithm identification undertaken future studies.