Routine Processing and Automatic Detection of Volcanic Ground Deformation Using Sentinel-1 InSAR Data: Insights from African Volcanoes

Since the launch of Sentinel-1 mission, automated processing systems have been developed for near real-time monitoring ground deformation signals. Here, we perform a regional analysis 5 years over 64 volcanic centres located along East African Rift System (EARS). We show that correction atmospheric signals arid and low-elevation EARS volcanoes is less important than other environments. find amplitude cumulative displacements exceeds three times temporal noise time series (3?) 16 volcanoes, which includes previously reported signals, two new ones at Paka Silali volcanoes. From 5-year series, uncertainties in rates are ?0.1 cm/yr, whereas associated with choice reference pixel typically 0.3–0.6 cm/yr. fit using simple functional forms classify seven volcano as ‘linear’, six ‘sigmoidal’ ‘hybrid’, enabling us to discriminate between steady short-term pulses deformation. This study provides framework routine InSAR on continental scale. focus data from EARS, but could be expanded include satellite or global coverage.