Towards big SAR data era: An efficient Sentinel-1 Near-Real-Time InSAR processing workflow with an emphasis on co-registration and phase unwrapping

Sentinel-1 Near-Real-Time (NRT) processing embraces great potential in its applications to a wide range of research topics. Towards higher quality NRT products, it is crucial avoid data reprocessing and dynamically update InSAR time series. Although state-of-the-art techniques, enabled by high-performance computers high-capacity storage platforms, make the highly multi-looked available online quickly, technique procedure for efficiently obtaining relatively high resolution specified region are still lacking. Here we propose workflow review way towards efficient high-resolution processing. In addition, committed addressing issues that often overlooked but indispensable processing: co-registration phase unwrapping. Through this workflow, not only results radar Line-of-Sight (LOS) direction can be obtained, also along-track observations overlap regions images achieved. Unlike deriving LOS series displacements which requires additional operations after co-registration, displacements, by-product directly obtained without further We test validate proposed three with representative geomorphological processes including volcanic activity, city subsidence, landslides. Experimental demonstrate our perform monitoring at low computational “burden”. The efficiency increased ∼ 65% space saved 21.8%.