National Scale Surface Deformation Time Series Generation through Advanced DInSAR Processing of Sentinel-1 Data within a Cloud Computing Environment

@article{Zinno2020NationalSS,
  title={National Scale Surface Deformation Time Series Generation through Advanced DInSAR Processing of Sentinel-1 Data within a Cloud Computing Environment},
  author={Ivana Zinno and Manuela Bonano and Sabatino Buonanno and Francesco Casu and Claudio De Luca and Michele Manunta and Mariarosaria Manzo and Riccardo Lanari},
  journal={IEEE Transactions on Big Data},
  year={2020},
  volume={6},
  pages={558-571}
}
We present an automatic pipeline implemented within the Amazon Web Services (AWS) Cloud Computing platform for the interferometric processing of large Sentinel-1 (S1) multi-temporal SAR datasets, aimed at analyzing Earth surface deformation phenomena at wide spatial scale. The developed processing chain is based on the advanced DInSAR approach referred to as Small BAseline Subset (SBAS) technique, which allows producing, with centimeter to millimeter accuracy, surface deformation time series… 

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