Preprint Article Version 1 NOT YET PEER-REVIEWED

The Joint Use of Multiple Satellite SAR Data and Geotechnical Models for the Study of the Shanghai Ocean-Reclaimed Lands

  1. Institute for Electromagnetic Sensing of the Environment, Italian National Research Council, via Diocleziano 328, 80124 Napoli, Italy
  2. Key Laboratory of Geographical Information Science, Ministry of Education, East China Normal University, Shanghai 200062, China
  3. Joint Laboratory for Environmental Remote Sensing and Data Assimilation, East China Normal University, Shanghai 200062, China
  4. Shanghai Surveying and Mapping Institute, Shanghai 200072, China
  5. Key Laboratory of Land Subsidence Monitoring and Prevention, Ministry of Land and Resources, Shanghai 200072, China
Version 1 : Received: 8 August 2016 / Approved: 8 August 2016 / Online: 8 August 2016 (14:50:19 CEST)

A peer-reviewed article of this Preprint also exists.

Pepe, A.; Bonano, M.; Zhao, Q.; Yang, T.; Wang, H. The Use of C-/X-Band Time-Gapped SAR Data and Geotechnical Models for the Study of Shanghai’s Ocean-Reclaimed Lands through the SBAS-DInSAR Technique. Remote Sens. 2016, 8, 911. Pepe, A.; Bonano, M.; Zhao, Q.; Yang, T.; Wang, H. The Use of C-/X-Band Time-Gapped SAR Data and Geotechnical Models for the Study of Shanghai’s Ocean-Reclaimed Lands through the SBAS-DInSAR Technique. Remote Sens. 2016, 8, 911.

Journal reference: Remote Sens. 2016, 8, 911
DOI: 10.3390/rs8110911

Abstract

This paper is aimed at studying the temporal evolution of the surface displacements occurred over the past few years in the ocean-reclaimed platforms of the Shanghai megacity (China), which are mainly ascribable to consolidation processes of large dredger fills and alluvial deposits. With respect to previous analyses carried out over the same area, this work provides a joint multi-platform differential interferometry synthetic aperture radar (DInSAR) analysis, based on the application of the advanced Small BAseline Subset (SBAS) algorithm. This led us to retrieve long-term deformation time-series that are helpful for a better understanding of the on-going deformation phenomena. To this aim, we have exploited two sequences of SAR data collected by the ASAR/ENVISAT and by the COSMO-SkyMed (CSK) sensors, respectively, spanning the whole time period from 2007 to 2016. Unfortunately, the large time gap (of about three years) existing between the available ASAR/ENVISAT and CSK datasets gave rise to additional difficulties for their combination. Nevertheless, this problem has been faced by benefiting from the knowledge of a time-dependent model describing the temporal evolution of the expected deformations affecting the Shanghai ocean-reclaimed platforms.

Subject Areas

deformation; interferometry; geotechnical models; non‐linear problem; synthetic aperture radar (SAR); time‐series

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