In this work, we investigate the evolution of ground deformation in the Shanghai coastal region, China, over the last decade. We performed a Small BAseline subset DInSAR analysis based on the exploitation of three independent SAR datasets acquired by the ASAR/ENVISAT (ENV), COSMO-SkyMed (CSK), and Sentinel-1A (S1A) sensors, spanning the time frame between 2007 and 2017. More precisely, we used a time-dependent geotechnical centrifuge model of the subsidence signals to combine the available time-gapped CSK and ENV datasets, and hence we produced a long-term CSK, ENV, and S1A displacement time-series. The maximum subsidence rate calculated by the combined long-term ENV+CSK+S1A deformation time-series is about 30 mm/year. The achieved results are beneficial for future studies assessing the environmental risk (e.g., due to flooding) of the population living in the coastal area of Shanghai.

SURFACE DEFORMATION OF THE SHANGHAI COASTAL AREA REVEALED BY A MULTI-SATELLITE DINSAR INVESTIGATION

Pepe Antonio;Reale Diego;
2018

Abstract

In this work, we investigate the evolution of ground deformation in the Shanghai coastal region, China, over the last decade. We performed a Small BAseline subset DInSAR analysis based on the exploitation of three independent SAR datasets acquired by the ASAR/ENVISAT (ENV), COSMO-SkyMed (CSK), and Sentinel-1A (S1A) sensors, spanning the time frame between 2007 and 2017. More precisely, we used a time-dependent geotechnical centrifuge model of the subsidence signals to combine the available time-gapped CSK and ENV datasets, and hence we produced a long-term CSK, ENV, and S1A displacement time-series. The maximum subsidence rate calculated by the combined long-term ENV+CSK+S1A deformation time-series is about 30 mm/year. The achieved results are beneficial for future studies assessing the environmental risk (e.g., due to flooding) of the population living in the coastal area of Shanghai.
2018
Deformation
differential synthetic aperture radar interferometry (DInSAR)
Small BAseline Subset (SBAS) algorithm
multi-platform interferometry
time-series
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/356248
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? 1
social impact