As global warming problem is becoming serious in recent decades, the global sea level is continuously rising. This will
cause damages to the coastal deltas with the characteristics of low-lying land, dense population, and developed economy.
Continuously reclamation costal intertidal and wetland areas are making Shanghai, the mega city of Yangtze River Delta,
more vulnerable to sea level rise. In this paper, we investigate the land subsidence temporal evolution of patterns and
processes on a stretch of muddy coast located between the Yangtze River Estuary and Hangzou Bay with differential
synthetic aperture radar interferometry (DInSAR) analyses. By exploiting a set of 31 SAR images acquired by the
ENVISAT/ASAR from February 2007 to May 2010 and a set of 48 SAR images acquired by the COSMO-SkyMed
(CSK) sensors from December 2013 to March 2016, coherent point targets as long as land subsidence velocity maps and
time series are identified by using the Small Baseline Subset (SBAS) algorithm. With the DInSAR constrained land
subsidence model, we predict the land subsidence trend and the expected cumulative subsidence in 2020, 2025 and 2030.
Meanwhile, we used altimetrydata and densely distributed in the coastal region are identified (EEMD) algorithm to
obtain the average sea level rise rate in the East China Sea. With the land subsidence predictions, sea level rise
predictions, and high-precision digital elevation model (DEM), we analyze the combined risk of land subsidence and sea
level rise on the coastal areas of Shanghai. The potential inundated areas are mapped under different scenarios.