1 September 2017 Potential inundated coastal area estimation in Shanghai with multi-platform SAR and altimetry data
Author Affiliations +
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.
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Guanyu Ma, Guanyu Ma, Tianliang Yang, Tianliang Yang, Qing Zhao, Qing Zhao, Julia Kubanek, Julia Kubanek, Antonio Pepe, Antonio Pepe, Hongbin Dong, Hongbin Dong, Zhibin Sun, Zhibin Sun, } "Potential inundated coastal area estimation in Shanghai with multi-platform SAR and altimetry data", Proc. SPIE 10405, Remote Sensing and Modeling of Ecosystems for Sustainability XIV, 104050V (1 September 2017); doi: 10.1117/12.2272961; https://doi.org/10.1117/12.2272961


Quality assessment of DEM
Proceedings of SPIE (December 17 1996)
Detection of fault creep around NAF by InSAR time series...
Proceedings of SPIE (October 26 2011)
Cross-phase repeat pass inteferometry with ERS SAR
Proceedings of SPIE (December 17 1996)
Millimeter-wave interferometric SAR and polarimetry
Proceedings of SPIE (July 07 1998)
TerraSAR-L system and mission objectives
Proceedings of SPIE (November 04 2004)

Back to Top