{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,7]],"date-time":"2025-11-07T09:20:40Z","timestamp":1762507240168,"version":"build-2065373602"},"reference-count":52,"publisher":"MDPI AG","issue":"11","license":[{"start":{"date-parts":[[2017,11,21]],"date-time":"2017-11-21T00:00:00Z","timestamp":1511222400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>In this work, ground deformation of the Shanghai coastal area is inferred by using the multiple-satellite Differential Synthetic Aperture Radar interferometry (DInSAR) approach, also known as the minimum acceleration (MinA) combination algorithm. The MinA technique allows discrimination and time-evolution monitoring of the inherent two-dimensional components (i.e., with respect to east-west and up-down directions) of the ongoing deformation processes. It represents an effective post-processing tool that allows an easy combination of preliminarily-retrieved multiple-satellite Line-Of-Sight-projected displacement time-series, obtained by using one (or more) of the currently available multi-pass DInSAR toolboxes. Specifically, in our work, the well-known small baseline subset (SBAS) algorithm has been exploited to recover LOS deformation time-series from two sets of Synthetic Aperture Radar (SAR) data relevant to the coast of Shanghai, collected from 2014 to 2017 by the COSMO-SkyMed (CSK) and the Sentinel-1A (S1-A) sensors. The achieved results evidence that the Shanghai ocean-reclaimed areas were still subject to residual deformations in 2016, with maximum subsidence rates of about 30 mm\/year. Moreover, the investigation has revealed that the detected deformations are predominantly vertical, whereas the east-west deformations are less significant.<\/jats:p>","DOI":"10.3390\/rs9111194","type":"journal-article","created":{"date-parts":[[2017,11,21]],"date-time":"2017-11-21T11:23:20Z","timestamp":1511263400000},"page":"1194","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":32,"title":["The 2015\u20132016 Ground Displacements of the Shanghai Coastal Area Inferred from a Combined COSMO-SkyMed\/Sentinel-1 DInSAR Analysis"],"prefix":"10.3390","volume":"9","author":[{"given":"Lei","family":"Yu","sequence":"first","affiliation":[{"name":"Key Laboratory of Geographic Information Science, Ministry of Education, East China Normal University, Shanghai 200241, China"},{"name":"Key Laboratory of Land Subsidence Monitoring and Prevention, Ministry of Land and Resources, Shanghai 200072, China"},{"name":"School of Geographic Sciences, East China Normal University, Shanghai 200241, China"},{"name":"Laboratory for Environmental Remote Sensing and Data Assimilation, East China Normal University, Shanghai 200062, China"},{"name":"ECNU-CSU Joint Research Institute for New Energy and the Environment, East China Normal University, Shanghai 200062, China"},{"name":"Chongming ECO Institute, East China Normal University, Shanghai 200241, China"}]},{"given":"Tianliang","family":"Yang","sequence":"additional","affiliation":[{"name":"Key Laboratory of Land Subsidence Monitoring and Prevention, Ministry of Land and Resources, Shanghai 200072, China"},{"name":"Shanghai Engineering Research Center of Land Subsidence, Shanghai 200072, China"},{"name":"Shanghai Institute of Geological Survey, Shanghai 200072, China"}]},{"given":"Qing","family":"Zhao","sequence":"additional","affiliation":[{"name":"Key Laboratory of Geographic Information Science, Ministry of Education, East China Normal University, Shanghai 200241, China"},{"name":"Key Laboratory of Land Subsidence Monitoring and Prevention, Ministry of Land and Resources, Shanghai 200072, China"},{"name":"School of Geographic Sciences, East China Normal University, Shanghai 200241, China"},{"name":"Laboratory for Environmental Remote Sensing and Data Assimilation, East China Normal University, Shanghai 200062, China"},{"name":"ECNU-CSU Joint Research Institute for New Energy and the Environment, East China Normal University, Shanghai 200062, China"},{"name":"Chongming ECO Institute, East China Normal University, Shanghai 200241, China"}]},{"given":"Min","family":"Liu","sequence":"additional","affiliation":[{"name":"Key Laboratory of Geographic Information Science, Ministry of Education, East China Normal University, Shanghai 200241, China"},{"name":"School of Geographic Sciences, East China Normal University, Shanghai 200241, China"},{"name":"Chongming ECO Institute, East China Normal University, Shanghai 200241, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7843-3565","authenticated-orcid":false,"given":"Antonio","family":"Pepe","sequence":"additional","affiliation":[{"name":"Institute for Electromagnetic Sensing of the Environment (IREA), Italian National Research Council, 328Diocleziano, Napoli 80124, Italy"}]}],"member":"1968","published-online":{"date-parts":[[2017,11,21]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"169","DOI":"10.1146\/annurev.earth.28.1.169","article-title":"Synthetic aperture radar interferometry to measure Earth\u2019s surface topography and its deformation","volume":"28","author":"Rosen","year":"2000","journal-title":"Annu. Rev. Earth Planet. Sci."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"441","DOI":"10.1029\/97RG03139","article-title":"Radar interferometry and its application to changes in the Earth\u2019s surface","volume":"36","author":"Massonnet","year":"1998","journal-title":"Rev. Geophys."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"138","DOI":"10.1038\/364138a0","article-title":"The displacement field of the Landers earthquake mapped by radar interferometry","volume":"364","author":"Massonnet","year":"1993","journal-title":"Nature"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"8","DOI":"10.1109\/36.898661","article-title":"Permanent scatterers in SAR interferometry","volume":"39","author":"Ferretti","year":"2001","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_5","unstructured":"Kampes, B.M. (2006). Radar Interferometry: Springer Persistent Scatterer Technique, Springer."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"2375","DOI":"10.1109\/TGRS.2002.803792","article-title":"A new algorithm for surface deformation monitoring based on small baseline differential SAR interferograms","volume":"40","author":"Berardino","year":"2004","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_7","unstructured":"Werner, C., Wegmuller, U., Strozzi, T., and Wiesmann, A. (2003, January 21\u201325). Interferometric Point Target Analysis forDeformation Mapping. Proceedings of the 2003 IEEE Geoscience and Remote Sensing Symposium, Toulouse, France."},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Wright, T.J., Parsons, B.E., and Lu, Z. (2004). Toward mapping surface deformation in three dimensions using InSAR. Geophys. Res. Lett., 31.","DOI":"10.1029\/2003GL018827"},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Gray, L. (2011). Using multiple RADARSAT InSAR pairs to estimate a full three-dimensional solution for glacial ice movement. Geophys. Res. Lett., 38.","DOI":"10.1029\/2010GL046484"},{"key":"ref_10","first-page":"2250","article-title":"Three-dimensional surface motion maps estimated from combined interferometric synthetic aperture radar and GPS data","volume":"107","author":"Gudmundsson","year":"2002","journal-title":"J. Geophys. Res."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"3063","DOI":"10.1029\/2001GL013174","article-title":"The complete (3-D) surface dis-placement field in the epicentral area of the 1999 M(w)7.1 Hector Mine earthquake, California, from space geodetic observations","volume":"28","author":"Fialko","year":"2001","journal-title":"Geophys. Res. Lett."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"295","DOI":"10.1038\/nature03425","article-title":"Three-dimensional deformation caused by the Bam, Iran, earthquake and the origin of shallow slip deficit","volume":"435","author":"Fialko","year":"2005","journal-title":"Nature"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"1029","DOI":"10.1007\/s00190-012-0563-6","article-title":"3D coseismic displacement of 2010 Darfield, New Zealand earthquake estimated from multi-aperture InSAR and D-InSAR measurements","volume":"86","author":"Hu","year":"2012","journal-title":"J. Geod."},{"key":"ref_14","first-page":"53550","article-title":"Inferring three-dimensional surface displacement field by combining SAR interferometric phase and amplitude information of ascending and descending orbits","volume":"53","author":"Jun","year":"2010","journal-title":"Sci. China Earth Sci."},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Solari, L., Ciampalini, A., Raspini, F., Bianchini, S., Zinno, I., Bonano, M., Manunta, M., Moretti, S., and Casagli, N. (2017). Combined use of C-and X-Band SAR data for subsidence monitoring in an urban area. Geosciences, 7.","DOI":"10.3390\/geosciences7020021"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"4226","DOI":"10.1109\/TGRS.2012.2227759","article-title":"Kalman-filter based approach for multisensor, multitrack, and multitemporal InSAR","volume":"51","author":"Hu","year":"2013","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_17","first-page":"1095","article-title":"Multidimensional time-series analysis of ground deformation from multiple InSAR data sets applied to Virunga Volcanic Province","volume":"191","author":"Samsonov","year":"2012","journal-title":"Geophys. J. Int."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"B12407","DOI":"10.1029\/2011JB008489","article-title":"Advanced interferometric synthetic aperture radar (InSAR) time series analysis using interferograms of multiple-orbit tracks: A case study on Miyake-jima","volume":"116","author":"Ozawa","year":"2011","journal-title":"J. Geophys. Res."},{"key":"ref_19","first-page":"3883","article-title":"A Minimum Acceleration Approach for the Retrieval of Multi-Platform InSAR Deformation Time-Series","volume":"9","author":"Pepe","year":"2016","journal-title":"IEEE J. Sel. Appl. Earth Obs."},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Casu, F., and Manconi, A. (2016). Four-dimensional surface evolution of active rifting from spaceborne SAR data. Geosphere, 12.","DOI":"10.1130\/GES01225.1"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"4725","DOI":"10.3390\/s8084725","article-title":"Detecting land subsidence in Shanghai by PS-networking SAR interferometry","volume":"8","author":"Liu","year":"2008","journal-title":"Sensors"},{"key":"ref_22","first-page":"209","article-title":"Monitoring ground subsidence in shanghai maglev area using two kinds of SAR data","volume":"6","author":"Wu","year":"2012","journal-title":"J. Appl. Geod."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"1774","DOI":"10.3390\/rs5041774","article-title":"Deformation Trend Extraction Based on Multi-Temporal InSAR in Shanghai","volume":"5","author":"Chen","year":"2013","journal-title":"Remote Sens."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"677","DOI":"10.1007\/s12665-013-2990-y","article-title":"Time-series analysis of subsidence associated with rapid urbanization in Shanghai, China measured with SBAS InSAR method","volume":"72","author":"Dong","year":"2014","journal-title":"Environ. Earth Sci."},{"key":"ref_25","first-page":"1564","article-title":"Monitoring ground deformation based on small baseline approach in Shanghai","volume":"40","author":"Zhang","year":"2012","journal-title":"J. Tongji Univ."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"117","DOI":"10.1109\/LGRS.2016.2628867","article-title":"Monitoring Ground Subsidence along the Shanghai Maglev Zone Using TerraSAR-X Images","volume":"14","author":"Wu","year":"2017","journal-title":"IEEE Geosci. Remote Sens."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"58","DOI":"10.1016\/j.isprsjprs.2012.07.002","article-title":"Shanghai subway tunnels and highways monitoring through Cosmo-SkyMed Persistent Scatterers","volume":"73","author":"Perissin","year":"2012","journal-title":"ISPRS J. Photogramm."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"9542","DOI":"10.3390\/rs70809542","article-title":"Extracting Vertical Displacement Rates in Shanghai (China) with Multi-Platform SAR Images","volume":"7","author":"Dai","year":"2015","journal-title":"Remote Sens."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"1763","DOI":"10.1109\/JSTARS.2015.2402168","article-title":"A DInSAR Investigation of the Ground Settlement Time Evolution of Ocean-Reclaimed Lands in Shanghai","volume":"8","author":"Zhao","year":"2015","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"950","DOI":"10.1109\/36.175330","article-title":"Decorrelation in interferometric radar echoes","volume":"30","author":"Zebker","year":"1992","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"2752","DOI":"10.1002\/2014JB011271","article-title":"A noise model for InSAR time-series","volume":"120","author":"Agram","year":"2015","journal-title":"J. Geophys. Res. Solid Earth"},{"key":"ref_32","doi-asserted-by":"crossref","unstructured":"Jiang, Y.N., Liao, M.S., Wang, H.M., Zhang, L., and Balz, T. (2016). Deformation Monitoring and Analysis of the Geological Environment of Pudong International Airport with Persistent Scatterer SAR Interferometry. Remote Sens., 8.","DOI":"10.3390\/rs8121021"},{"key":"ref_33","doi-asserted-by":"crossref","unstructured":"Pepe, A., Bonano, M., Zhao, Q., Yang, T., and Wang, H. (2016). The Use of C-\/X-Band Time-Gapped SAR Data and Geotechnical Models for the Study of Shanghai\u2019s Ocean-Reclaimed Lands through the SBAS-DInSAR Technique. Remote Sens., 8.","DOI":"10.20944\/preprints201608.0083.v1"},{"key":"ref_34","first-page":"862","article-title":"Consolidation settlement of Shanghai dredger fill under self-weight using centrifuge modeling test","volume":"39","author":"Yang","year":"2008","journal-title":"J. Cent. South Univ. Technol."},{"key":"ref_35","unstructured":"Taylor, R.N. (1995). Geothecnical Centrifuge Technology, Blackie Academic and Professional."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"44","DOI":"10.1016\/j.enggeo.2010.02.003","article-title":"Land subsidence and pore structure of soils caused by the high-rise building group through centrifuge model test","volume":"113","author":"Cui","year":"2010","journal-title":"Eng. Geol."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"132","DOI":"10.1061\/(ASCE)0733-9453(2008)134:4(132)","article-title":"Horizontal deformation rate analysis based on multiepoch GPS measurements in Shanghai","volume":"134","author":"Cai","year":"2008","journal-title":"J. Surv. Eng."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1016\/j.rse.2011.05.028","article-title":"GMES Sentinel-1 mission","volume":"120","author":"Torres","year":"2012","journal-title":"Remote Sens. Environ."},{"key":"ref_39","first-page":"131","article-title":"Subgrade settlement rules of first runway of Pudong airport in Shanghai","volume":"20","author":"Wang","year":"2012","journal-title":"J. Eng. Geol."},{"key":"ref_40","first-page":"275","article-title":"Foundation bed treatment for high-grade taking-off and landing runway-study on construction proposal for the third runway of Shanghai Pudong international airport building construction","volume":"29","author":"Wang","year":"2007","journal-title":"Build. Constr."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"2352","DOI":"10.1109\/TGRS.2006.873853","article-title":"TOPSAR: Terrain observation by progressive scans","volume":"44","author":"Zan","year":"2006","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_42","unstructured":"(2017, January 01). Small Baseline Subset Algorithm (SBAS). Available online: http:\/\/www.irea.cnr.it."},{"key":"ref_43","unstructured":"(2017, January 01). ENVI\u2019s SARScape Modules from EXELIS VIS Information Solutions. Available online: http:\/\/www.sarmap.ch\/page.php?page=sarscape."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"333","DOI":"10.1109\/5.838084","article-title":"Synthetic aperture radar interferometry","volume":"88","author":"Rosen","year":"2000","journal-title":"Proc. IEEE"},{"key":"ref_45","unstructured":"Strang, G. (1988). Linear Algebra and Its Applications, Harcourt Brace Jovanovich."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"4394","DOI":"10.1109\/TGRS.2015.2396875","article-title":"Improved EMCF-SBAS Processing Chain Based on Advanced Techniques for the Noise-Filtering and Selection of Small Baseline Multi-look DInSAR Interferograms","volume":"53","author":"Pepe","year":"2015","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_47","unstructured":"Franceschetti, G., and Lanari, R. (1999). Synthetic Aperture Radar Processing, CRC Press."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"2752","DOI":"10.1109\/TGRS.2010.2104325","article-title":"Deformation time-series generation in areas characterized by large displacement dynamics: The SAR amplitude Pixel-Offset SBAS technique","volume":"49","author":"Casu","year":"2011","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"4035","DOI":"10.1029\/1998GL900033","article-title":"Radar interferogram filtering for geophysical applications","volume":"25","author":"Goldstein","year":"1998","journal-title":"Geophys. Res. Lett."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"813","DOI":"10.1109\/36.673674","article-title":"A novel phase unwrapping method based on network programming","volume":"36","author":"Costantini","year":"1998","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"2374","DOI":"10.1109\/TGRS.2006.873207","article-title":"On the extension of the minimum cost flow algorithm for phase unwrapping of multi-temporal differential SAR interferograms","volume":"44","author":"Pepe","year":"2006","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_52","unstructured":"Shanghai Institute of Geological Survey (SIGS) (2006). The Geological Hazard Risk Assessment Report of Pudong International Airport (PD4), Shanghai Institute Geologocal Survey."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/9\/11\/1194\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T18:50:39Z","timestamp":1760208639000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/9\/11\/1194"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,11,21]]},"references-count":52,"journal-issue":{"issue":"11","published-online":{"date-parts":[[2017,11]]}},"alternative-id":["rs9111194"],"URL":"https:\/\/doi.org\/10.3390\/rs9111194","relation":{},"ISSN":["2072-4292"],"issn-type":[{"type":"electronic","value":"2072-4292"}],"subject":[],"published":{"date-parts":[[2017,11,21]]}}}