{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,18]],"date-time":"2026-07-18T16:10:48Z","timestamp":1784391048205,"version":"3.55.0"},"reference-count":97,"publisher":"MDPI AG","issue":"5","license":[{"start":{"date-parts":[[2021,2,26]],"date-time":"2021-02-26T00:00:00Z","timestamp":1614297600000},"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>The growing volume of synthetic aperture radar (SAR) imagery acquired by satellite constellations creates novel opportunities and opens new challenges for interferometric SAR (InSAR) applications to observe Earth\u2019s surface processes and geohazards. In this paper, the Parallel Small BAseline Subset (P-SBAS) advanced InSAR processing chain running on the Geohazards Exploitation Platform (GEP) is trialed to process two unprecedentedly big stacks of Copernicus Sentinel-1 C-band SAR images acquired in 2014\u20132020 over a coastal study area in southern Italy, including 296 and 283 scenes in ascending and descending mode, respectively. Each stack was processed in the GEP in less than 3 days, from input SAR data retrieval via repositories, up to generation of the output P-SBAS datasets of coherent targets and their displacement histories. Use-cases of long-term monitoring of land subsidence at the Capo Colonna promontory (up \u22122.3 cm\/year vertical and \u22121.0 cm\/year east\u2013west rate), slow-moving landslides and erosion landforms, and deformation at modern coastal protection infrastructure in the city of Crotone are used to: (i) showcase the type and precision of deformation products outputting from P-SBAS processing of big data, and the derivable key information to support value-adding and geological interpretation; and (ii) discuss potential and challenges of big data processing using cloud\/grid infrastructure.<\/jats:p>","DOI":"10.3390\/rs13050885","type":"journal-article","created":{"date-parts":[[2021,2,26]],"date-time":"2021-02-26T09:47:20Z","timestamp":1614332840000},"page":"885","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":85,"title":["Sentinel-1 Big Data Processing with P-SBAS InSAR in the Geohazards Exploitation Platform: An Experiment on Coastal Land Subsidence and Landslides in Italy"],"prefix":"10.3390","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8134-1576","authenticated-orcid":false,"given":"Francesca","family":"Cigna","sequence":"first","affiliation":[{"name":"Italian Space Agency (ASI), Via del Politecnico snc, 00133 Rome, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7242-4473","authenticated-orcid":false,"given":"Deodato","family":"Tapete","sequence":"additional","affiliation":[{"name":"Italian Space Agency (ASI), Via del Politecnico snc, 00133 Rome, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2021,2,26]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"9183","DOI":"10.1029\/JB094iB07p09183","article-title":"Mapping small elevation changes over large areas: Differential radar interferometry","volume":"94","author":"Gabriel","year":"1989","journal-title":"J. Geophys. Res."},{"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":"333","DOI":"10.1109\/5.838084","article-title":"Synthetic aperture radar interferometry","volume":"88","author":"Rosen","year":"2000","journal-title":"Proc. IEEE"},{"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","doi-asserted-by":"crossref","first-page":"78","DOI":"10.1016\/j.isprsjprs.2015.10.011","article-title":"Persistent Scatterer Interferometry: A review","volume":"115","author":"Crosetto","year":"2016","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"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":"2002","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"1377","DOI":"10.1109\/TGRS.2004.828196","article-title":"A small-baseline approach for investigating deformations on full-resolution differential SAR interferograms","volume":"42","author":"Lanari","year":"2004","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"64","DOI":"10.1109\/MGRS.2014.2317837","article-title":"ASI COSMO-SkyMed: Mission Overview and Data Exploitation","volume":"2","author":"Virelli","year":"2014","journal-title":"IEEE Geosci. Remote Sens. Mag."},{"key":"ref_9","unstructured":"(2020, March 26). ESA Sentinel-1 Observation Scenario. Available online: https:\/\/sentinel.esa.int\/web\/sentinel\/missions\/sentinel-1\/observation-scenario."},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Gomes, V.C.F., Queiroz, G.R., and Ferreira, K.R. (2020). An overview of platforms for big Earth observation data management and analysis. Remote Sens., 12.","DOI":"10.3390\/rs12081253"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"832","DOI":"10.1080\/17538947.2019.1585976","article-title":"Big Earth data: Disruptive changes in Earth observation data management and analysis?","volume":"13","author":"Sudmanns","year":"2020","journal-title":"Int. J. Digit. Earth"},{"key":"ref_12","unstructured":"(2020, November 01). ESA Copernicus Open Access Hub. Available online: https:\/\/scihub.copernicus.eu\/dhus."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"802","DOI":"10.1109\/JSTARS.2016.2598397","article-title":"A Cloud Computing Solution for the Efficient Implementation of the P-SBAS DInSAR Approach","volume":"10","author":"Zinno","year":"2017","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"172","DOI":"10.3389\/feart.2019.00172","article-title":"OSARIS, the \u201copen source SAR investigation system\u201d for automatized parallel insar processing of Sentinel-1 time series data with special emphasis on cryosphere applications","volume":"7","author":"Loibl","year":"2019","journal-title":"Front. Earth Sci."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"643","DOI":"10.5194\/npg-19-643-2012","article-title":"Semi-automated extraction of Deviation Indexes (DI) from satellite Persistent Scatterers time series: Tests on sedimentary volcanism and tectonically-induced motions","volume":"19","author":"Cigna","year":"2012","journal-title":"Nonlinear Process. Geophys."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"1945","DOI":"10.5194\/nhess-13-1945-2013","article-title":"Automated classification of Persistent Scatterers Interferometry time series","volume":"13","author":"Berti","year":"2013","journal-title":"Nat. Hazards Earth Syst. Sci."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"3081","DOI":"10.1007\/s00024-015-1071-4","article-title":"A User-Oriented Methodology for DInSAR Time Series Analysis and Interpretation: Landslides and Subsidence Case Studies","volume":"172","author":"Notti","year":"2015","journal-title":"Pure Appl. Geophys."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"421","DOI":"10.1109\/TGRS.2015.2459037","article-title":"A Probabilistic Approach for InSAR Time-Series Postprocessing","volume":"54","author":"Chang","year":"2016","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"3285","DOI":"10.1109\/JSTARS.2014.2322671","article-title":"SBAS-DInSAR Parallel Processing for Deformation Time-Series Computation","volume":"7","author":"Casu","year":"2014","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_20","unstructured":"Foumelis, M., Papadopoulou, T., Bally, P., Pacini, F., Provost, F., and Patruno, J. (August, January 28). Monitoring Geohazards Using On-Demand and Systematic Services on ESA\u2019s Geohazards Exploitation Platform. Proceedings of the International Geoscience and Remote Sensing Symposium (IGARSS), Yokohama, Japan."},{"key":"ref_21","unstructured":"Committee on Earth Observation Satellites (CEOS) (2020, November 03). CEOS WG Disasters: Working Group on Disasters. Available online: http:\/\/ceos.org\/ourwork\/workinggroups\/disasters\/."},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Lanari, R., Bonano, M., Casu, F., De Luca, C., Manunta, M., Manzo, M., Onorato, G., and Zinno, I. (2020). Automatic Generation of Sentinel-1 Continental Scale DInSAR Deformation Time Series through an Extended P-SBAS Processing Pipeline in a Cloud Computing Environment. Remote Sens., 12.","DOI":"10.3390\/rs12182961"},{"key":"ref_23","unstructured":"Burnol, A., Foumelis, M., Gourdier, S., Deparis, J., and Raucoules, D. (2020). Tracking and measuring of clay shrinking and swelling using spaceborne remote sensing. EarthArxiv."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.rse.2020.112161","article-title":"Present-day land subsidence rates, surface faulting hazard and risk in Mexico City with 2014\u20132020 Sentinel-1 IW InSAR","volume":"253","author":"Cigna","year":"2021","journal-title":"Remote Sens. Environ."},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Bakon, M., Czikhardt, R., Papco, J., Barlak, J., Rovnak, M., Adamisin, P., and Perissin, D. (2020). remotIO: A Sentinel-1 Multi-Temporal InSAR Infrastructure Monitoring Service with Automatic Updates and Data Mining Capabilities. Remote Sens., 12.","DOI":"10.3390\/rs12111892"},{"key":"ref_26","first-page":"73","article-title":"Tectonics, Deep Seated Gravitational Slope Deformations (DSGSDs) and Large Landslides in the Calabrian Region (Southern Italy)","volume":"1","author":"Guerricchio","year":"2005","journal-title":"G. Geol. Appl."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"189","DOI":"10.1002\/gea.21405","article-title":"Buried and submerged greek archaeological coastal structures and artifacts as gauges to measure late holocene seafloor subsidence off Calabria, Italy","volume":"27","author":"Stanley","year":"2012","journal-title":"Geoarchaeology"},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1038\/s41598-018-26266-y","article-title":"The Crotone Megalandslide, southern Italy: Architecture, timing and tectonic control","volume":"8","author":"Zecchin","year":"2018","journal-title":"Sci. Rep."},{"key":"ref_29","unstructured":"Ministero dello Sviluppo Economico, MISE (2020, September 30). MISE Ricerca e Coltivazione di Idrocarburi, Available online: https:\/\/unmig.mise.gov.it\/index.php\/it\/dati\/ricerca-e-coltivazione-di-idrocarburi."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"442","DOI":"10.1111\/j.1365-3091.2010.01171.x","article-title":"Sequence stratigraphy in the context of rapid regional uplift and high-amplitude glacio-eustatic changes: The Pleistocene Cutro Terrace (Calabria, southern Italy)","volume":"58","author":"Zecchin","year":"2011","journal-title":"Sedimentology"},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"138","DOI":"10.1016\/j.sedgeo.2009.03.004","article-title":"Facies and cycle architecture of a Pleistocene marine terrace (Crotone, southern Italy): A sedimentary response to late Quaternary, high-frequency glacio-eustatic changes","volume":"216","author":"Zecchin","year":"2009","journal-title":"Sediment. Geol."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"4220","DOI":"10.1002\/grl.50818","article-title":"Discovery of a gliding salt-detached megaslide, Calabria, Ionian Sea, Italy","volume":"40","author":"Minelli","year":"2013","journal-title":"Geophys. Res. Lett."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"1201","DOI":"10.1029\/93TC03551","article-title":"Late Neogene kinematics of intra-arc oblique shear zones: The Petilia-Rizzuto Fault Zone (Calabrian Arc, Central Mediterranean)","volume":"13","year":"1994","journal-title":"Tectonics"},{"key":"ref_34","first-page":"353","article-title":"A revision of the stratigraphy and geology of the south-western part of the Crotone Basin (South Italy)","volume":"129","author":"Massari","year":"2010","journal-title":"Ital. J. Geosci."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"165","DOI":"10.1016\/j.sedgeo.2004.08.003","article-title":"Raised Pleistocene marine terraces of the Crotone peninsula (Calabria, southern Italy): Facies analysis and organization of their deposits","volume":"172","author":"Zecchin","year":"2004","journal-title":"Sediment. Geol."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"273","DOI":"10.1016\/j.earscirev.2012.10.005","article-title":"The Plio-Pleistocene evolution of the Crotone Basin (southern Italy): Interplay between sedimentation, tectonics and eustasy in the frame of Calabrian Arc migration","volume":"115","author":"Zecchin","year":"2012","journal-title":"Earth-Sci. Rev."},{"key":"ref_37","first-page":"345","article-title":"Integrated monitoring network for surface deformation in Capo Colonna archaeological area, Crotone, Italy","volume":"339","author":"Verdecchia","year":"2010","journal-title":"IAHS-AISH Publ."},{"key":"ref_38","unstructured":"Basili, R., Barba, S., Burrato, P., Fracassi, U., Kastelic, V., Tiberti, M.M., Vannoli, P., Stramondo, S., Tolomei, C., and Soligo, M. (2010). Project S1: Analysis of the Seismic Potential in Italy for the Evaluation of the Seismic Hazard. Deliverable # 3.01.1 Technical Report Illustrating the Results Obtained in the Crotone Peninsula Based on Geological and InSAR Data, INGV."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"283","DOI":"10.1557\/opl.2012.1397","article-title":"Site-specific analysis of deformation patterns on archaeological heritage by satellite radar interferometry","volume":"1374","author":"Tapete","year":"2012","journal-title":"Mater. Res. Soc. Symp. Proc."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"300","DOI":"10.2110\/jsr.2005.022","article-title":"Relationships between fault-controlled subsidence and preservation of shallow-marine small-scale cycles: Example from the lower Pliocene of the Crotone Basin (southern Italy)","volume":"75","author":"Zecchin","year":"2005","journal-title":"J. Sediment. Res."},{"key":"ref_41","first-page":"8","article-title":"Erosione costiera e monumenti archeologici in Calabria","volume":"1","author":"Lena","year":"2012","journal-title":"Geol. dell\u2019Ambient."},{"key":"ref_42","doi-asserted-by":"crossref","unstructured":"Martinelli, G., Cremonini, S., and Samonati, E. (2012). Geological and Geochemical Setting of Natural Hydrocarbon Emissions in Italy. Advances in Natural Gas Technology, InTech.","DOI":"10.5772\/37446"},{"key":"ref_43","doi-asserted-by":"crossref","unstructured":"Cazzini, F.F. (2018). The History of the Upstream Oil and Gas Industry in Italy, Geological Society of London, Geological Society Special Publication.","DOI":"10.1144\/SP465.2"},{"key":"ref_44","first-page":"379","article-title":"Subsidence monitoring network: An Italian example aimed at a sustainable hydrocarbon E&P activity","volume":"372","author":"Dacome","year":"2015","journal-title":"Proc. Int. Assoc. Hydrol. Sci."},{"key":"ref_45","first-page":"231","article-title":"Implementation of DInSAR methods for the monitoring of the archaeological site of Hera Lacinia in Crotone (Southern Italy)","volume":"41","author":"Confuorto","year":"2016","journal-title":"Rend. Online Soc. Geol. Ital."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"100030Q","DOI":"10.1117\/12.2242095","article-title":"25 years of satellite InSAR monitoring of ground instability and coastal geohazards in the archaeological site of Capo Colonna, Italy","volume":"Volume 10003","author":"Cigna","year":"2016","journal-title":"SAR Image Analysis, Modeling, and Techniques XVI"},{"key":"ref_47","doi-asserted-by":"crossref","unstructured":"Tapete, D., and Cigna, F. (2019). COSMO-SkyMed SAR for detection and monitoring of archaeological and cultural heritage sites. Remote Sens., 11.","DOI":"10.3390\/rs11111326"},{"key":"ref_48","unstructured":"Confuorto, P. (2016). From Site-Scale to Large Areas Monitoring of Ground Deformation Phenomena by Integration of Different DInSAR Techniques in Crotone Province (Southern Italy), University of Naples Federico II."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"375","DOI":"10.4113\/jom.2011.1190","article-title":"Geomorphological map of the Crotone Province (Calabria, South Italy)","volume":"7","author":"Luca","year":"2011","journal-title":"J. Maps"},{"key":"ref_50","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_51","doi-asserted-by":"crossref","first-page":"2352","DOI":"10.1109\/TGRS.2006.873853","article-title":"TOPSAR: Terrain Observation by Progressive Scans","volume":"44","year":"2006","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"3105","DOI":"10.1109\/JSTARS.2018.2848111","article-title":"Persistent Scatterer Analysis Using Dual-Polarization Sentinel-1 Data: Contribution from VH Channel","volume":"11","author":"Shamshiri","year":"2018","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"7033","DOI":"10.1080\/01431161.2019.1597309","article-title":"Investigating the effect of the physical scattering mechanism of the dual-polarization Sentinel-1 data on the temporal coherence optimization results","volume":"40","author":"Azadnejad","year":"2019","journal-title":"Int. J. Remote Sens."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"6259","DOI":"10.1109\/TGRS.2019.2904912","article-title":"The Parallel SBAS Approach for Sentinel-1 Interferometric Wide Swath Deformation Time-Series Generation: Algorithm Description and Products Quality Assessment","volume":"57","author":"Manunta","year":"2019","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"15630","DOI":"10.3390\/rs71115630","article-title":"An On-Demand Web Tool for the Unsupervised Retrieval of Earth\u2019s Surface Deformation from SAR Data: The P-SBAS Service within the ESA G-POD Environment","volume":"7","author":"Cuccu","year":"2015","journal-title":"Remote Sens."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"4675","DOI":"10.1109\/JSTARS.2015.2426054","article-title":"A First Assessment of the P-SBAS DInSAR Algorithm Performances Within a Cloud Computing Environment","volume":"8","author":"Zinno","year":"2015","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"104","DOI":"10.1109\/TCC.2015.2440267","article-title":"Cloud computing for earth surface deformation analysis via spaceborne radar imaging: A case study","volume":"4","author":"Zinno","year":"2016","journal-title":"IEEE Trans. Cloud Comput."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1016\/j.rse.2017.05.022","article-title":"Large areas surface deformation analysis through a cloud computing P-SBAS approach for massive processing of DInSAR time series","volume":"202","author":"Zinno","year":"2017","journal-title":"Remote Sens. Environ."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"558","DOI":"10.1109\/TBDATA.2018.2863558","article-title":"National Scale Surface Deformation Time Series Generation through Advanced DInSAR Processing of Sentinel-1 Data within a Cloud Computing Environment","volume":"6","author":"Zinno","year":"2018","journal-title":"IEEE Trans. Big Data"},{"key":"ref_60","doi-asserted-by":"crossref","unstructured":"Barone, A., Fedi, M., Tizzani, P., and Castaldo, R. (2019). Multiscale Analysis of DInSAR Measurements for Multi-Source Investigation at Uturuncu Volcano (Bolivia). Remote Sens., 11.","DOI":"10.3390\/rs11060703"},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.rse.2020.112254","article-title":"Satellite InSAR survey of structurally-controlled land subsidence due to groundwater exploitation in the Aguascalientes Valley, Mexico","volume":"254","author":"Cigna","year":"2021","journal-title":"Remote Sens. Environ."},{"key":"ref_62","first-page":"146","article-title":"An innovative procedure for monitoring the change in soil seismic response by InSAR data: Application to the Mexico City subsidence","volume":"53","author":"Albano","year":"2016","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"316","DOI":"10.1016\/j.geog.2020.04.001","article-title":"Geostatistical evaluation of spatial variability of land subsidence rates in Lagos, Nigeria","volume":"11","author":"Ikuemonisan","year":"2020","journal-title":"Geod. Geodyn."},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"151","DOI":"10.1016\/j.geog.2019.12.006","article-title":"Characterisation and mapping of land subsidence based on geodetic observations in Lagos, Nigeria","volume":"11","author":"Ikuemonisan","year":"2020","journal-title":"Geod. Geodyn."},{"key":"ref_65","doi-asserted-by":"crossref","unstructured":"Cigna, F., Tapete, D., Gardu\u00f1o-Monroy, V.H., Mu\u00f1iz-Jauregui, J.A., Garc\u00eda-Hern\u00e1ndez, O.H., and Jim\u00e9nez-Haro, A. (2019). Wide-area InSAR survey of surface deformation in urban areas and geothermal fields in the eastern Trans-Mexican Volcanic Belt, Mexico. Remote Sens., 11.","DOI":"10.3390\/rs11202341"},{"key":"ref_66","doi-asserted-by":"crossref","unstructured":"Figueroa-Miranda, S., Hern\u00e1ndez-Madrigal, V.M., Tuxpan-Vargas, J., and Villase\u00f1or-Reyes, C.I. (2020). Evolution assessment of structurally-controlled differential subsidence using SBAS and PS interferometry in an emblematic case of central Mexico. Eng. Geol., 105860.","DOI":"10.1016\/j.enggeo.2020.105860"},{"key":"ref_67","first-page":"1","article-title":"Sentinel optical and SAR data highlights multi-segment faulting during the 2018 Palu-Sulawesi earthquake (Mw 7.5)","volume":"10","author":"Bacques","year":"2020","journal-title":"Sci. Rep."},{"key":"ref_68","doi-asserted-by":"crossref","unstructured":"Galve, J.P., P\u00e9rez-Pe\u00f1a, J.V., Aza\u00f1\u00f3n, J.M., Closson, D., Cal\u00f3, F., Reyes-Carmona, C., Jabaloy, A., Ruano, P., Mateos, R.M., and Notti, D. (2017). Evaluation of the SBAS InSAR service of the European space Agency\u2019s Geohazard Exploitation Platform (GEP). Remote Sens., 9.","DOI":"10.3390\/rs9121291"},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1038\/s41598-018-31841-4","article-title":"Multiridge Method for Studying Ground-Deformation Sources: Application to Volcanic Environments","volume":"8","author":"Castaldo","year":"2018","journal-title":"Sci. Rep."},{"key":"ref_70","doi-asserted-by":"crossref","unstructured":"Pepe, S., D\u2019Auria, L., Castaldo, R., Casu, F., De Luca, C., De Novellis, V., Sansosti, E., Solaro, G., and Tizzani, P. (2018). The use of massive deformation datasets for the analysis of spatial and temporal evolution of Mauna Loa Volcano (Hawai\u2019i). Remote Sens., 10.","DOI":"10.3390\/rs10060968"},{"key":"ref_71","doi-asserted-by":"crossref","first-page":"246","DOI":"10.1016\/j.jvolgeores.2017.05.013","article-title":"Source modelling of the 2015 Wolf volcano (Gal\u00e1pagos) eruption inferred from Sentinel 1-A DInSAR deformation maps and pre-eruptive ENVISAT time series","volume":"344","author":"Castaldo","year":"2017","journal-title":"J. Volcanol. Geotherm. Res."},{"key":"ref_72","doi-asserted-by":"crossref","unstructured":"Cignetti, M., Manconi, A., Manunta, M., Giordan, D., De Luca, C., Allasia, P., and Ardizzone, F. (2016). Taking advantage of the ESA G-POD service to study ground deformation processes in high mountain areas: A Valle d\u2019Aosta case study, Northern Italy. Remote Sens., 8.","DOI":"10.3390\/rs8100852"},{"key":"ref_73","doi-asserted-by":"crossref","first-page":"1002","DOI":"10.1109\/LGRS.2017.2691398","article-title":"Coregistration of Interferometric Stacks of Sentinel-1 TOPS Data","volume":"14","year":"2017","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_74","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_75","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_76","doi-asserted-by":"crossref","first-page":"609","DOI":"10.1080\/2150704X.2013.771826","article-title":"A simple solution to mitigate noise effects in time-redundant sequences of small baseline multi-look DInSAR interferograms","volume":"4","author":"Yang","year":"2013","journal-title":"Remote Sens. Lett."},{"key":"ref_77","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_78","doi-asserted-by":"crossref","unstructured":"Pepe, A., and Cal\u00f2, F. (2017). A review of interferometric synthetic aperture RADAR (InSAR) multi-track approaches for the retrieval of Earth\u2019s Surface displacements. Appl. Sci., 7.","DOI":"10.3390\/app7121264"},{"key":"ref_79","doi-asserted-by":"crossref","unstructured":"Aslan, G., Cakir, Z., Lasserre, C., and Renard, F. (2019). Investigating subsidence in the Bursa Plain, Turkey, using ascending and descending Sentinel-1 satellite data. Remote Sens., 11.","DOI":"10.3390\/rs11010085"},{"key":"ref_80","doi-asserted-by":"crossref","unstructured":"Murgia, F., Bignami, C., Brunori, C.A., Tolomei, C., and Pizzimenti, L. (2019). Ground deformations controlled by hidden faults: Multi-frequency and multitemporal insar techniques for urban hazard monitoring. Remote Sens., 11.","DOI":"10.3390\/rs11192246"},{"key":"ref_81","doi-asserted-by":"crossref","unstructured":"Fuhrmann, T., and Garthwaite, M.C. (2019). Resolving three-dimensional surface motion with InSAR: Constraints from multi-geometry data fusion. Remote Sens., 11.","DOI":"10.3390\/rs11030241"},{"key":"ref_82","doi-asserted-by":"crossref","first-page":"3883","DOI":"10.1109\/JSTARS.2016.2577878","article-title":"A Minimum Acceleration Approach for the Retrieval of Multiplatform InSAR Deformation Time Series","volume":"9","author":"Pepe","year":"2016","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_83","doi-asserted-by":"crossref","first-page":"29","DOI":"10.1016\/j.enggeo.2010.01.003","article-title":"Advanced low- and full-resolution DInSAR map generation for slow-moving landslide analysis at different scales","volume":"112","author":"Cascini","year":"2010","journal-title":"Eng. Geol."},{"key":"ref_84","doi-asserted-by":"crossref","first-page":"267","DOI":"10.1007\/s10346-012-0335-7","article-title":"How to assess landslide activity and intensity with Persistent Scatterer Interferometry (PSI): The PSI-based matrix approach","volume":"10","author":"Cigna","year":"2013","journal-title":"Landslides"},{"key":"ref_85","unstructured":"(2020, November 22). Coastal Zones\u2014Copernicus Land Monitoring Service. Available online: https:\/\/land.copernicus.eu\/local\/coastal-zones."},{"key":"ref_86","unstructured":"(2020, November 03). Autorit\u00e0 di Bacino della Regione Calabria\u2014PAI 2016. Available online: http:\/\/old.regione.calabria.it\/abr\/index.php?option=com_content&task=view&id=504&Itemid=1."},{"key":"ref_87","doi-asserted-by":"crossref","first-page":"1147","DOI":"10.1007\/s00190-012-0571-6","article-title":"Reliable estimation of orbit errors in spaceborne SAR interferometry: The network approach","volume":"86","author":"Hanssen","year":"2012","journal-title":"J. Geod."},{"key":"ref_88","doi-asserted-by":"crossref","first-page":"514","DOI":"10.1080\/17445647.2012.743440","article-title":"Multi-temporal mapping of land subsidence at basin scale exploiting persistent scatterer interferometry: Case study of Gioia Tauro plain (Italy)","volume":"8","author":"Raspini","year":"2012","journal-title":"J. Maps"},{"key":"ref_89","doi-asserted-by":"crossref","first-page":"979","DOI":"10.1080\/2150704X.2013.823673","article-title":"DInSAR estimation of land motion using intermittent coherence with application to the South Derbyshire and Leicestershire coalfields","volume":"4","author":"Sowter","year":"2013","journal-title":"Remote Sens. Lett."},{"key":"ref_90","doi-asserted-by":"crossref","first-page":"177","DOI":"10.1016\/j.rse.2017.05.016","article-title":"The relationship between intermittent coherence and precision of ISBAS InSAR ground motion velocities: ERS-1\/2 case studies in the UK","volume":"202","author":"Cigna","year":"2017","journal-title":"Remote Sens. Environ."},{"key":"ref_91","doi-asserted-by":"crossref","first-page":"1155","DOI":"10.1007\/s12665-012-1559-5","article-title":"Landslide HotSpot Mapping by means of Persistent Scatterer Interferometry","volume":"67","author":"Bianchini","year":"2012","journal-title":"Environ. Earth Sci."},{"key":"ref_92","unstructured":"Turner, A.K., and Schuster, R.L. (1996). Landslide types and processes. Landslides: Investigation and Mitigation, Sp. Rep. 24, Transportation Research Board."},{"key":"ref_93","doi-asserted-by":"crossref","unstructured":"Blewitt, G., Hammond, W., and Kreemer, C. (2018). Harnessing the GPS Data Explosion for Interdisciplinary Science. Eos, 99.","DOI":"10.1029\/2018EO104623"},{"key":"ref_94","doi-asserted-by":"crossref","first-page":"466","DOI":"10.1080\/01431161.2010.536185","article-title":"Persistent scatterers interferometry hotspot and cluster analysis (PSI-HCA) for detection of extremely slow-moving landslides","volume":"33","author":"Lu","year":"2012","journal-title":"Int. J. Remote Sens."},{"key":"ref_95","doi-asserted-by":"crossref","first-page":"693","DOI":"10.1007\/978-3-642-39643-4_50","article-title":"Testing computational methods to identify deformation trends in RADARSAT persistent scatterers time series for structural assessment of archaeological heritage","volume":"Volume 7972","author":"Tapete","year":"2013","journal-title":"Lecture Notes in Computer Science"},{"key":"ref_96","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1038\/s41598-018-25369-w","article-title":"Continuous, semi-automatic monitoring of ground deformation using Sentinel-1 satellites","volume":"8","author":"Raspini","year":"2018","journal-title":"Sci. Rep."},{"key":"ref_97","doi-asserted-by":"crossref","first-page":"5637","DOI":"10.1109\/TGRS.2017.2711037","article-title":"Sequential Estimator: Toward Efficient InSAR Time Series Analysis","volume":"55","author":"Ansari","year":"2017","journal-title":"IEEE Trans. Geosci. Remote Sens."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/13\/5\/885\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T05:29:23Z","timestamp":1760160563000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/13\/5\/885"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,2,26]]},"references-count":97,"journal-issue":{"issue":"5","published-online":{"date-parts":[[2021,3]]}},"alternative-id":["rs13050885"],"URL":"https:\/\/doi.org\/10.3390\/rs13050885","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,2,26]]}}}