{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,15]],"date-time":"2026-04-15T19:52:35Z","timestamp":1776282755731,"version":"3.50.1"},"reference-count":96,"publisher":"MDPI AG","issue":"8","license":[{"start":{"date-parts":[[2019,4,18]],"date-time":"2019-04-18T00:00:00Z","timestamp":1555545600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"NASA Earth and Space Fellowship Program","award":["16-EARTH16F-0086"],"award-info":[{"award-number":["16-EARTH16F-0086"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Velocity dictates the destructive potential of a landslide. A combination of synthetic aperture radar (SAR), optical, and GPS data were used to maximize spatial and temporal coverage to monitor continuously-moving portions of the Portuguese Bend landslide complex on the Palos Verdes Peninsula in Southern California. Forty SAR images from the COSMO-SkyMed satellite, acquired between 19 July 2012 and 27 September 2014, were processed using Persistent Scatterer Interferometry (PSI). Eight optical images from the WorldView-2 satellite, acquired between 20 February 2011 and 16 February 2016, were processed using the Co-registration of Optically Sensed Images and Correlation (COSI-Corr) technique. Displacement measurements were taken at GPS monuments between September 2007 and May 2017. Incremental and average deformations across the landslide complex were measured using all three techniques. Velocity measured within the landslide complex ranges from slow (&gt; 1.6 m\/year) to extremely slow (&lt; 16 mm\/year). COSI-Corr and GPS provide detailed coverage of m\/year-scale deformation while PSI can measure extremely slow deformation rates (mm\/year-scale), which COSI-Corr and GPS cannot do reliably. This case study demonstrates the applicability of SAR, optical, and GPS data synthesis as a complimentary approach to repeat field monitoring and mapping to changes in landslide activity through time.<\/jats:p>","DOI":"10.3390\/rs11080937","type":"journal-article","created":{"date-parts":[[2019,4,18]],"date-time":"2019-04-18T11:58:21Z","timestamp":1555588701000},"page":"937","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":21,"title":["Evidence of Instability in Previously-Mapped Landslides as Measured Using GPS, Optical, and SAR Data between 2007 and 2017: A Case Study in the Portuguese Bend Landslide Complex, California"],"prefix":"10.3390","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4663-3191","authenticated-orcid":false,"given":"El Hachemi","family":"Bouali","sequence":"first","affiliation":[{"name":"Department of Geological and Mining and Engineering Sciences, Michigan Technological University, 1400 Townsend Drive, Houghton, MI 49931, USA"},{"name":"Environmental Science Program, Trinity College, 300 Summit Street, Hartford, CT 06106, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1024-3474","authenticated-orcid":false,"given":"Thomas","family":"Oommen","sequence":"additional","affiliation":[{"name":"Department of Geological and Mining and Engineering Sciences, Michigan Technological University, 1400 Townsend Drive, Houghton, MI 49931, USA"}]},{"given":"R\u00fcdiger","family":"Escobar-Wolf","sequence":"additional","affiliation":[{"name":"Department of Geological and Mining and Engineering Sciences, Michigan Technological University, 1400 Townsend Drive, Houghton, MI 49931, USA"}]}],"member":"1968","published-online":{"date-parts":[[2019,4,18]]},"reference":[{"key":"ref_1","unstructured":"Fukuoka, H. (2007). Dynamics of rapid landslides. Progress of Landslide Science, Springer."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"65","DOI":"10.1016\/S0013-7952(01)00093-X","article-title":"Landslide risk assessment and management: An overview","volume":"64","author":"Dai","year":"2002","journal-title":"Eng. Geol."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"927","DOI":"10.1130\/G33217.1","article-title":"Global patterns of loss of life from landslides","volume":"40","author":"Petley","year":"2012","journal-title":"Geology"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"716","DOI":"10.1177\/0265813515594810","article-title":"County planners\u2019 perceptions of land-use planning tools for environmental hazard mitigation: A survey in the US Pacific states","volume":"43","author":"Ge","year":"2006","journal-title":"Environ. Plan. B"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"45","DOI":"10.1007\/s11069-015-2078-y","article-title":"Compromise not consensus: Designing a participatory process for landslide risk mitigation","volume":"81","author":"Scolobig","year":"2016","journal-title":"Nat. Hazards"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"1749","DOI":"10.1007\/s11069-015-1799-2","article-title":"An integrated artificial neural network model for the landslide susceptibility assessment of Osado Island, Japan","volume":"78","author":"Dou","year":"2015","journal-title":"Nat. Hazards"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1016\/j.geomorph.2007.10.005","article-title":"Susceptibility and triggering scenarios at a regional scale for shallow landslides","volume":"99","author":"Antronico","year":"2008","journal-title":"Geomorphology"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"63","DOI":"10.1016\/S0169-555X(03)00056-4","article-title":"Monitoring landslides from optical remotely sensed imagery: The case history of Tessina landslide, Italy","volume":"54","author":"Barredo","year":"2003","journal-title":"Geomorphology"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"60","DOI":"10.1016\/j.geomorph.2013.06.007","article-title":"Flank instability of Stromboli volcano (Aeolian Islands, Southern Italy): Integration of GB-InSAR and geomorphological observations","volume":"201","author":"Intrieri","year":"2013","journal-title":"Geomorphology"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"124","DOI":"10.1016\/j.enggeo.2012.07.017","article-title":"Design and implementation of a landslide early warning system","volume":"147\u2013148","author":"Intrieri","year":"2012","journal-title":"Eng. Geol."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1007\/s11069-010-9634-2","article-title":"Use of LIDAR in landslide investigations: A review","volume":"61","author":"Jaboyedoff","year":"2012","journal-title":"Nat. Hazards"},{"key":"ref_12","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_13","doi-asserted-by":"crossref","first-page":"331","DOI":"10.1016\/S0169-555X(03)00164-8","article-title":"Objective landslide detection and surface morphology mapping using high-resolution airborne laser altimetry","volume":"57","author":"McKean","year":"2004","journal-title":"Geomorphology"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"284","DOI":"10.1016\/j.rse.2005.08.004","article-title":"Remote sensing of landslides: An analysis of the potential contribution to geo-spatial systems for hazard assessment in mountainous environments","volume":"98","author":"Metternicht","year":"2005","journal-title":"Remote Sens. Environ."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"403","DOI":"10.1007\/s10346-014-0542-5","article-title":"Landslide detection and monitoring capability of boat-based mobile laser scanning along Dieppe coastal cliffs, Normandy","volume":"12","author":"Michoud","year":"2015","journal-title":"Landslides"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"2","DOI":"10.1016\/j.adhoc.2012.09.002","article-title":"Design, development, and deployment of a wireless sensor network for detection of landslides","volume":"13","author":"Ramesh","year":"2014","journal-title":"Ad Hoc Netw."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"743","DOI":"10.1130\/G36678.1","article-title":"Dramatic volcanic instability revealed by InSAR","volume":"43","author":"Schaefer","year":"2015","journal-title":"Geology"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"245","DOI":"10.1007\/s11069-006-9041-x","article-title":"Remote sensed data for automatic detection of land-use changes due to human activity in support to landslide studies","volume":"41","author":"Tarantino","year":"2007","journal-title":"Nat. Hazards"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"65","DOI":"10.1007\/s11069-010-9695-2","article-title":"Geomorphic features extraction from high-resolution topography: Landslide crowns and bank erosion","volume":"61","author":"Tarolli","year":"2012","journal-title":"Nat. Hazards"},{"key":"ref_20","unstructured":"Thai Pham, B., Prakash, I., Dou, J., Singh, S.K., Trong Trinh, P., Trung Tran, H., Minh Le, T., Phong Tran, V., Kim Khoi, D., and Shirzadi, A. (2018). A novel hybrid approach for landslide susceptibility modeling using rotation forest ensemble and different base classifiers. Geocartography Int., 1\u201338."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"1661","DOI":"10.1002\/esp.1636","article-title":"Instability investigation of cantilevered seacliffs","volume":"33","author":"Young","year":"2008","journal-title":"Earth Surf. Process. Landf."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"353","DOI":"10.1007\/s10346-009-0158-3","article-title":"Remote sensing applications to geological problems in Egypt: Case study, slope instability investigation, Sharm El-Sheikh\/Ras-Nasrani Area, Southern Sinai","volume":"6","author":"Youssef","year":"2009","journal-title":"Landslides"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"348","DOI":"10.1016\/j.rse.2012.05.025","article-title":"Large-area landslide detection and monitoring with ALOS\/PALSAR imagery data over Northern California and Southern Oregon, USA","volume":"124","author":"Zhao","year":"2012","journal-title":"Remote Sens. Environ."},{"key":"ref_24","unstructured":"Haydon, W.D. (2007). Landslide Inventory Map of the Palos Verdes Peninsula, Los Angeles County, Geologic Information and Publications."},{"key":"ref_25","unstructured":"McMillan, J.R., and Haydon, W.D. (1998). Earthquake-Induced Landslide Zones in the Torrance 7.5-Minute Quadrangle, Los Angeles County, California."},{"key":"ref_26","unstructured":"McMillan, J.R., and Haydon, W.D. (1998). Earthquake-Induced Landslides Zones in the San Pedro 7.5-Minute Quadrangle, Los Angeles County, California."},{"key":"ref_27","unstructured":"McMillan, J.R., and Haydon, W.D. (1998). Earthquake-Induced Landslide Zones in the Redondo Beach 7.5-Minute Quadrangle, Los Angeles County."},{"key":"ref_28","unstructured":"McGee, M. (2017). Survey Report of the Portuguese Bend Landslide Monitoring Surveys for the City of Rancho Palos Verdes, McGee Surveying Consulting."},{"key":"ref_29","unstructured":"Turner, A.K., and Schuster, R.J. (1996). Chapter 3: Landslide types and processes. Landslides: Investigation and Mitigation, Special Report 247, Transportation Research Board, National Research Council."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"2572","DOI":"10.3390\/rs6032572","article-title":"Robust automated image co-registration of optical multi-sensor time series data: Database generation for multi-temporal landslide detection","volume":"6","author":"Behling","year":"2014","journal-title":"Remote Sens."},{"key":"ref_31","first-page":"92","article-title":"Landslide mapping and monitoring by using radar and optical remote sensing: Examples from the EC-FP7 project SAFER","volume":"4","author":"Casagli","year":"2016","journal-title":"Remote Sens. Soc. Environ."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"137","DOI":"10.1007\/s11069-014-1122-7","article-title":"Mapping and monitoring geological hazards using optical, LiDAR, and synthetic aperture RADAR image data","volume":"73","author":"Joyce","year":"2014","journal-title":"Nat. Hazards"},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"1018","DOI":"10.1080\/19475705.2015.1012750","article-title":"Analysis on causes of flash flood in Jeddah city (Kingdom of Saudi Arabia) of 2009 and 2011 using multi-sensor remote sensing data and GIS","volume":"7","author":"Youssef","year":"2016","journal-title":"Geomat. Nat. Hazards Risk"},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"3681","DOI":"10.3390\/rs5083681","article-title":"Slope stability assessment of the Sarcheshmeh landslide, northeast Iran, investigated using InSAR and GPS observations","volume":"5","author":"Akbarimehr","year":"2013","journal-title":"Remote Sens."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"2947","DOI":"10.1007\/s11069-014-1471-2","article-title":"Monitoring the land subsidence with persistent scatterer interferometry in Nansha District, Guangdong, China","volume":"75","author":"Ao","year":"2015","journal-title":"Nat. Hazards"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"439","DOI":"10.1007\/s10346-017-0882-z","article-title":"Mapping of slow landslides on the Palos Verdes Peninsula using the California landslide inventory and persistent scatterer interferometry","volume":"15","author":"Bouali","year":"2018","journal-title":"Landslides"},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"4083","DOI":"10.1080\/01431161.2013.772310","article-title":"Using C\/X-band SAR interferometry and GNSS measurements for the Assisi landslide analysis","volume":"34","author":"Bovenga","year":"2013","journal-title":"Int. J. Remote Sens."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"208","DOI":"10.2747\/1548-1603.47.2.208","article-title":"Detection of slope instability in Hong Kong based on multi-baseline Differential SAR Interferometry using ALOS PALSAR data","volume":"47","author":"Chen","year":"2010","journal-title":"GISci. Remote Sens."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"923","DOI":"10.5194\/nhess-13-923-2013","article-title":"Interferometric SAR monitoring of the Vallcebre landslide (Spain) using corner reflectors","volume":"13","author":"Crosetto","year":"2013","journal-title":"Nat. Hazards Earth Syst. Sci."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"171","DOI":"10.1007\/s10346-015-0676-0","article-title":"Geometric and kinematic characterization of landslides affecting urban areas: The Lungro case study (Calabria, Southern Italy)","volume":"14","author":"Peduto","year":"2017","journal-title":"Landslides"},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"31","DOI":"10.1016\/j.rse.2012.09.020","article-title":"Multi-sensor advanced DInSAR monitoring of very slow landslides: The Tena Valley case study (Central Spanish Pyrenees)","volume":"128","author":"Herrera","year":"2013","journal-title":"Remote Sens. Environ."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"241","DOI":"10.1007\/s10346-014-0482-0","article-title":"Coupling of GPS\/GNSS and radar interferometric data for a 3D surface displacement monitoring of landslides","volume":"12","author":"Komac","year":"2015","journal-title":"Landslides"},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"2554","DOI":"10.3390\/rs5052554","article-title":"Interpretation of aerial photographs and satellite SAR interferometry for the inventory of landslides","volume":"5","author":"Strozzi","year":"2013","journal-title":"Remote Sens."},{"key":"ref_44","doi-asserted-by":"crossref","unstructured":"Xiao, R., and He, X. (2013). GPS and InSAR time series analysis: Deformation monitoring application in a hydraulic engineering resettlement zone, southwest China. Math. Prob. Eng., 11.","DOI":"10.1155\/2013\/601209"},{"key":"ref_45","first-page":"1","article-title":"A new technique for the detection of large scale landslides in glacio-lacustrine deposits using image correlation based upon aerial imagery: A case study from the French Alps","volume":"52","author":"Fernandez","year":"2016","journal-title":"Int. J. Appl. Earth Obs. Geoinform."},{"key":"ref_46","doi-asserted-by":"crossref","unstructured":"Le Bivic, R., Allemand, P., Quiquerez, A., and Delacourt, C. (2017). Potential and limitation of SPOT-5 ortho-image correlation to investigate the cinematics of landslides: The example of \u201cMare \u00e0 Poule d\u2019Eau\u201d (R\u00e9union, France). Remote Sens., 9.","DOI":"10.3390\/rs9020106"},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"1736","DOI":"10.3390\/rs70201736","article-title":"Time series analysis of landslide dynamics using an unmanned aerial vehicle (UAV)","volume":"7","author":"Turner","year":"2015","journal-title":"Remote Sens."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"1467","DOI":"10.4236\/ijg.2013.410144","article-title":"Monitoring landslide-induced displacements with TerraSAR-X Persistent Scatterer Interferometry (PSI): Gimigliano case study in Calabria Region (Italy)","volume":"4","author":"Bianchini","year":"2013","journal-title":"Int. J. Geosci."},{"key":"ref_49","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_50","first-page":"238","article-title":"Multitemporal landslides inventory map updating using spaceborne SAR analysis","volume":"30","author":"Righini","year":"2014","journal-title":"Int. J. Appl. Earth Obs. Geoinform."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"1310","DOI":"10.3390\/rs4051310","article-title":"A semi-automated object-based approach for landslide detection validated by Persistent Scatterer Interferometry measures and landslide inventories","volume":"4","author":"Antolini","year":"2012","journal-title":"Remote Sens."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"681","DOI":"10.1007\/s11069-015-1740-8","article-title":"Landslide susceptibility modeling assisted by Persistent Scatterer Interferometry (PSI): An example from the northwestern coast of Malta","volume":"78","author":"Piacentini","year":"2015","journal-title":"Nat. Hazards"},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"1045","DOI":"10.3390\/rs5031045","article-title":"Persistent Scatterer Interferometry (PSI) technique for landslide characterization and monitoring","volume":"5","author":"Tofani","year":"2013","journal-title":"Remote Sens."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"L15619","DOI":"10.1029\/2004GL020193","article-title":"Velocity field of the \u201cLa Clapi\u00e8re\u201d landslide measured by the correlation of aerial and QuickBird satellite images","volume":"31","author":"Delacourt","year":"2004","journal-title":"Geophys. Res. Lett."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"73","DOI":"10.1016\/j.enggeo.2014.12.018","article-title":"Use of digital photogrammetry for the study of unstable slopes in urban areas: Case study of the El Biar landslide, Algiers","volume":"187","author":"Laribi","year":"2015","journal-title":"Eng. Geol."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"116","DOI":"10.1016\/j.enggeo.2013.09.008","article-title":"Measuring the in situ deformation of retaining walls by the digital image correlation method","volume":"166","author":"Tung","year":"2013","journal-title":"Eng. Geol."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"2202","DOI":"10.1109\/36.868878","article-title":"Nonlinear subsidence rate estimation using permanent scatterers in differential SAR interferometry","volume":"38","author":"Ferretti","year":"2000","journal-title":"IEEE Trans. Geosci. Remote"},{"key":"ref_58","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"},{"key":"ref_59","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_60","unstructured":"Schuster, R.L., and Krizek, R.J. (1978). Slope movement types and processes. Landslides: Analysis and Control., Special Report 176, Transportation Research Board, National Research Council."},{"key":"ref_61","first-page":"337","article-title":"Preparing a detailed landslide-inventory map for hazard evaluation and reduction","volume":"21","author":"Wieczorek","year":"1984","journal-title":"B Assoc. Eng. Geol."},{"key":"ref_62","unstructured":"Turner, A.K., and Schuster, R.J. (1996). Chapter 9: Surface observation and geologic mapping. Landslides: Investigation and Mitigation, Special Report 247, Transportation Research Board, National Research Council."},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"140","DOI":"10.1086\/626649","article-title":"Portuguese Bend landslide, Palos Verdes Hills, California","volume":"68","author":"Merriam","year":"1960","journal-title":"J. Geol."},{"key":"ref_64","doi-asserted-by":"crossref","unstructured":"Woodring, W.P., Bramlette, M.N., and Kew, W.S.W. (1946). Geology and Paleontology of Palos Verdes Hills.","DOI":"10.3133\/pp207"},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"10","DOI":"10.1029\/2009JF001314","article-title":"An examination of seasonal deformation at the Portuguese Bend landslide, Southern California, using radar interferometry","volume":"115","author":"Calabro","year":"2010","journal-title":"J. Geophys. Res."},{"key":"ref_66","unstructured":"Cooper, J.D. (1982). Dewatering of the Abalone Cove landslide, Rancho Palos Verdes, Los Angeles County, CA. Volume and Guidebook: Landslides and Landslide Abatement, Geological Society of America, Palos Verdes Peninsula, Southern California, Geological Society of America Cordilleran Section."},{"key":"ref_67","doi-asserted-by":"crossref","first-page":"911","DOI":"10.1016\/S0278-4343(01)00111-X","article-title":"Influence of the Portuguese Bend landslide on the character of the effluent-affected sediment deposit, Palos Verdes margin, Southern California","volume":"22","author":"Kayen","year":"2002","journal-title":"Cont. Shelf Res."},{"key":"ref_68","unstructured":"Pipkin, B.W., and Proctor, R.J. (1992). Evolution, mechanics and mitigation of the Portuguese Bend landslide, Palos Verdes Peninsula, CA. Engineering Geology Practice in Southern California, Associations of Engineering Geology. Special Publication No. 4."},{"key":"ref_69","doi-asserted-by":"crossref","unstructured":"Slosson, J.E., Keene, A.G., and Johnson, J.A. (1992). Ground water in the Abalone Cove landslide, Palos Verdes Peninsula, southern California. Landslides\/Landslide Mitigation, Geological Society of America.","DOI":"10.1130\/REG9"},{"key":"ref_70","unstructured":"City of Rancho Palos Verdes (2019, March 07). Landslide Workshop, Available online: http:\/\/www.rpvca.gov\/documentcenter\/view\/5564."},{"key":"ref_71","unstructured":"Osier, V. (2019, March 01). Rancho Palos Verdes Mulling Long-Term Fix for Portuguese Bend Landslide. Available online: https:\/\/www.dailybreeze.com\/2018\/01\/27\/rancho-palos-verdes-mulling-long-term-fix-for-portuguese-bend-landslide\/."},{"key":"ref_72","unstructured":"Los Angeles Regional Imagery Acquisition Consortium (LAR-IAC) (2019, March 01). 10-foot Digital Elevation Model (DEM)\u2013LAR-IAC\u2013Public Domain, Available online: https:\/\/egis3.lacounty.gov\/dataportal\/2011\/01\/26\/2006-10-foot-digital-elevation-model-dem-public-domain\/."},{"key":"ref_73","unstructured":"Leprince, S., Ayoub, F., Lin, J., Avouac, J.-P., Muse, P., and Barbot, S. (2019, March 01). COSI-Corr: Measuring Ground Deformation Using Optical Satellite and Aerial Images. Available online: http:\/\/www.tectonics.caltech.edu\/slip_history\/spot_coseis\/index.html."},{"key":"ref_74","doi-asserted-by":"crossref","first-page":"1529","DOI":"10.1109\/TGRS.2006.888937","article-title":"Automatic, precise, ortho-rectification and co-registration for satellite image correlation: Application to seismotectonics","volume":"45","author":"Leprince","year":"2007","journal-title":"IEEE Trans. Geosci. Remote"},{"key":"ref_75","unstructured":"Ayoub, F., Leprince, S., and Avouac, J. (2019, March 30). User\u2019s Guide to COSI-CORR: Co-Registration of Optically Sensed Images and Correlation. Available online: http:\/\/www.tectonics.caltech.edu\/slip_history\/spot_coseis\/pdf_files\/CosiCorr-Guide2017.pdf."},{"key":"ref_76","doi-asserted-by":"crossref","first-page":"339","DOI":"10.1038\/nature11022","article-title":"Earth-like sand fluxes on Mars","volume":"485","author":"Bridges","year":"2012","journal-title":"Nature"},{"key":"ref_77","doi-asserted-by":"crossref","first-page":"97","DOI":"10.1177\/0309133313515293","article-title":"Mapping landslide displacements using Structure from Motion (SfM) and image correlation of multi-temporal UAV photography","volume":"38","author":"Lucieer","year":"2014","journal-title":"Prog. Phys. Geog."},{"key":"ref_78","doi-asserted-by":"crossref","first-page":"2441","DOI":"10.1016\/j.rse.2009.07.004","article-title":"Monitoring migration rates of an active subarctic dune field using optical imagery","volume":"113","author":"Necsoiu","year":"2009","journal-title":"Remote Sens. Environ."},{"key":"ref_79","doi-asserted-by":"crossref","first-page":"L24404","DOI":"10.1029\/2008GL035921","article-title":"Remotely sensed dune celerity and sand flux measurements of the world\u2019s fastest barchans (Bod\u00e9l\u00e9, Chad)","volume":"35","author":"Vermeesch","year":"2008","journal-title":"Geophys. Res. Lett."},{"key":"ref_80","unstructured":"Leprince, S. (2019, March 30). COSI-Corr\u2013Brief Description of COSI-Corr\u2013Introduction; The COSI-Corr Project Discussion Group. Available online: http:\/\/tecto.gps.caltech.edu\/forum\/viewtopic.php?id=2."},{"key":"ref_81","doi-asserted-by":"crossref","first-page":"20","DOI":"10.1016\/j.enggeo.2017.03.026","article-title":"Using advanced InSAR techniques to monitor landslide deformations induced by tunneling in the Northern Apennines, Italy","volume":"226","author":"Bayer","year":"2017","journal-title":"Eng. Geol."},{"key":"ref_82","doi-asserted-by":"crossref","unstructured":"B\u00e9jar-Pizarro, M., Notti, D., Mateos, R.M., Ezquerro, P., Centolanza, G., Herrera, G., Bru, G., Sanabria, M., Solari, L., and Duro, J. (2017). Mapping vulnerable urban areas affected by slow-moving landslides using Sentinel-1 InSAR data. Remote Sens., 9.","DOI":"10.3390\/rs9090876"},{"key":"ref_83","doi-asserted-by":"crossref","first-page":"3043","DOI":"10.1007\/s00024-014-0839-2","article-title":"Multi-temporal evaluation of landslide movements and impacts on buildings in San Fratello (Italy) by means of C-band and X-band PSI data","volume":"172","author":"Bianchini","year":"2015","journal-title":"Pure Appl. Geophys."},{"key":"ref_84","doi-asserted-by":"crossref","unstructured":"Bianchini, S., Solari, L., and Casagli, N. (2017). A GIS-based procedure for landslide intensity evaluation and specific risk analysis supported by Persistent Scatterers Interferometry (PSI). Remote Sens., 9.","DOI":"10.3390\/rs9111093"},{"key":"ref_85","doi-asserted-by":"crossref","first-page":"1492","DOI":"10.1007\/s12665-016-6308-8","article-title":"A simple method to help determine landslide susceptibility from spaceborne InSAR data: The Montescaglioso case study","volume":"75","author":"Raspini","year":"2016","journal-title":"Environ. Earth Sci."},{"key":"ref_86","doi-asserted-by":"crossref","first-page":"302","DOI":"10.1016\/j.rse.2016.07.018","article-title":"Landslide susceptibility map refinement using PSInSAR data","volume":"184","author":"Ciampalini","year":"2016","journal-title":"Remote Sens. Environ."},{"key":"ref_87","doi-asserted-by":"crossref","first-page":"703","DOI":"10.1007\/s10346-014-0522-9","article-title":"The contribution of PSInSAR interferometry to landslide hazard in weak rock-dominated areas","volume":"12","author":"Oliveira","year":"2015","journal-title":"Landslides"},{"key":"ref_88","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1007\/s10346-017-0861-4","article-title":"The new landslide inventory of Tuscany (Italy) updated with PS-InSAR: Geomorphological features and landslide distribution","volume":"15","author":"Rosi","year":"2018","journal-title":"Landslides"},{"key":"ref_89","doi-asserted-by":"crossref","first-page":"419","DOI":"10.1080\/19475705.2013.866985","article-title":"Landslide inventory updating by means of Persistent Scatterer Interferometry (PSI): The Setta basin (Italy) case study","volume":"6","author":"Sara","year":"2015","journal-title":"Geomat. Nat. Hazards Risk"},{"key":"ref_90","doi-asserted-by":"crossref","first-page":"45","DOI":"10.1016\/j.rse.2014.09.029","article-title":"Slope deformation prior to Zhouqu, China landslide from InSAR time series analysis","volume":"156","author":"Sun","year":"2015","journal-title":"Remote Sens. Environ."},{"key":"ref_91","first-page":"2342","article-title":"Loess Slope Instability Assessment Based on PS-InSAR Detected and Spatial Analysis in Lanzhou Region, China","volume":"1065\u20131069","author":"Xue","year":"2015","journal-title":"Adv. Mat. Res."},{"key":"ref_92","unstructured":"Italian Space Agency (2009). COSMO-SkyMed SAR Products Handbook, Rev. 2, Italian Space Agency."},{"key":"ref_93","unstructured":"Sarmap (2017). SARscape v. 5.2 Software, Sarmap."},{"key":"ref_94","doi-asserted-by":"crossref","first-page":"314","DOI":"10.1016\/j.geomorph.2014.11.031","article-title":"Landslide deformation monitoring with ALOS\/PALSAR imagery: A D-InSAR geomorphological interpretation method","volume":"231","author":"Doubre","year":"2015","journal-title":"Geomorphology"},{"key":"ref_95","unstructured":"National Oceanic and Atmospheric Administration (NOAA) (2019, March 01). Climate at a Glance, Available online: https:\/\/www.ncdc.noaa.gov\/cag\/city\/time-series\/USW00023174\/pcp\/all\/6\/2007-2018?base_prd=true&firstbaseyear=1944&lastbaseyear=2000."},{"key":"ref_96","unstructured":"Cooper, J.D. (1982). The Palos Verdes Peninsula: Its physiography, land use and geologic setting. Volume and Guidebook: Landslides and Landslide Abatement, Geological Society of America, Palos Verdes Peninsula, Southern California, Geological Society of America Cordilleran Section."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/11\/8\/937\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T12:46:23Z","timestamp":1760186783000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/11\/8\/937"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,4,18]]},"references-count":96,"journal-issue":{"issue":"8","published-online":{"date-parts":[[2019,4]]}},"alternative-id":["rs11080937"],"URL":"https:\/\/doi.org\/10.3390\/rs11080937","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,4,18]]}}}