{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,6]],"date-time":"2026-07-06T09:36:04Z","timestamp":1783330564224,"version":"3.54.6"},"reference-count":70,"publisher":"MDPI AG","issue":"7","license":[{"start":{"date-parts":[[2018,6,22]],"date-time":"2018-06-22T00:00:00Z","timestamp":1529625600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["41731066, 41628401, 41504005"],"award-info":[{"award-number":["41731066, 41628401, 41504005"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"the Ministry of Land &amp; Resources (China) projects","award":["DD20160268"],"award-info":[{"award-number":["DD20160268"]}]},{"name":"the Fundamental Research Foundation of the Central Universities, Grant\/Award Numbers","award":["300102268704"],"award-info":[{"award-number":["300102268704"]}]},{"DOI":"10.13039\/501100013314","name":"111 project","doi-asserted-by":"publisher","award":["B18046"],"award-info":[{"award-number":["B18046"]}],"id":[{"id":"10.13039\/501100013314","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Landslide identification and monitoring are two significant research aspects for landslide analysis. In addition, landslide mode deduction is key for the prevention of landslide hazards. Surface deformation results with different scales can serve for different landslide analysis. L-band synthetic aperture radar (SAR) data calculated with Interferometric Point Target Analysis (IPTA) are first employed to detect potential landslides at the catchment-scale Wudongde reservoir area. Twenty-two active landslides are identified and mapped over more than 2500 square kilometers. Then, for one typical landslide, Jinpingzi landslide, its spatiotemporal deformation characteristics are analyzed with the small baseline subsets (SBAS) interferometric synthetic aperture radar (InSAR) technique. High-precision surface deformation results are obtained by comparing with in-situ georobot measurements. The spatial deformation pattern reveals the different stabilities among five different sections of Jinpingzi landslide. InSAR results for Section II of Jinpingzi landslide show that this active landslide is controlled by two boundaries and geological structure, and its different landslide deformation magnitudes at different sections on the surface companying with borehole deformation reveals the pull-type landslide mode. Correlation between time series landslide motion and monthly precipitation, soil moisture inverted from SAR intensity images and water level fluctuations suggests that heavy rainfall is the main trigger factor, and the maximum deformation of the landslide was highly consistent with the peak precipitation with a time lag of about 1 to 2 months, which gives us important guidelines to mitigate and prevent this kind of hazard.<\/jats:p>","DOI":"10.3390\/rs10070993","type":"journal-article","created":{"date-parts":[[2018,6,22]],"date-time":"2018-06-22T10:56:28Z","timestamp":1529664988000},"page":"993","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":143,"title":["Landslide Identification and Monitoring along the Jinsha River Catchment (Wudongde Reservoir Area), China, Using the InSAR Method"],"prefix":"10.3390","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5730-9602","authenticated-orcid":false,"given":"Chaoying","family":"Zhao","sequence":"first","affiliation":[{"name":"School of Geology Engineering and Geomatics, Chang\u2019an University, Xi\u2019an 710054, China"},{"name":"National Administration of Surveying, Mapping and Geoinformation, Engineering Research Center of National Geographic Conditions Monitoring, Xi\u2019an 710054, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ya","family":"Kang","sequence":"additional","affiliation":[{"name":"School of Geology Engineering and Geomatics, Chang\u2019an University, Xi\u2019an 710054, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qin","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Geology Engineering and Geomatics, Chang\u2019an University, Xi\u2019an 710054, China"},{"name":"National Administration of Surveying, Mapping and Geoinformation, Engineering Research Center of National Geographic Conditions Monitoring, Xi\u2019an 710054, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9181-1818","authenticated-orcid":false,"given":"Zhong","family":"Lu","sequence":"additional","affiliation":[{"name":"Roy M. Huffington Department of Earth Sciences, Southern Methodist University, Dallas, TX 75275, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bin","family":"Li","sequence":"additional","affiliation":[{"name":"Institute of Geomechanics, Chinese Academy of Geological Sciences, Beijing 100081, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2018,6,22]]},"reference":[{"key":"ref_1","first-page":"253","article-title":"Using advanced InSAR time series techniques to monitor landslide movements in Badong of the Three Gorges region, China","volume":"21","author":"Liu","year":"2013","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"395","DOI":"10.1007\/s10346-012-0331-y","article-title":"Analysis of waves generated by Gongjiafang landslide in Wu Gorge, three Gorges reservoir, on November 23, 2008","volume":"9","author":"Huang","year":"2012","journal-title":"Landslides"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"451","DOI":"10.1007\/s10346-015-0583-4","article-title":"Large slope deformations detection and monitoring along shores of the potrerillos dam reservoir, Argentina, based on a small-baseline InSAR approach","volume":"13","author":"Michoud","year":"2016","journal-title":"Landslides"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"85","DOI":"10.1016\/j.enggeo.2008.03.022","article-title":"Guidelines for landslide susceptibility, hazard and risk zoning for land use planning","volume":"102","author":"Fell","year":"2008","journal-title":"Eng. Geol."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"42","DOI":"10.1016\/j.earscirev.2012.02.001","article-title":"Landslide inventory maps: New tools for an old problem","volume":"112","author":"Guzzetti","year":"2012","journal-title":"Earth-Sci. Rev."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"13","DOI":"10.1016\/j.tecto.2013.04.028","article-title":"Deep seated gravitational slope deformations in the European Alps","volume":"605","author":"Crosta","year":"2013","journal-title":"Tectonophysics"},{"key":"ref_7","unstructured":"Ding, X., Montgomery, S.B., Tsakiri, M., Swindells, C.F., and Jewell, R.J. (1998). Integrated Monitoring Systems for Open Pit Wall Deformation, Australian Centre for Geomechanics. Meriwa Report No. 186."},{"key":"ref_8","unstructured":"Szwedzicki, T. (1993). Identification of a slope failure over a year before final collapse using multiple monitoring methods. Geotechnical Instrumentation and Monitoring in Open Pit and Underground Mining, AA Balkema."},{"key":"ref_9","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_10","doi-asserted-by":"crossref","unstructured":"Bulmer, M.H., Petley, D.N., Murphy, W., and Mantovani, F. (2006). Detecting slope deformation using two-pass differential interferometry: Implications for landslide studies on Earth and other planetary bodies. J. Geophys. Res. Planets, 111.","DOI":"10.1029\/2005JE002593"},{"key":"ref_11","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_12","doi-asserted-by":"crossref","first-page":"200","DOI":"10.1016\/j.enggeo.2006.09.007","article-title":"Permanent scatterers for landslide investigations: Outcomes from the ERS-SLAM project","volume":"88","author":"Farina","year":"2006","journal-title":"Eng. Geol."},{"key":"ref_13","unstructured":"Pierson, T., and Lu, Z. (2009, January 18\u201321). InSAR detection of renewed movement of a large ancient landslide in the Columbia River Gorge, Washington. Proceedings of the Geological Society of America 2009 Annual Meeting, Portland, OR, USA."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"49","DOI":"10.1016\/j.rse.2016.10.006","article-title":"Detecting seasonal landslide movement within the cascade landslide complex (Washington) using time-series SAR imagery","volume":"187","author":"Hu","year":"2016","journal-title":"Remote Sens. Environ."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"123","DOI":"10.1007\/s10346-017-0915-7","article-title":"The Maoxian landslide as seen from space: Detecting precursors of failure with sentinel-1 data","volume":"15","author":"Intrieri","year":"2017","journal-title":"Landslides"},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Kang, Y., Zhao, C.Y., Zhang, Q., Lu, Z., and Li, B. (2017). Application of InSAR techniques to an analysis of the Guanling landslide. Remote Sens., 9.","DOI":"10.3390\/rs9101046"},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Calabro, M.D., Schmidt, D.A., and Roering, J.J. (2010). An examination of seasonal deformation at the Portuguese Bend landslide, southern California, using radar interferometry. J. Geophys. Res. Earth Surface, 115.","DOI":"10.1029\/2009JF001314"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"119","DOI":"10.1016\/j.geomorph.2004.08.012","article-title":"On the application of SAR interferometry to geomorphological studies: Estimation of landform attributes and mass movements","volume":"66","author":"Catani","year":"2005","journal-title":"Geomorphology"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"193","DOI":"10.1007\/s10346-005-0003-2","article-title":"Survey and monitoring of landslide displacements by means of L-band satellite SAR interferometry","volume":"2","author":"Strozzi","year":"2005","journal-title":"Landslides"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"31","DOI":"10.1016\/S0013-7952(02)00197-7","article-title":"Use of differential SAR interferometry in monitoring and modeling large slope instability at Matera (Basilicata, Italy)","volume":"68","author":"Berardino","year":"2003","journal-title":"Eng. Geol."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"430","DOI":"10.1016\/j.asr.2013.12.003","article-title":"Landslide monitoring by combining of CR-InSAR and GPS techniques","volume":"53","author":"Zhu","year":"2014","journal-title":"Adv. Space Res."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"1167","DOI":"10.14358\/PERS.70.10.1167","article-title":"Landslide monitoring in the Three Gorges area using D-INSAR and corner reflectors","volume":"70","author":"Xia","year":"2004","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_23","first-page":"B07407","article-title":"Persistent scatterer InSAR for crustal deformation analysis, with application to Volca\u2019nAlcedo, Gala\u2019pagos","volume":"112","author":"Hooper","year":"2007","journal-title":"J. Geophys. Solid Earth."},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Hooper, A., Zebker, H., Segall, P., and Kampes, B. (2004). A new method for measuring deformation on volcanoes and other natural terrains using InSAR persistent scatterers. Geophys. Res. Lett., 31.","DOI":"10.1029\/2004GL021737"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"3460","DOI":"10.1109\/TGRS.2011.2124465","article-title":"A new algorithm for processing interferometric data-stacks: SqueeSAR","volume":"49","author":"Ferretti","year":"2011","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"745","DOI":"10.1109\/TGRS.2003.808902","article-title":"Temporal analysis of a landslide by means of a ground-based SAR interferometer","volume":"41","author":"Leva","year":"2003","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_27","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_28","doi-asserted-by":"crossref","first-page":"1083","DOI":"10.1016\/j.cageo.2011.01.007","article-title":"A simultaneous inversion for deformation rates and topographic errors of DInSAR data utilizing linear least square inversion technique","volume":"37","author":"Samsonov","year":"2011","journal-title":"Comput. Geosci."},{"key":"ref_29","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_30","unstructured":"Werner, C., Wegmuller, U., Strozzi, T., and Wiesmann, A. (2003, January 21\u201325). Interferometric point target analysis for deformation mapping. Proceedings of the IGARSS 2003, Toulouse, France."},{"key":"ref_31","doi-asserted-by":"crossref","unstructured":"Furuya, M., Mueller, K., and Wahr, J. (2007). Active salt tectonics in the Needles District, Canyonlands (Utah) as detected by interferometric synthetic aperture radar and point target analysis: 1992\u20132002. J. Geophys. Res. Solid Earth.","DOI":"10.1029\/2006JB004302"},{"key":"ref_32","first-page":"1312","article-title":"Mexico city subsidence measured by InSAR time series: Joint analysis using PS and SBAS approaches","volume":"5","author":"Yan","year":"2012","journal-title":"IEEE. J-STARS"},{"key":"ref_33","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_34","doi-asserted-by":"crossref","unstructured":"Scaioni, M. (2015). Monitoring landslide activities in the three gorges area with multi-frequency satellite SAR data sets. Modern Technologies for Landslide Monitoring and Prediction, Springer.","DOI":"10.1007\/978-3-662-45931-7"},{"key":"ref_35","unstructured":"Wang, L.W. (2014). Identification of Landslide Displacement in Alpine Valley Region Based on D-InSAR Data Analysis. [Ph.D. Thesis, University of Science and Technology Beijing]."},{"key":"ref_36","unstructured":"Wu, J.M. (2009). The Disciplinarian on the Development and Distributing of Geo-disaster & Stability Evaluation of the Bank Slope in Wudongde Reservoir Area of the Jinsha River. [Master\u2019s Thesis, Chengdu University of Technology]."},{"key":"ref_37","unstructured":"Zhang, W. (2013). Research of Evaluation Methods for Rock Mass Structures in the Wudongde Hydropower Reservoir Region. [Ph.D. Thesis, Jilin University]."},{"key":"ref_38","unstructured":"Hu, Q.F. (2014). Study on Landslide Hazards Risk of Wudongde Bank. [Master\u2019s Thesis, Changjiang River Scientific Research Institute]."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"217","DOI":"10.1080\/19479832.2010.499219","article-title":"Radar image and data fusion for natural hazards characterization","volume":"1","author":"Lu","year":"2010","journal-title":"Int. J. Image Data Fusion."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"2851","DOI":"10.5194\/nhess-13-2851-2013","article-title":"Pre-, co-, and post-rockslide analysis with ALOS\/PALSAR imagery: A case study of the Jiweishan rockslide, China","volume":"13","author":"Zhao","year":"2013","journal-title":"Nat. Hazard. Earth Syst. Sci."},{"key":"ref_41","doi-asserted-by":"crossref","unstructured":"Zhao, C.Y., Zhang, Q., He, Y., Peng, J.B., Yang, C.S., and Kang, Y. (2016). Small-scale loess landslide monitoring with small baseline subsets interferometric synthetic aperture radar technique\u2014Case study of Xingyuan landslide, Shaanxi, China. J. Appl. Remote Sens., 10.","DOI":"10.1117\/1.JRS.10.026030"},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"657","DOI":"10.1080\/2150704X.2013.782111","article-title":"A TerraSAR-X InSAR study of landslides in southern Kyrgyzstan, central Asia","volume":"4","author":"Motagh","year":"2013","journal-title":"Remote Sens. Lett."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1029\/2008GL034654","article-title":"A multi-temporal InSAR method incorporating both persistent scatterer and small baseline approaches","volume":"35","author":"Hooper","year":"2008","journal-title":"Geophys. Res. Lett."},{"key":"ref_44","first-page":"310","article-title":"Remote sensing interpretation on June 28, 2010 Guanling landslide, Guizhou Province, China","volume":"18","author":"Wang","year":"2011","journal-title":"Geosci. Front."},{"key":"ref_45","first-page":"10","article-title":"Remote sensing for landslide survey, monitoring and evaluation","volume":"1","author":"Wang","year":"2007","journal-title":"Remote Sens. Land Resour."},{"key":"ref_46","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 multitemporal differential SAR interferograms","volume":"44","author":"Pepe","year":"2006","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_47","unstructured":"Kimura, H., and Todo, M. (1997, January 3\u20138). Baseline estimation using ground points for interferometric SAR. Proceedings of the Geoscience and Remote Sensing, 1997. IGARSS \u201997. Remote Sensing\u2014A Scientific Vision for Sustainable Development, Singapore."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1016\/j.jseaes.2012.06.002","article-title":"Analysis of landslide dams induced by the 2008 Wenchuan earthquake","volume":"57","author":"Fan","year":"2012","journal-title":"J. Asian Earth Sci."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"8925","DOI":"10.3390\/rs70708925","article-title":"Large-area landslides monitoring using advanced multi-temporal InSAR technique over the giant panda habitat, Sichuan, China","volume":"7","author":"Tang","year":"2015","journal-title":"Remote Sens."},{"key":"ref_50","first-page":"395","article-title":"Formation conditions, development tendency and preventive measures of Pufu landslide in Luquan of Yunnan","volume":"29","author":"Cheng","year":"2015","journal-title":"Min. Res. Geo."},{"key":"ref_51","first-page":"54","article-title":"Geological research on Jinpingzi giant landslide of Wudongde Hydropower Station","volume":"45","author":"Wang","year":"2014","journal-title":"Yangt. Riv."},{"key":"ref_52","unstructured":"Wang, X.M. (2013). Study on Rock Fractures and Rock Blocks in Wudongde Dam Area. [Ph.D. Thesis, China University of Geosciences]."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"233","DOI":"10.1029\/2002JB001831","article-title":"Fault creep along the southern san Andreas from interferometric synthetic aperture radar, permanent scatterers, and stacking","volume":"108","author":"Lyons","year":"2003","journal-title":"J. Geophys. Res. Solid Earth"},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1130\/0091-7613(1995)023<0041:LFATFA>2.3.CO;2","article-title":"Landslide faults and tectonic faults, analogs? The slumgullion earthflow, Colorado","volume":"23","author":"Gomberg","year":"1995","journal-title":"Geology"},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"569","DOI":"10.5194\/nhess-3-569-2003","article-title":"Observation of surface features on an active landslide, and implications for understanding its history of movement","volume":"3","author":"Parise","year":"2003","journal-title":"Nat. Hazards Earth Syst. Sci."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"285","DOI":"10.1016\/j.geomorph.2014.04.039","article-title":"Influence of slip-surface geometry on earth-flow deformation, Montaguto earth flow, southern Italy","volume":"219","author":"Guerriero","year":"2014","journal-title":"Geomorphology"},{"key":"ref_57","doi-asserted-by":"crossref","unstructured":"Gomberg, J.S., Schulz, W.H., Bodin, P., and Kean, J.W. (2011). Seismic and geodetic signatures of fault slip at the Slumgullion landslide natural laboratory. J. Geophys. Res., 116.","DOI":"10.1029\/2011JB008304"},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"269","DOI":"10.2113\/JEEG18.4.269","article-title":"Slidequake generation versus viscous creep at soft rock-landslides: Synopsis of three different scenarios at Slumgullion landslide, Heumoes slope, and Super-Sauze mudslide","volume":"18","author":"Walter","year":"2013","journal-title":"J. Environ. Eng. Geophys."},{"key":"ref_59","unstructured":"Xu, B. (2016). Study on Deformation Characteristics of Instability and Sliding Model of Creep Landslide. [Ph.D. Thesis, University of Science and Technology Beijing]."},{"key":"ref_60","unstructured":"Changjiang Institute of Survey, Planning, Design and Research (2014). Comprehensive Analysis Report of Safety Monitoring Data of Jinpingzi Landslide, Changjiang Institute of Survey, Planning, Design and Research."},{"key":"ref_61","first-page":"3","article-title":"The influence of earthflow morphology on moisture conditions and slope instability","volume":"43","author":"McConchie","year":"2004","journal-title":"J. Hydrol."},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"2624","DOI":"10.1016\/j.rse.2010.05.033","article-title":"Landslide susceptibility mapping using downscaled AMSR-E soil moisture: A case study from Cleveland Corral, California, US","volume":"114","author":"Ray","year":"2010","journal-title":"Remote. Sens. Environ."},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"266","DOI":"10.1016\/j.jenvman.2009.05.035","article-title":"In situ measurement of soil moisture and pore-water pressures in an \u2018incipient\u2019 landslide: Lake tutira, New Zealand","volume":"92","author":"Hawke","year":"2011","journal-title":"J. Environ. Manag."},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"1177","DOI":"10.1002\/esp.419","article-title":"The role of the soil moisture balance in the unsaturated zone on movement and stability of the Beline landslide, France","volume":"27","author":"Bogaard","year":"2002","journal-title":"Earth Surf. Process. Landf."},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"1897","DOI":"10.1029\/2000WR900090","article-title":"Landslide triggering by rain infiltration","volume":"36","author":"Iverson","year":"2000","journal-title":"Water Resour. Res."},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"579","DOI":"10.1130\/0016-7606(1987)99<579:RGFASM>2.0.CO;2","article-title":"Rainfall, ground-water flow, and seasonal movement at Minor Creek landslide, Northwestern California: Physical interpretation of empirical relations","volume":"99","author":"Iverson","year":"1987","journal-title":"Geol. Soc. Am. Bull."},{"key":"ref_67","unstructured":"Ulaby, F.T., Moore, R.K., and Fung, A.K. (1986). Microwave Remote Sensing: Active and Passive, Artech House."},{"key":"ref_68","doi-asserted-by":"crossref","first-page":"1063","DOI":"10.1080\/01431160110040035","article-title":"Study of high SAR backscattering caused by an increase of soil moisture over a sparsely vegetated area: Implications for characteristics of backscattering","volume":"23","author":"Lu","year":"2002","journal-title":"Int. J. Remote Sens."},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"1207","DOI":"10.1007\/s10346-015-0638-6","article-title":"Analytical and approximate expressions predicting post-failure landslide displacement using the multi-block model and energy methods","volume":"12","author":"Stamatopoulos","year":"2015","journal-title":"Landslides"},{"key":"ref_70","doi-asserted-by":"crossref","first-page":"903","DOI":"10.1007\/s11069-016-2611-7","article-title":"A method predicting the earthquake-induced landslide risk by back analyses of past landslides and its application in the region of the Wenchuan 12\/5\/2008 earthquake","volume":"85","author":"Di","year":"2017","journal-title":"Nat. Hazards"}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/10\/7\/993\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T15:09:45Z","timestamp":1760195385000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/10\/7\/993"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,6,22]]},"references-count":70,"journal-issue":{"issue":"7","published-online":{"date-parts":[[2018,7]]}},"alternative-id":["rs10070993"],"URL":"https:\/\/doi.org\/10.3390\/rs10070993","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,6,22]]}}}