{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,30]],"date-time":"2026-03-30T14:26:34Z","timestamp":1774880794885,"version":"3.50.1"},"reference-count":52,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2019,1,23]],"date-time":"2019-01-23T00:00:00Z","timestamp":1548201600000},"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>Following a large continental earthquake, information on the spatial distribution of triggered landslides is required as quickly as possible for use in emergency response coordination. Synthetic Aperture Radar (SAR) methods have the potential to overcome variability in weather conditions, which often causes delays of days or weeks when mapping landslides using optical satellite imagery. Here we test landslide classifiers based on SAR coherence, which is estimated from the similarity in phase change in time between small ensembles of pixels. We test two existing SAR-coherence-based landslide classifiers against an independent inventory of landslides triggered following the Mw 7.8 Gorkha, Nepal earthquake, and present and test a new method, which uses a classifier based on coherence calculated from ensembles of neighbouring pixels and coherence calculated from a more dispersed ensemble of \u2018sibling\u2019 pixels. Using Receiver Operating Characteristic analysis, we show that none of these three SAR-coherence-based landslide classification methods are suitable for mapping individual landslides on a pixel-by-pixel basis. However, they show potential in generating lower-resolution density maps, which are used by emergency responders following an earthquake to coordinate large-scale operations and identify priority areas. The new method we present outperforms existing methods when tested at these lower resolutions, suggesting that it may be able to provide useful and rapid information on landslide distributions following major continental earthquakes.<\/jats:p>","DOI":"10.3390\/rs11030237","type":"journal-article","created":{"date-parts":[[2019,1,24]],"date-time":"2019-01-24T11:12:48Z","timestamp":1548328368000},"page":"237","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":61,"title":["A New Method for Large-Scale Landslide Classification from Satellite Radar"],"prefix":"10.3390","volume":"11","author":[{"given":"Katy","family":"Burrows","sequence":"first","affiliation":[{"name":"The Centre for Observation and Modelling of Earthquakes, Volcanoes and Tectonics, Department of Earth Sciences, Durham University, Durham DH1 3LE, UK"}]},{"given":"Richard J.","family":"Walters","sequence":"additional","affiliation":[{"name":"The Centre for Observation and Modelling of Earthquakes, Volcanoes and Tectonics, Department of Earth Sciences, Durham University, Durham DH1 3LE, UK"}]},{"given":"David","family":"Milledge","sequence":"additional","affiliation":[{"name":"School of Engineering, Newcastle University, Newcastle NE1 7RU, UK"}]},{"given":"Karsten","family":"Spaans","sequence":"additional","affiliation":[{"name":"The Centre for Observation and Modelling of Earthquakes, Volcanoes and Tectonics, Satsense, Leeds LS2 9DF, UK"}]},{"given":"Alexander L.","family":"Densmore","sequence":"additional","affiliation":[{"name":"Department of Geography, Durham University, Durham DH1 3LE, UK"}]}],"member":"1968","published-online":{"date-parts":[[2019,1,23]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1008","DOI":"10.1007\/s12583-016-0684-6","article-title":"Two comparable earthquakes produced greatly different coseismic landslides: The 2015 Gorkha, Nepal and 2008 Wenchuan, China events","volume":"27","author":"Xu","year":"2016","journal-title":"J. Earth Sci."},{"key":"ref_2","first-page":"1521","article-title":"The size, distribution, and mobility of landslides caused by the 2015 Mw 7.8 Gorkha earthquake, Nepal","volume":"17","author":"Roback","year":"2017","journal-title":"Nat. Hazards Earth Syst. Sci."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"319","DOI":"10.1007\/s11069-009-9372-5","article-title":"Global earthquake casualties due to secondary effects: A quantative analysis for improving rapid loss analyses","volume":"52","author":"Marano","year":"2010","journal-title":"Nat. Hazards"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"209","DOI":"10.1007\/s10346-009-0160-9","article-title":"The 12 May Wenchuan earthquake-induced landslide lakes: Distribution and preliminary risk evaluation","volume":"6","author":"Cui","year":"2009","journal-title":"Landslides"},{"key":"ref_5","unstructured":"Global Logistics Cluster (2017, June 19). Nepal Lessons Learned Report. Available online: http:\/\/www.logcluster.org\/global-meeting-document\/nepal-lessons-learned-report."},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Collins, B.D., and Jibson, R.W. (2015). Assessment of Existing and Potential Landslide Hazards Resulting from the April 25, 2015 Gorkha, Nepal Earthquake Sequence.","DOI":"10.3133\/ofr20151142"},{"key":"ref_7","unstructured":"Datta, A., Sigdelm, S., Oven, K., Rosser, N., Densmore, A., and Rijal, S. (2018). The Role of Scientific Evidence during the 2015 Nepal Earthquake Relief Efforts, Overseas Development Institute Report."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1016\/S0925-7535(00)00021-7","article-title":"Optimized resource allocation for emergency response after earthquake disasters","volume":"35","author":"Fiedrich","year":"2000","journal-title":"Saf. Sci."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"185","DOI":"10.5194\/nhess-18-185-2018","article-title":"Satellite-based emergency mapping using optical imagery: Experience and reflections from the 2015 Nepal earthquakes","volume":"18","author":"Williams","year":"2018","journal-title":"Nat. Hazards Earth Syst. Sci."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"1035","DOI":"10.5194\/nhess-16-1035-2016","article-title":"Semiautomated object-based classification of rain-induced landslides with VHR multispectral images on Madeira Island","volume":"16","author":"Heleno","year":"2016","journal-title":"Nat. Hazards Earth Syst. Sci."},{"key":"ref_11","unstructured":"The British Geological Survey (2018, July 08). Ecuador Disaster Response 2016. Available online: http:\/\/www.bgs.ac.uk\/research\/earthHazards\/epom\/ecuadorEarthquake.html."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"711","DOI":"10.1002\/2014JF003224","article-title":"Regional coseismic landslide hazard assessment without historical landslide inventories: A new approach","volume":"120","author":"Kritikos","year":"2015","journal-title":"J. Geophys. Res. Earth"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"173","DOI":"10.1016\/j.tecto.2016.10.031","article-title":"Application and evaluation of a rapid response earthquake-triggered landslide model to the 25 April 2015 Mw 7.8 Gorkha earthquake, Nepal","volume":"714","author":"Gallen","year":"2017","journal-title":"Tectonophysics"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"1521","DOI":"10.5194\/nhess-17-1521-2017","article-title":"Rapid post-earthquake modelling of coseismic landslide magnitude and distribution for emergency response decision support","volume":"17","author":"Robinson","year":"2017","journal-title":"Nat. Hazards Earth Syst. Sci."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"1533","DOI":"10.1785\/0220150146","article-title":"Strong-motion observations of the M 7.8 Gorkha, Nepal, earthquake sequence and development of the N-SHAKE strong-motion network","volume":"86","author":"Dixit","year":"2015","journal-title":"Seismol. Res. Lett."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"13844","DOI":"10.1038\/ncomms13844","article-title":"The role of space-based observation in understanding and responding to active tectonics and earthquakes","volume":"7","author":"Elliott","year":"2016","journal-title":"Nat. Commun."},{"key":"ref_17","unstructured":"Sentinel-1 (2018, August 02). European Space Agency. Available online: https:\/\/sentinel.esa.int\/web\/sentinel\/missions\/sentinel-1\/."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"203","DOI":"10.1016\/j.isprsjprs.2014.07.014","article-title":"A fully automated TerraSAR-X based flood service","volume":"104","author":"Martinis","year":"2015","journal-title":"ISPRS J. Photogramm."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"106","DOI":"10.1016\/j.isprsjprs.2014.05.009","article-title":"Integrating SAR and derived products into operational volcano monitoring and decision support systems","volume":"100","author":"Meyer","year":"2015","journal-title":"ISPRS J. Photogramm."},{"key":"ref_20","unstructured":"NASA (2018, June 27). Advanced Rapid Imaging and Analysis (ARIA) Project for Natural Hazards, Available online: https:\/\/aria.jpl.nasa.gov\/."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"1549","DOI":"10.1785\/0220150152","article-title":"Rapid Damage Mapping for the 2015 Mw 7.8 Gorkha Earthquake Using Synthetic Aperture Radar Data from COSMO-SkyMed and ALOS-2 Satellites","volume":"86","author":"Yun","year":"2015","journal-title":"Seismol. Res. Lett."},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Mulas, M., Corsini, A., Cuozzo, G., Callegari, M., Thiebes, B., and Mair, V. (2016, January 12\u201319). Quantitative monitoring of surface movements on active landslides by multi-temporal, high resolution X-band SAR amplitude information: Preliminary Results. Proceedings of the 12th International Symposium on Landslides, Napoli, Italy.","DOI":"10.1201\/b21520-186"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"51","DOI":"10.1016\/j.rse.2016.11.002","article-title":"Post-failure evolution analysis of a rainfall-triggered landslide by multi-temporal interferometry SAR approaches integrated with geotechnical analysis","volume":"188","author":"Confuorto","year":"2017","journal-title":"Remote Sens. Environ."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"951","DOI":"10.1080\/2150704X.2014.976885","article-title":"Deformation monitoring of slow-moving landslide with L-and C-band SAR interferometry","volume":"2014 5","author":"Shi","year":"2014","journal-title":"Remote Sens. Lett."},{"key":"ref_25","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_26","doi-asserted-by":"crossref","first-page":"172","DOI":"10.1016\/j.rse.2018.08.013","article-title":"Landslide state of activity maps by combining multi-temporal A-DInSAR (LAMBDA)","volume":"217","author":"Boni","year":"2018","journal-title":"Remote Sens. Environ."},{"key":"ref_27","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_28","doi-asserted-by":"crossref","first-page":"111","DOI":"10.1016\/j.rse.2018.08.014","article-title":"Satellite SAR interferometry for the improved assessment of the state of activity of landslides: A case study from the Cordilleras of Peru","volume":"217","author":"Strozzi","year":"2018","journal-title":"Remote Sens. Environ."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"205","DOI":"10.1080\/22797254.2017.1418185","article-title":"Landslide detection using COSMO-SkyMed images: A case study of a landslide event on Kii Peninsula, Japan","volume":"51","author":"Konishi","year":"2018","journal-title":"Eur. J. Remote Sens."},{"key":"ref_30","unstructured":"(2018, October 16). IASC Multi-Sector Initial Rapid Assessment Guidance. Available online: https:\/\/www.humanitarianresponse.info\/en\/programme-cycle\/space\/document\/multi-sector-initial-rapid-assessment-guidance-revision-july-2015."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"R1","DOI":"10.1088\/0266-5611\/14\/4\/001","article-title":"Synthetic Aperture Radar Interferometry","volume":"14","author":"Bamler","year":"1998","journal-title":"Inverse Probl."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"4361","DOI":"10.1364\/AO.33.004361","article-title":"Phase Statistics of interferograms with applications to synthetic aperture radar","volume":"33","author":"Just","year":"1994","journal-title":"Appl. Opt."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"763","DOI":"10.5194\/isprs-archives-XLI-B4-763-2016","article-title":"Towards InSAR everywhere, all the time with Sentinel-1","volume":"41","author":"Li","year":"2016","journal-title":"Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci."},{"key":"ref_34","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."},{"key":"ref_35","doi-asserted-by":"crossref","unstructured":"Fielding, E.J., Talebian, M., Rosen, P.A., Nazari, H., Jackson, J.A., Ghorashi, M., and Walker, R. (2005). Surface ruptures and building damage of the 2003 Bam, Iran, earthquake mapped by satellite synthetic aperture radar interferometric correlation. J. Geophys. Res. Solid Earth, 110.","DOI":"10.1029\/2004JB003299"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"1619","DOI":"10.1080\/014311600209931","article-title":"Comparison of SAR amplitude vs. coherence flood detection methods\u2014A GIS application","volume":"21","author":"Nico","year":"2000","journal-title":"Int. J. Remote Sens."},{"key":"ref_37","doi-asserted-by":"crossref","unstructured":"Vajedian, S., Motagh, M., Mousavi, Z., Motaghi, K., Fielding, E., Akbari, B., Wetzel, H.U., and Darabi, A. (2018). Coseismic Deformation Field of the Mw 7.3 12 November 2017 Sarpol-e Zahab (Iran) Earthquake: A Decoupling Horizon in the Northern Zagros Mountains Inferred from InSAR Observations. Remote Sens., 10.","DOI":"10.3390\/rs10101589"},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"1585","DOI":"10.1080\/01431160118187","article-title":"Decorrelation of SAR data by urban damages caused by the 1995 Hyogoken-nanbu earthquake","volume":"22","author":"Yonezawa","year":"2001","journal-title":"Int. J. Remote Sens."},{"key":"ref_39","unstructured":"Yun, S.H., Fielding, E.J., Webb, F.H., and Simons, M. (2012). Damage Proxy Map from Interferometric Synthetic Aperture Radar Coherence. (9,207,318), U.S. Patent."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"1143","DOI":"10.1109\/TIP.2005.864170","article-title":"Exact Histogram Specification","volume":"15","author":"Coltuc","year":"2006","journal-title":"IEEE Trans. Image Process."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"aac8353","DOI":"10.1126\/science.aac8353","article-title":"Geomorphic and geologic controls of geohazards induced by Nepal\u2019s 2015 Gorkha earthquake","volume":"351","author":"Kargel","year":"2016","journal-title":"Science"},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"2021","DOI":"10.1109\/TGRS.2014.2352555","article-title":"NL-SAR: A unified nonlocal framework for resolution-preserving (Pol)(In) SAR denoising","volume":"53","author":"Deledalle","year":"2015","journal-title":"IEEE Trans. Geosci. Remote"},{"key":"ref_43","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":"Feretti","year":"2011","journal-title":"IEEE Trans. Geosci. Remote"},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"2947","DOI":"10.1002\/2015JB012752","article-title":"InSAR processing for volcano monitoring and other near-real time applications","volume":"121","author":"Spaans","year":"2016","journal-title":"J. Geophys. Res. Solid Earth"},{"key":"ref_45","doi-asserted-by":"crossref","unstructured":"Farr, T.G., Rosen, P.A., Caro, E., Crippen, R., Duren, R., Hensley, S., Kobrick, M., Paller, M., Rodriguez, E., and Roth, L. (2007). The shuttle radar topography mission. Rev. Geophys., 45.","DOI":"10.1029\/2005RG000183"},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"315","DOI":"10.1007\/s11069-005-5182-6","article-title":"Validation and Evaluation of Predictive Models in Hazard Assessment and Risk Management","volume":"37","author":"Begueria","year":"2006","journal-title":"Nat. Hazards"},{"key":"ref_47","first-page":"192","article-title":"SAR simulation of three-dimensional scenes. SAR Data Processing for Remote Sensing","volume":"2316","author":"Franceschetti","year":"1994","journal-title":"Int. Soc. Opt. Photonics"},{"key":"ref_48","unstructured":"Frey, O., Santoro, M., Werner, C., and Wegmuller, U. (2011, January 19\u201323). DEM-based SAR pixel area estimation for enhanced geocoding refinement and radiometric normalization. Proceedings of the FRINGE 2011, Frascati, Italy."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"60","DOI":"10.1016\/j.earscirev.2018.03.001","article-title":"A review of statistically-based landslide susceptibility models","volume":"180","author":"Reichenbach","year":"2018","journal-title":"Earth Sci. Rev."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"2145","DOI":"10.1080\/01431160050029477","article-title":"Technical note: Simple masks for shadowing and highlighting in SAR images","volume":"21","author":"Rees","year":"2000","journal-title":"Int. J. Remote Sens."},{"key":"ref_51","doi-asserted-by":"crossref","unstructured":"Czuchlewski, K.R., Weissel, J.K., and Kim, Y. (2003). Polarimetric synthetic aperture radar study of the Tsaoling landslide generated by the 1999 Chi-Chi earthquake, Taiwan. J. Geophys. Res. Earth, 108.","DOI":"10.1029\/2003JF000037"},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"579","DOI":"10.1029\/98EO00426","article-title":"New improved version of the Generic Mapping Tools released","volume":"76","author":"Wessel","year":"1998","journal-title":"EOS Trans. Am. Geophys. Union"}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/11\/3\/237\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T12:28:19Z","timestamp":1760185699000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/11\/3\/237"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,1,23]]},"references-count":52,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2019,2]]}},"alternative-id":["rs11030237"],"URL":"https:\/\/doi.org\/10.3390\/rs11030237","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,1,23]]}}}