{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,28]],"date-time":"2026-02-28T07:02:01Z","timestamp":1772262121654,"version":"3.50.1"},"posted":{"date-parts":[[2015,9,23]]},"group-title":"Landslides and Debris Flows Hazards","reference-count":61,"publisher":"Copernicus GmbH","license":[{"start":{"date-parts":[[2015,9,23]],"date-time":"2015-09-23T00:00:00Z","timestamp":1442966400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"funder":[{"DOI":"10.13039\/501100001871","name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia","doi-asserted-by":"publisher","award":["PTDC\/ECM\/116611\/2010"],"award-info":[{"award-number":["PTDC\/ECM\/116611\/2010"]}],"id":[{"id":"10.13039\/501100001871","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"abstract":"<jats:p>Abstract. A method for semi-automatic landslide detection, with the ability to separate source and run-out areas, is presented in this paper. It combines object-based image analysis and a Support Vector Machine classifier on a GeoEye-1 multispectral image, sensed 3 days after the major damaging landslide event that occurred in Madeira island (20 February 2010), with a pre-event LIDAR Digital Elevation Model. The testing is developed in a 15 km2-wide study area, where 95 % of the landslides scars are detected by this supervised approach. The classifier presents a good performance in the delineation of the overall landslide area. In addition, fair results are achieved in the separation of the source from the run-out landslide areas, although in less illuminated slopes this discrimination is less effective than in sunnier east facing-slopes.<\/jats:p>","DOI":"10.5194\/nhessd-3-5633-2015","type":"posted-content","created":{"date-parts":[[2015,9,23]],"date-time":"2015-09-23T01:49:42Z","timestamp":1442972982000},"source":"Crossref","is-referenced-by-count":1,"title":["Automated object-based classification of rain-induced landslides with VHR multispectral images in Madeira Island"],"prefix":"10.5194","author":[{"given":"S.","family":"Heleno","sequence":"first","affiliation":[]},{"given":"M.","family":"Matias","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3199-7961","authenticated-orcid":false,"given":"P.","family":"Pina","sequence":"additional","affiliation":[]},{"given":"A. J.","family":"Sousa","sequence":"additional","affiliation":[]}],"member":"3145","reference":[{"key":"ref1","doi-asserted-by":"crossref","unstructured":"Aksoy, B. and Ercanoglu, M.: Landslide identification and classification by object-based image analysis and fuzzy logic: an example from the Azdavay region (Kastamonu,Turkey), Comput. Geosci., 38, 87\u201398, 2012.","DOI":"10.1016\/j.cageo.2011.05.010"},{"key":"ref2","doi-asserted-by":"crossref","unstructured":"Baioni, D.: Human activity and damaging landslides and floods on Madeira Island, Nat. Hazards Earth Syst. Sci., 11, 3035\u20133046, https:\/\/doi.org\/10.5194\/nhess-11-3035-2011, 2011.","DOI":"10.5194\/nhess-11-3035-2011"},{"key":"ref3","doi-asserted-by":"crossref","unstructured":"Barlow, J., Franklin, S., and Martin, Y.: High spatial resolution satellite imagery, DEM derivatives, and image segmentation for the detection of mass wasting processes, Photogramm. Eng. Rem. 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