{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T20:55:31Z","timestamp":1775076931662,"version":"3.50.1"},"reference-count":72,"publisher":"Copernicus GmbH","issue":"3","license":[{"start":{"date-parts":[[2019,3,11]],"date-time":"2019-03-11T00:00:00Z","timestamp":1552262400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Nat. Hazards Earth Syst. Sci."],"abstract":"<jats:p>Abstract. This work evaluates the influence of land use and land cover (LUC) data with\ndifferent properties on the landslide susceptibility zonation of the road\nnetwork in the Z\u00eazere watershed (Portugal). The information value method\nwas used to assess the landslide susceptibility using two models: one\nincluding detailed LUC data (the Portuguese Land Cover Map \u2013 COS) and the\nother including more generalized LUC data (the CORINE Land Cover \u2013 CLC). A\nset of fixed independent layers was considered as landslide predisposing\nfactors (slope angle, slope aspect, slope curvature, slope-over-area ratio,\nsoil, and lithology) while COS and CLC were used to find the differences in\nthe landslide susceptibility zonation. A landslide inventory was used as a\ndependent layer, including 259 shallow landslides obtained from the\nphotointerpretation of orthophotos from 2005, and further validated in three\nsample areas. The landslide susceptibility maps were assigned to the road\nnetwork data and resulted in two landslide susceptibility road network maps.\nThe models' performance was evaluated with prediction and success rate curves\nand the area under the curve (AUC). The landslide susceptibility results\nobtained in the two models present a high accuracy in terms of the AUC\n(&gt;90\u2009%), but the model with more detailed LUC data (COS)\nproduces better results in the landslide susceptibility zonation on the road\nnetwork with the highest landslide susceptibility.<\/jats:p>","DOI":"10.5194\/nhess-19-471-2019","type":"journal-article","created":{"date-parts":[[2019,3,11]],"date-time":"2019-03-11T11:00:46Z","timestamp":1552302046000},"page":"471-487","source":"Crossref","is-referenced-by-count":64,"title":["Effects of different land use and land cover data on the landslide susceptibility zonation of road networks"],"prefix":"10.5194","volume":"19","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3348-6732","authenticated-orcid":false,"given":"Bruno M.","family":"Meneses","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9674-0964","authenticated-orcid":false,"given":"Susana","family":"Pereira","sequence":"additional","affiliation":[]},{"given":"Eus\u00e9bio","family":"Reis","sequence":"additional","affiliation":[]}],"member":"3145","published-online":{"date-parts":[[2019,3,11]]},"reference":[{"key":"ref1","doi-asserted-by":"crossref","unstructured":"Beguer\u00eda, S.: Changes in land cover and shallow landslide activity: A\ncase study in the Spanish Pyrenees, Geomorphology, 74, 196\u2013206,\nhttps:\/\/doi.org\/10.1016\/j.geomorph.2005.07.018, 2006.","DOI":"10.1016\/j.geomorph.2005.07.018"},{"key":"ref2","doi-asserted-by":"crossref","unstructured":"Berdica, K.: An introduction to road vulnerability: What has been done, is\ndone and should be done, Transp. 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