Publication:
Multi-criteria evaluation of topographic correction methods

dc.contributor.authorSola Torralba, Ion
dc.contributor.authorGonzález de Audícana Amenábar, María
dc.contributor.authorÁlvarez-Mozos, Jesús
dc.contributor.departmentProyectos e Ingeniería Rurales_ES
dc.contributor.departmentLanda Ingeniaritza eta Proiektuakeu
dc.date.accessioned2016-10-27T09:47:40Z
dc.date.available2018-10-01T23:00:11Z
dc.date.issued2016
dc.descriptionIncluye 1 fichero de datoses_ES
dc.description.abstractIn the last decades, several topographic correction methods (TOC) have been proposed, but there is not an agreement on the best method. Furthermore, different evaluation criteria have been used in the past, and there is not any simple and objective evaluation procedure to measure the quality of the correction. Consequently, a multicriteria analysis of widely used topographic correction methods is required that evaluates their performance over different sensors, terrain and temporal configurations. In this work, ten TOC methods were assessed using seven different evaluation strategies. The analysis was carried out for three SPOT5 images acquired over a mountainous area of northern Spain. The images had different acquisition dates and solar angles, so as to evaluate performance under varying illumination conditions. The results obtained showed that Statistic-Empiricalmethod, CCorrection and Sun-Canopy-Sensor+C performed the best, and differences were minor when favorable illumination conditions were considered. For the seven tested evaluation strategies, interquartile range reduction of land covers or the comparison of sunlit and shaded slopes gave very similar results, whereas there were greater contrasts among other criteria.en
dc.description.sponsorshipPart of the research presented in this paper is funded by the Spanish Ministry of Economy and Competitiveness in the frame of the ESP2013-48458-C4-2-P project.en
dc.embargo.lift2018-10-01
dc.embargo.terms2018-10-01
dc.format.mimetypeapplication/pdfen
dc.format.mimetypeapplication/zipen
dc.identifier.doi10.1016/j.rse.2016.07.002
dc.identifier.issn0034-4257 (Print)
dc.identifier.issn1879-0704 (Electronic)
dc.identifier.urihttps://academica-e.unavarra.es/handle/2454/22503
dc.language.isoengen
dc.publisherElsevieren
dc.relation.ispartofRemote Sensing of Environment 184 (2016) 247–262en
dc.relation.projectIDinfo:eu-repo/grantAgreement/MINECO//ESP2013-48458-C4-2-P/ES/en
dc.relation.publisherversionhttps://dx.doi.org/10.1016/j.rse.2016.07.002
dc.rights© 2016 Elsevier B.V. The manuscript version is made available under the CC BY-NC-ND 4.0 license.en
dc.rights.accessRightsAcceso abierto / Sarbide irekiaes
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessen
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectTopographic correctionen
dc.subjectEvaluationen
dc.subjectComparisonen
dc.subjectMulti-criteriaen
dc.titleMulti-criteria evaluation of topographic correction methodsen
dc.typeArtículo / Artikuluaes
dc.typeinfo:eu-repo/semantics/articleen
dc.type.versionVersión aceptada / Onetsi den bertsioaes
dc.type.versioninfo:eu-repo/semantics/acceptedVersionen
dspace.entity.typePublication
relation.isAuthorOfPublication1c23b7f5-e29a-4d8d-ad82-9236d69a071d
relation.isAuthorOfPublication11f357a1-5ba6-4243-afc1-3616f2f5480d
relation.isAuthorOfPublicationf2f80825-fc58-4e45-9814-9eb10b68c4a9
relation.isAuthorOfPublication.latestForDiscovery1c23b7f5-e29a-4d8d-ad82-9236d69a071d

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