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Evaluation of four classification algorithms of Landsat-8 and Sentinel-2 satellite images to identify forest cover in highly fragmented regions in Costa Rica

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dc.contributor.authorÁvila Pérez, Iván
dc.contributor.authorOrtiz-Malavasi, Edgar
dc.contributor.authorSoto-Montoya, Casia
dc.contributor.authorVargas Solano, Yerlin
dc.contributor.authorAguilar-Arias, Heileen
dc.contributor.authorMiller Granados, Cornelia
dc.date.accessioned2026-09-07T15:56:02Z
dc.date.available2026-09-07T15:56:02Z
dc.date.issued2020
dc.identifier.doihttps://doi.org/10.4995/raet.2020.13340
dc.identifier.urihttps://hdl.handle.net/20.500.12337/11858
dc.language.isoes
dc.publisherUniversitat Politècnica de València
dc.relationhttps://doi.org/10.4995/raet.2020.13340
dc.rightsacceso abierto
dc.sourceRevista de Teledetección, vol. 57, pp. 37–49
dc.subjectIMÁGENES SATELITALES
dc.subjectCOBERTURA FORESTAL
dc.subjectALGORITMOS
dc.titleEvaluation of four classification algorithms of Landsat-8 and Sentinel-2 satellite images to identify forest cover in highly fragmented regions in Costa Rica
dc.typeartículo de investigación

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