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Improving land cover classifications with multiangular data: MISR data in mainland Spain

dc.contributor.authorNovillo, Carlos J
dc.contributor.authorArrogante-Funes, Patricia
dc.contributor.authorRomero-Calcerrada, Raúl
dc.date.accessioned2023-12-01T10:32:35Z
dc.date.available2023-12-01T10:32:35Z
dc.date.issued2018-10-24
dc.identifier.citationNovillo CJ, Arrogante-Funes P, Romero-Calcerrada R. Improving Land Cover Classifications with Multiangular Data: MISR Data in Mainland Spain. Remote Sensing. 2018; 10(11):1717. https://doi.org/10.3390/rs10111717es
dc.identifier.issn2072-4292
dc.identifier.urihttps://hdl.handle.net/10115/26807
dc.description.abstractIn this study, we deal with the application of multiangular data from the Multiangle Imaging Spectroradiometer (MISR) sensor for studying the effect of surface anisotropy and directional information on the classification accuracy for different land covers with different rate of disaggregation classes (from four to 35 different classes) from a Mediterranean bioregion in Iberian, Spain. We used various MISR band groups from nadir to blue, green, red, and NIR channels at nadir and off-nadir. The MISR data utilized here were provided by the L1B2T product (275 m spatial resolution) and belonged to two different orbits. We performed 23 classifications with the k-means algorithm to test multiangular data, number of clusters, and iteration effects. Our findings confirmed that the multiangular information, in addition to the multispectral information used as the input of the k-means algorithm, improves the land cover classification accuracy, and this improvement increased with the level of disaggregation. A very large number of clusters produced even better improvements than multiangular data.es
dc.language.isoenges
dc.publisherRemote Sensinges
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectMISRes
dc.subjectland cover classificationses
dc.subjectBRFes
dc.subjectmultiangular dataes
dc.subjectanisotropyes
dc.titleImproving land cover classifications with multiangular data: MISR data in mainland Spaines
dc.typeinfo:eu-repo/semantics/articlees
dc.identifier.doihttps://doi.org/10.3390/rs10111717es
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses


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Attribution 4.0 InternationalExcept where otherwise noted, this item's license is described as Attribution 4.0 International