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| Campo DC | Valor | Idioma |
|---|---|---|
| dc.creator | Silveira, Eduarda Martiniano de Oliveira | - |
| dc.creator | Menezes, Michele Duarte de | - |
| dc.creator | Acerbi Júnior, Fausto Weimar | - |
| dc.creator | Terra, Marcela Castro Nunes Santos | - |
| dc.creator | Mello, José Márcio de | - |
| dc.date.accessioned | 2018-09-11T11:46:27Z | - |
| dc.date.available | 2018-09-11T11:46:27Z | - |
| dc.date.issued | 2017 | - |
| dc.identifier.citation | SILVEIRA, E. M. de O. et al. Assessment of geostatistical features for object-based image classification of contrasted landscape vegetation cover. Journal of Applied Remote Sensing, [S.l.], v. 11, n. 3, 2017. | pt_BR |
| dc.identifier.uri | https://www.spiedigitallibrary.org/journals/journal-of-applied-remote-sensing/volume-11/issue-03/036004/Assessment-of-geostatistical-features-for-object-based-image-classification-of/10.1117/1.JRS.11.036004.full?SSO=1 | pt_BR |
| dc.identifier.uri | http://repositorio.ufla.br/jspui/handle/1/30403 | - |
| dc.description.abstract | Accurate mapping and monitoring of savanna and semiarid woodland biomes are needed to support the selection of areas of conservation, to provide sustainable land use, and to improve the understanding of vegetation. The potential of geostatistical features, derived from medium spatial resolution satellite imagery, to characterize contrasted landscape vegetation cover and improve object-based image classification is studied. The study site in Brazil includes cerrado | pt_BR |
| dc.language | en_US | pt_BR |
| dc.rights | restrictAccess | pt_BR |
| dc.source | Journal of Applied Remote Sensing | pt_BR |
| dc.title | Assessment of geostatistical features for object-based image classification of contrasted landscape vegetation cover | pt_BR |
| dc.type | Artigo | pt_BR |
| Aparece nas coleções: | DCF - Artigos publicados em periódicos DCS - Artigos publicados em periódicos | |
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