Red de Bibliotecas Virtuales de Ciencias Sociales en
América Latina y el Caribe

logo CLACSO

  1. Repositorio institucional de CLACSO
  2. Colección de los Centros Asociados
  3. Brasil
  4. Programa de Pós-graduação em Geografía - PPGGeo/UFPR - Cosecha
Por favor, use este identificador para citar o enlazar este ítem: https://biblioteca-repositorio.clacso.edu.ar/handle/CLACSO/74646
Registro completo de metadatos
Campo DC Valor Lengua/Idioma
dc.contributorInstituto Nacional de Pesquisas Espaciais, FAPESP, CNPqen-US
dc.creatorCerqueira Dutra, Andeise-
dc.creatorShimabukuro, Yosio Edemir-
dc.creatorArai, Egidio-
dc.date2019-08-28-
dc.date.accessioned2022-03-21T18:27:59Z-
dc.date.available2022-03-21T18:27:59Z-
dc.identifierhttps://revistas.ufpr.br/raega/article/view/67098-
dc.identifier10.5380/raega.v46i3.67098-
dc.identifier.urihttp://biblioteca-repositorio.clacso.edu.ar/handle/CLACSO/74646-
dc.descriptionThe complexity of pixel composition of orbital images has been commonly referred to the spectral mixture problem. The acquisition of endmembers (pure pixels) direct from image under study is one of the most commonly employed approaches. However, it becomes limited in low or moderate spatial resolutions due to the lower probability of finding those pixels. In this way, this work proposes the combined use of images with different spatial resolutions to estimate the spectral responses of the endmembers in low spatial resolution image, from the obtained proportions derived from the spatial higher-resolution images. The proposed methodology was applied to products provided by PROBA-V satellite with spatial resolution of 100 m and 1 km in the Pantanal region of Mato Grosso state. Initially, the fraction images (proportions) were generated from the 100 m dataset using the endmembers selected directly in the image, considering the higher probability of finding pure pixels in such images. Following the spectral responses of the endmembers in 1 km were estimated by multiple linear regression, using the proportions of the endmembers in the pixels derived from 100 m images. For the evaluation, the endmembers fraction images were compared and field data was used. These analyses indicated that the spectral responses estimated allowed to improve the results with regard to error, to variability, and to the identification of endmembers proportions, considering that inadequate choice of pixels considered as pure in low spatial resolution images can affect the quality of the fraction images for operational use.en-US
dc.formatapplication/pdf-
dc.formatapplication/pdf-
dc.languageeng-
dc.languagepor-
dc.publisherUFPRpt-BR
dc.relationhttps://revistas.ufpr.br/raega/article/view/67098/39192-
dc.relationhttps://revistas.ufpr.br/raega/article/view/67098/39184-
dc.rightsDireitos autorais 2019 Raega - O Espaço Geográfico em Análisept-BR
dc.sourceRA'E GA Journal - The Geographic Space in Analysis; v. 46, n. 3 (2019): 7º GeoPantanal - Simpósio de Geotecnologias no Pantanal; 48-62en-US
dc.sourceRaega - O Espaço Geográfico em Análise; v. 46, n. 3 (2019): 7º GeoPantanal - Simpósio de Geotecnologias no Pantanal; 48-62pt-BR
dc.source2177-2738-
dc.source1516-4136-
dc.source10.5380/raega.v46i3-
dc.subjectSensoriamento Remotoen-US
dc.subjectEstimated Endmembers; Moderate Spatial Resolution; Linear Regression; Regional Scale; Pantanalen-US
dc.titleLINEAR SPECTRAL MIXING MODEL APPLIED IN IMAGES FROM PROBA-V SENSOR: A SPATIAL MULTIRESOLUTION APPROACHen-US
dc.typeinfo:eu-repo/semantics/article-
dc.typeinfo:eu-repo/semantics/publishedVersion-
dc.typept-BR
Aparece en las colecciones: Programa de Pós-graduação em Geografía - PPGGeo/UFPR - Cosecha

Ficheros en este ítem:
No hay ficheros asociados a este ítem.
Mostrar el registro sencillo del ítem


Los ítems de DSpace están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.