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1. Identificação
Tipo de ReferênciaArtigo em Evento (Conference Proceedings)
Sitemtc-m16c.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP8W/3BSRJPS
Repositóriosid.inpe.br/mtc-m18/2012/05.14.17.10
Última Atualização2012:05.14.17.10.03 (UTC) administrator
Repositório de Metadadossid.inpe.br/mtc-m18/2012/05.14.17.10.04
Última Atualização dos Metadados2018:06.04.03.55.35 (UTC) administrator
ISBN978-85-17-00059-1
Chave de CitaçãoMagalhaesSchiMantBort:2012:ImClUs
TítuloImage classification using Landsat TM images for mapping wetlands vegetation (banhados) of the Catarinense Plateau, southern Brazil
FormatoOn-line.
Ano2012
Data de Acesso06 jun. 2024
Tipo SecundárioPRE CI
Número de Arquivos1
Tamanho325 KiB
2. Contextualização
Autor1 Magalhaes, Tatiana Lobato De
2 Schimalski, Marcos Benedito
3 Mantovani, Adelar
4 Bortoluzzi, Roseli Lopes Da Costa
Endereço de e-Mail do Autor1 tatilobato@gmail.com
2 schmalski@uol.com.br
3 mantovani@cav.udesc.br
4 rosebortoluzzi@gmail.com
EditorFeitosa, Raul Queiroz
Costa, Gilson Alexandre Ostwald Pedro da
Almeida, Cláudia Maria de
Fonseca, Leila Maria Garcia
Kux, Hermann Johann Heinrich
Endereço de e-Mailwanderf@dsr.inpe.br
Nome do EventoInternational Conference on Geographic Object-Based Image Analysis, 4 (GEOBIA).
Localização do EventoRio de Janeiro
DataMay 7-9, 2012
Editora (Publisher)Instituto Nacional de Pesquisas Espaciais (INPE)
Cidade da EditoraSão José dos Campos
Páginas292-297
Título do LivroProceedings
OrganizaçãoInstituto Nacional de Pesquisas Espaciais (INPE)
Histórico (UTC)2012-05-14 17:10:04 :: wanderf@dsr.inpe.br -> administrator ::
2012-05-30 13:41:45 :: administrator -> wanderf@dsr.inpe.br :: 2012
2012-06-01 15:12:41 :: wanderf@dsr.inpe.br -> marciana :: 2012
2012-06-12 14:28:23 :: marciana -> seki@dsr.inpe.br :: 2012
2012-06-13 15:55:29 :: seki@dsr.inpe.br -> marciana :: 2012
2012-06-14 15:03:55 :: marciana -> administrator :: 2012
2018-06-04 03:55:35 :: administrator -> :: 2012
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Palavras-ChaveRemote sensing
Environmental monitoring
Minimum noise fraction (MNF)
Object-oriented
Maximum Likelihood classificatory
Freshwater wetland
ResumoWetlands embody a diversified scope of ecosystems. This environment presents a high richness of botanical species, acting as an interface between earthly and aquatic systems providing a rich biodiversity, including endangered endemic species. Catarinense Plateau, located in Southern Brazil, presents these typical wetlands, occurring in altitudes between 800 to 1600m, yet scarcely researched about its occurrence and spatial borders. They occur in small and medium sized extensions, are frequent and occur intermingled to altitude meadows. This study aims to map and delimitate the occurrence of wetlands, and was realized in the Catarinense Plateau, localized in Santa Catarina State (between 27°30`S, 51°00`W and 28°30` S, 49°45`W). Two methods were tested in this classification: object-based and pixel-based classification. A pixel-based image analysis supervised classification was performed using Maximum Likelihood algorithm, separating two classes of features, wetlands and non-wetlands. All Landsat Thematic Mapper (TM) image process used ENVI 4.7 and ENVI EX software. The Catarinense Plateau wetlands occur in random distribution, with small and medium sized extensions, usually between 0.5 - 5 ha. The reference intersection values are bigger in pixel-based classification, however the object-oriented classification shows better the shape correlation to reference base polygons. Wetland delimitation maps are important factors to improve the conservation and good management of the ecosystem. More studies are needed so that the delimitation and extent of these wetlands can be accurately mapped.
ÁreaSRE
TipoAquatic and Coastal Ecossystems
Conteúdo da Pasta docacessar
Conteúdo da Pasta sourcenão têm arquivos
Conteúdo da Pasta agreementnão têm arquivos
4. Condições de acesso e uso
URL dos dadoshttp://urlib.net/ibi/8JMKD3MGP8W/3BSRJPS
URL dos dados zipadoshttp://urlib.net/zip/8JMKD3MGP8W/3BSRJPS
Idiomaen
Arquivo Alvo081.pdf
Grupo de Usuáriosadministrator
wanderf@dsr.inpe.br
administrator
Visibilidadeshown
5. Fontes relacionadas
Repositório Espelhourlib.net/www/2011/03.29.20.55
Acervo Hospedeirosid.inpe.br/mtc-m18@80/2008/03.17.15.17
6. Notas
Campos Vaziosaffiliation archivingpolicy archivist callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage doi edition group issn label lineage mark nextedition nexthigherunit notes numberofvolumes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark serieseditor shorttitle sponsor tertiarymark tertiarytype url versiontype volume


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