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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/3BT29D5
Repositóriosid.inpe.br/mtc-m18/2012/05.15.13.08
Última Atualização2012:05.15.13.08.48 (UTC) administrator
Repositório de Metadadossid.inpe.br/mtc-m18/2012/05.15.13.08.48
Última Atualização dos Metadados2018:06.04.03.55.36 (UTC) administrator
ISBN978-85-17-00059-1
Chave de CitaçãoAlvesAlveFlorPere:2012:ChLaUs
TítuloCharacterizing land use and cover change and sugar cane expansion using TM data, EVI2-MODIS and object-based image analysis
FormatoOn-line.
Ano2012
Data de Acesso30 abr. 2024
Tipo SecundárioPRE CI
Número de Arquivos1
Tamanho504 KiB
2. Contextualização
Autor1 Alves, Claudia Durand
2 Alves, Diógenes Salas
3 Florenzano, Teresa Gallotti
4 Pereira, Madalena Niero
Identificador de Curriculo1
2
3 8JMKD3MGP5W/3C9JJ9T
4 8JMKD3MGP5W/3C9JHNH
Grupo1 DSR-OBT-INPE-MCTI-GOV-BR
2 DPI-OBT-INPE-MCTI-GOV-BR
3 DSR-OBT-INPE-MCTI-GOV-BR
4 DSR-OBT-INPE-MCTI-GOV-BR
Afiliação1 undefined
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Instituto Nacional de Pesquisas Espaciais (INPE)
4 Instituto Nacional de Pesquisas Espaciais (INPE)
Endereço de e-Mail do Autor1 durand@dsr.inpe.br
2 dalves@dpi.inpe.br
3 teresa@dsr.inpe.br
4 madalena@dsr.inpe.br
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
Páginas628-633
Título do LivroProceedings
OrganizaçãoInstituto Nacional de Pesquisas Espaciais (INPE)
Histórico (UTC)2012-05-15 13:08:48 :: wanderf@dsr.inpe.br -> administrator ::
2012-05-30 13:42:25 :: administrator -> wanderf@dsr.inpe.br :: 2012
2012-06-01 15:12:42 :: 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 03:55:36 :: administrator -> :: 2012
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Palavras-Chaveland use/cover change
TM data
EVI2-MODIS
sugar cane
object-based classification
ResumoLand use/cover change (LUCC) is a cross-disciplinary research field in which remote sensing and geographic information systems (GIS) techniques have played an important role. Sugar cane expansion is one of the most important LUCC processes in Brazil,whose expansion has been monitored since the early 2000 within the framework of INPEs CANASAT project. In this work, a methodology is proposed to investigate land use/cover changes in a region of sugar cane expansion based on integrating CANASAT maps, remote sensing data and agricultural statistics in a GIS, and assess, in particular, which land use/cover classes are converted to give place to sugar cane expansion in the 2003-2009 period. The area under study is the municipality of Barretos (São Paulo State), which suffered a strong expansion of sugar cane culture during the 2003-2009 period of study, accompanied by a 46% reduction in pasture areas, and a 40% increase in cattle. A land use/ cover map for the year of 2003 was produced based on Landsat Thematic Mapper (TM) , and MODIS EVI2 yearly maximum and time series; high spatial resolution images, available at Google Earth were also used. Two methods of classification were compared: a pixel-based automatic supervised classification using the SPRING software; and an object-based image analysis algorithm using Definiens software. The mapping evaluation was carried out by random points sampling verified by visual interpretation. The classifications using the object-based image analysis performed better than those executed by traditional pixel-based approach, and these methods resulted in Kappa indices of 0.68 and 0.47, respectively. Using the EVI2-MODIS time series was of fundamental importance for the discrimination among land use/cover classes.
ÁreaSRE
TipoClassification
Arranjo 1urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDPI > Characterizing land use...
Arranjo 2urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Characterizing land use...
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/3BT29D5
URL dos dados zipadoshttp://urlib.net/zip/8JMKD3MGP8W/3BT29D5
Idiomaen
Arquivo Alvo173.pdf
Grupo de Usuáriosadministrator
marciana
wanderf@dsr.inpe.br
Visibilidadeshown
5. Fontes relacionadas
Repositório Espelhourlib.net/www/2011/03.29.20.55
Unidades Imediatamente Superiores8JMKD3MGPCW/3EQCCU5
8JMKD3MGPCW/3ER446E
Acervo Hospedeirosid.inpe.br/mtc-m18@80/2008/03.17.15.17
6. Notas
Campos Vaziosarchivingpolicy archivist callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage doi edition issn label lineage mark nextedition notes numberofvolumes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission rightsholder schedulinginformation secondarydate secondarykey secondarymark serieseditor shorttitle sponsor tertiarymark tertiarytype url versiontype volume


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