1. Identificação | |
Tipo de Referência | Artigo em Evento (Conference Proceedings) |
Site | mtc-m16c.sid.inpe.br |
Código do Detentor | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
Identificador | 8JMKD3MGP8W/3BT29D5 |
Repositório | sid.inpe.br/mtc-m18/2012/05.15.13.08 |
Última Atualização | 2012:05.15.13.08.48 (UTC) administrator |
Repositório de Metadados | sid.inpe.br/mtc-m18/2012/05.15.13.08.48 |
Última Atualização dos Metadados | 2018:06.04.03.55.36 (UTC) administrator |
ISBN | 978-85-17-00059-1 |
Chave de Citação | AlvesAlveFlorPere:2012:ChLaUs |
Título | Characterizing land use and cover change and sugar cane expansion using TM data, EVI2-MODIS and object-based image analysis |
Formato | On-line. |
Ano | 2012 |
Data de Acesso | 30 abr. 2024 |
Tipo Secundário | PRE CI |
Número de Arquivos | 1 |
Tamanho | 504 KiB |
|
2. Contextualização | |
Autor | 1 Alves, Claudia Durand 2 Alves, Diógenes Salas 3 Florenzano, Teresa Gallotti 4 Pereira, Madalena Niero |
Identificador de Curriculo | 1 2 3 8JMKD3MGP5W/3C9JJ9T 4 8JMKD3MGP5W/3C9JHNH |
Grupo | 1 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 |
Afiliação | 1 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 Autor | 1 durand@dsr.inpe.br 2 dalves@dpi.inpe.br 3 teresa@dsr.inpe.br 4 madalena@dsr.inpe.br |
Editor | Feitosa, Raul Queiroz Costa, Gilson Alexandre Ostwald Pedro da Almeida, Cláudia Maria de Fonseca, Leila Maria Garcia Kux, Hermann Johann Heinrich |
Endereço de e-Mail | wanderf@dsr.inpe.br |
Nome do Evento | International Conference on Geographic Object-Based Image Analysis, 4 (GEOBIA). |
Localização do Evento | Rio de Janeiro |
Data | May 7-9, 2012 |
Editora (Publisher) | Instituto Nacional de Pesquisas Espaciais (INPE) |
Cidade da Editora | São José dos Campos |
Páginas | 628-633 |
Título do Livro | Proceedings |
Organização | Instituto 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 Conteúdo | concluido |
Transferível | 1 |
Palavras-Chave | land use/cover change TM data EVI2-MODIS sugar cane object-based classification |
Resumo | Land 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. |
Área | SRE |
Tipo | Classification |
Arranjo 1 | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDPI > Characterizing land use... |
Arranjo 2 | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Characterizing land use... |
Conteúdo da Pasta doc | acessar |
Conteúdo da Pasta source | não têm arquivos |
Conteúdo da Pasta agreement | não têm arquivos |
|
4. Condições de acesso e uso | |
URL dos dados | http://urlib.net/ibi/8JMKD3MGP8W/3BT29D5 |
URL dos dados zipados | http://urlib.net/zip/8JMKD3MGP8W/3BT29D5 |
Idioma | en |
Arquivo Alvo | 173.pdf |
Grupo de Usuários | administrator marciana wanderf@dsr.inpe.br |
Visibilidade | shown |
|
5. Fontes relacionadas | |
Repositório Espelho | urlib.net/www/2011/03.29.20.55 |
Unidades Imediatamente Superiores | 8JMKD3MGPCW/3EQCCU5 8JMKD3MGPCW/3ER446E |
Acervo Hospedeiro | sid.inpe.br/mtc-m18@80/2008/03.17.15.17 |
|
6. Notas | |
Campos Vazios | archivingpolicy 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 |
|