1. Identificação | |
Tipo de Referência | Artigo em Revista Científica (Journal Article) |
Site | plutao.sid.inpe.br |
Código do Detentor | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
Identificador | 8JMKD3MGP3W/3RAQSKP |
Repositório | sid.inpe.br/plutao/2018/06.19.04.38 (acesso restrito) |
Última Atualização | 2018:06.20.15.48.48 (UTC) lattes |
Repositório de Metadados | sid.inpe.br/plutao/2018/06.19.04.38.27 |
Última Atualização dos Metadados | 2019:01.14.17.09.18 (UTC) administrator |
DOI | 10.1016/j.jag.2018.02.010 |
ISSN | 0303-2434 |
Rótulo | lattes: 7484071887086439 1 AdamiBAFSERA:2018:SeVeTy |
Chave de Citação | AdamiBAFSERA:2018:SeVeTy |
Título | Seasonality of vegetation types of South America depicted by moderate resolution imaging spectroradiometer (MODIS) time series |
Ano | 2018 |
Data de Acesso | 25 abr. 2024 |
Tipo de Trabalho | journal article |
Tipo Secundário | PRE PI |
Número de Arquivos | 1 |
Tamanho | 6161 KiB |
|
2. Contextualização | |
Autor | 1 Adami, Marcos 2 Bernardes, Sérgio 3 Arai, Egidio 4 Freitas, Ramon M. 5 Shimabukuro, Yosio Edemir 6 Espírito-Santo, Fernando D. B. 7 Rudorff, Bernardo F. T. 8 Anderson, Liana O. |
Identificador de Curriculo | 1 2 3 8JMKD3MGP5W/3C9JGUP 4 5 8JMKD3MGP5W/3C9JJCQ |
Grupo | 1 CRCRA-COCRE-INPE-MCTIC-GOV-BR 2 3 DIDSR-CGOBT-INPE-MCTIC-GOV-BR 4 5 DIDSR-CGOBT-INPE-MCTIC-GOV-BR |
Afiliação | 1 Instituto Nacional de Pesquisas Espaciais (INPE) 2 University of Georgia Athen 3 Instituto Nacional de Pesquisas Espaciais (INPE) 4 Aerial Photography & Imaging Science 5 Instituto Nacional de Pesquisas Espaciais (INPE) 6 Lancaster Environment Centre (LEC) 7 Agrosatélite Geotecnologia Aplicada Ltda 8 Centro Nacional de Monitoramento e Alertas de Desastres Naturais (CEMADEN) |
Endereço de e-Mail do Autor | 1 marcos.adami@inpe.br 2 3 egidio.arai@inpe.br 4 5 yosio.shimabukuro@inpe.br |
Revista | International Journal of Applied Earth Observation and Geoinformation |
Volume | 69 |
Páginas | 148-163 |
Nota Secundária | B1_GEOCIÊNCIAS |
Histórico (UTC) | 2018-06-19 04:38:27 :: lattes -> administrator :: 2018-06-19 11:34:31 :: administrator -> lattes :: 2018 2018-06-19 12:45:54 :: lattes -> administrator :: 2018 2018-06-20 15:45:57 :: administrator -> lattes :: 2018 2018-06-20 15:48:49 :: lattes -> administrator :: 2018 2019-01-14 17:09:18 :: administrator -> simone :: 2018 |
|
3. Conteúdo e estrutura | |
É a matriz ou uma cópia? | é a matriz |
Estágio do Conteúdo | concluido |
Transferível | 1 |
Tipo do Conteúdo | External Contribution |
Tipo de Versão | publisher |
Palavras-Chave | Vegetation dynamics Land cover Disturbance Phenology MODISSpectral mixing model Principal component analysis Time series |
Resumo | The development, implementation and enforcement of policies involving the rational use of the land and the conservation of natural resources depend on an adequate characterization and understanding of the land cover, including its dynamics. This paper presents an approach for monitoring vegetation dynamics using high-quality time series of MODIS surface reflectance data by generating fraction images using Linear Spectral Mixing Model (LSMM) over South America continent. The approach uses physically-based fraction images, which highlight target information and reduce data dimensionality. Further dimensionality was also reduced by using the vegetation fraction images as input to a Principal Component Analysis (PCA). The RGB composite of the first three PCA components, accounting for 92.9% of the dataset variability, showed good agreement with the main ecological regions of South America continent. The analysis of 21 temporal profiles of vegetation fraction values and precipitation data over South America showed the ability of vegetation fractions to represent phenological cycles over a variety of environments. Comparisons between vegetation fractions and precipitation data indicated the close relationship between water availability and leaf mass/chlorophyll content for several vegetation types. In addition, phenological changes and disturbance resulting from anthropogenic pressure were identified, particularly those associated with agricultural practices and forest removal. Therefore the proposed method supports the management of natural and non-natural ecosystems, and can contribute to the understanding of key conservation issues in South America, including deforestation, disturbance and fire occurrence and management. |
Área | SRE |
Arranjo | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > CRCRA > Seasonality of vegetation... |
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 | |
Idioma | en |
Arquivo Alvo | adami_seasonality.pdf |
Grupo de Leitores | administrator lattes |
Visibilidade | shown |
Política de Arquivamento | denypublisher denyfinaldraft24 |
Permissão de Leitura | deny from all and allow from 150.163 |
Permissão de Atualização | não transferida |
|
5. Fontes relacionadas | |
Unidades Imediatamente Superiores | 8JMKD3MGPCW/3ER446E 8JMKD3MGPCW/3EUAE4H |
Lista de Itens Citando | sid.inpe.br/bibdigital/2013/10.03.18.52 1 sid.inpe.br/bibdigital/2013/09.13.21.11 1 sid.inpe.br/mtc-m21/2012/07.13.14.45.03 1 |
Divulgação | WEBSCI; PORTALCAPES; SCOPUS. |
Acervo Hospedeiro | dpi.inpe.br/plutao@80/2008/08.19.15.01 |
|
6. Notas | |
Campos Vazios | alternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn lineage mark mirrorrepository month nextedition notes number orcid parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url usergroup |
|
7. Controle da descrição | |
e-Mail (login) | simone |
atualizar | |
|