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Metadados

1. Identificação
Tipo de ReferênciaArtigo em Evento (Conference Proceedings)
Sitemarte.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador3ERPFQRTBW/348NJUJ
Repositóriodpi.inpe.br/sbsr@80/2008/11.17.18.56.31
Última Atualização2009:04.17.02.29.00 (UTC) administrator
Repositório de Metadadosdpi.inpe.br/sbsr@80/2008/11.17.18.56.33
Última Atualização dos Metadados2022:07.07.03.46.45 (UTC) administrator
ISBN978-85-17-00044-7
Chave de CitaçãoAndersonAraSalLadMal:2009:UsLaIm
TítuloUsing Landsat images combined with field data for landscape evaluation in the Amazon
FormatoDVD, On-line.
Ano2009
Data de Acesso26 dez. 2024
Tipo SecundárioPRE CN
Número de Arquivos1
Tamanho1500 KiB
2. Contextualização
Autor1 Anderson, Liana Oighenstein
2 Aragão, Luiz Eduardo O. e C.
3 Salimon, Cleber
4 Ladle, Richard
5 Malhi, Yadvinder
Afiliação1 Environmental Change Institute, School of Geography, University of Oxford.
2 Environmental Change Institute, School of Geography, University of Oxford.
3 Centro de Ciências Biológicas e da Natureza, Universidade Federal do Acre
4 School of Geography, University of Oxford
5 Environmental Change Institute, School of Geography, University of Oxford.
Endereço de e-Mail do Autor1 liana.anderson@ouce.ox.ac.uk
2 luiz.aragao@ouce.ox.ac.uk
3 clebsal@gmail.com
4 richard.ladle@ouce.ox.ac.uk
5 yadvinder.malhi@ouce.ox.ac.uk
EditorEpiphanio, José Carlos Neves
Galvão, Lênio Soares
Endereço de e-Maillise@dpi.inpe.br
Nome do EventoSimpósio Brasileiro de Sensoriamento Remoto, 14 (SBSR)
Localização do EventoNatal
Data25-30 abr. 2009
Editora (Publisher)Instituto Nacional de Pesquisas Espaciais (INPE)
Cidade da EditoraSão José dos Campos
Páginas2523-2530
Título do LivroAnais
Tipo TerciárioArtigo
OrganizaçãoInstituto Nacional de Pesquisas Espaciais (INPE)
Histórico (UTC)2008-11-18 01:27:43 :: liana.anderson@gmail.com -> lise@dpi.inpe.br ::
2008-12-02 16:33:17 :: lise@dpi.inpe.br -> sbsr ::
2009-02-19 15:40:08 :: sbsr -> lise@dpi.inpe.br ::
2009-03-05 22:14:52 :: lise@dpi.inpe.br -> administrator ::
2009-04-06 15:38:23 :: administrator -> lise@dpi.inpe.br ::
2009-04-17 02:29:00 :: lise@dpi.inpe.br -> administrator ::
2009-08-05 01:58:24 :: administrator -> lise@dpi.inpe.br ::
2011-02-16 14:29:22 :: lise@dpi.inpe.br -> administrator ::
2022-07-07 03:46:45 :: administrator -> :: 2009
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Palavras-ChaveLandsat/ETM+
Landscape
above ground biomass
wood density
wood productivity
Amazon
ResumoLong term studies using on a network of forest plots have generated significant insights into the spatial and temporal dynamics of forest carbon cycling in Amazonia. However, bias in plot location within landscapes may be influencing the values obtained for the forest parameters. Here we use land cover maps and the spectral signature of each class generated based on Landsat data to evaluate the heterogeneity of the landscape within which the plot is embedded. In addition, we evaluate the regional variation in wood productivity, wood specific density and biomass revealed by the RAINFOR network taking into account the forest physiognomy mapped. Our methodology consisted of aggregating remote sensing data covering 24 field plots and generating landscape maps to identify the specific forest physiognomy of the plots. Then, we evaluated the spectral signature of the land cover classes. Finally, we analyzed three forest parameters to assess their representativeness with respect to the type and area of the landscape surrounding the plot. Our results showed that a great range of forest types were distinguishable in the Landsat data. We also showed that when you take into account the total area of the forest physiognomy in order to consider the data representativeness of the region, it is essential to consider the landscape, as the more heterogeneous the region, the more influence in the total calculation it presents. Finally, the spatial patterns of the forest biophysical parameters published by the RAINFOR are consistent with our results that take into account the landscape variability.
ÁreaSRE
TipoFloresta e Vegetação
Conteúdo da Pasta docacessar
Conteúdo da Pasta source
SBSR_2009_Andersonetal_SUB_FINAL.pdf 17/11/2008 23:27 1.4 MiB
Conteúdo da Pasta agreementnão têm arquivos
4. Condições de acesso e uso
URL dos dadoshttp://urlib.net/ibi/3ERPFQRTBW/348NJUJ
URL dos dados zipadoshttp://urlib.net/zip/3ERPFQRTBW/348NJUJ
Idiomaen
Arquivo Alvo2523-2530.pdf
Grupo de Usuáriosliana.anderson@gmail.com
lise@dpi.inpe.br
administrator
Grupo de Leitoresadministrator
liana.anderson@gmail.com
Visibilidadeshown
5. Fontes relacionadas
Repositório Espelhodpi.inpe.br/marte1@80/2009/05.26.17.02
Acervo Hospedeirodpi.inpe.br/netuno@1905/2006/07.17.20.18
dpi.inpe.br/banon/2003/12.10.19.30
6. Notas
Agência FinanciadoraCAPES, BECA-IEB.
Nota1
Campos Vaziosarchivingpolicy archivist callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage doi edition group issn label lineage nextedition nexthigherunit notes numberofvolumes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark serieseditor shorttitle tertiarymark url versiontype volume


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