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1. Identificação
Tipo de ReferênciaePrint (Electronic Source)
Sitemtc-m16b.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Repositóriosid.inpe.br/mtc-m17@80/2007/12.07.18.06
Última Atualização2007:12.07.18.06.54 (UTC) administrator
Repositório de Metadadossid.inpe.br/mtc-m17@80/2007/12.07.18.06.52
Última Atualização dos Metadados2018:06.05.04.02.21 (UTC) administrator
Chave de CitaçãoNumataRoChScGaSo::EvHyDa
TítuloEvaluation of hyperspectral data for pasture estimate in the Brazilian Amazon using imaging spectrometers
Data da Última Atualização2007-12-08
Data de Acesso05 jun. 2024
Tipo de SuporteOn-line
Número de Arquivos1
Tamanho2211 KiB
2. Contextualização
Autor1 Numata, Izaya
2 Roberts, Dar
3 Chadwick, Oliver A.
4 Schimel, Josh
5 Galvão, Leonio
6 Soares, J. V.
Grupo1
2
3
4
5
6 DSR-INPE-MCT-BR
Afiliação1
2
3
4
5
6 Instituto Nacional de Pesquisas Espaciais (INPE)
ProdutorInstituto Nacional de Pesquisas Espaciais
CidadeSão José dos Campos
Estágio da Publicação Alternativaaccepted
AvançoePrint update
Histórico (UTC)2007-12-07 18:06:54 :: marcia@dsr.inpe.br -> administrator ::
2018-06-05 04:02:21 :: administrator -> marcia@dsr.inpe.br ::
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoem andamento
Transferível1
Palavras-ChavePasture biophysical characterization
Spectral absorption features
Hyperion
Spectral mixture analysis
Amazon
ResumoWe used two hyperspectral sensors at two different scales to test their potential to estimate biophysical properties of grazed pastures in Rondônia in the Brazilian Amazon. Using a field spectrometer, ten remotely sensed measurements (i.e., two vegetation indices, four fractions of spectral mixture analysis, and four spectral absorption features) were generated for two grass species, Brachiaria brizantha and Brachiaria decumbens. These measures were compared to above ground biomass, live and senesced biomass, and grass canopy water content. The sample size was 69 samples for field grass biophysical data and grass canopy reflectance. Water absorption measures between 1100 and 1250 nm had the highest correlations with above ground biomass, live biomass and canopy water content, while ligno-cellulose absorption measures between 2045 and 2218 nm were the best for estimating senesced biomass. These results suggest possible improvements on estimating grass measures using spectral absorption features derived from hyperspectral sensors. However, relationships were highly influenced by grass species architecture. B. decumbens, a more homogeneous, low growing species, had higher correlations between remotely sensed measures and biomass than B. brizantha, a more heterogeneous, vertically oriented species. The potential of using the Earth Observing-1 Hyperion data for pasture characterization was assessed and validated using field spectrometer and CCD camera data. Hyperion-derived NPV fraction provided better estimates of grass surface fraction compared to fractions generated from convolved ETM+/Landsat 7 data and minimized the problem of spectral ambiguity between NPV and Soil. The results suggest possible improvement of the quality of land-cover maps compared to maps made using multispectral sensors for the Amazon region. © 2007 Elsevier Inc. All rights reserved.
ÁreaSRE
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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/sid.inpe.br/mtc-m17@80/2007/12.07.18.06
URL dos dados zipadoshttp://urlib.net/zip/sid.inpe.br/mtc-m17@80/2007/12.07.18.06
Idiomaen
Arquivo Alvov1.pdf
Grupo de Usuáriosadministrator
marcia@dsr.inpe.br
administrator
Visibilidadeshown
Permissão de Atualizaçãotransferida para ePrint update
5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/3ER446E
Acervo Hospedeirolcp.inpe.br/ignes/2004/02.12.18.39
cptec.inpe.br/walmeida/2003/04.25.17.12
6. Notas
Campos Vaziosaccessyear alternatepublication archivingpolicy archivist contenttype copyholder copyright creatorhistory descriptionlevel dissemination doi e-mailaddress edition electronicmailaddress format identifier isbn issn label lineage mark mirrorrepository nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark secondarytype session shorttitle sponsor subject tertiarymark tertiarytype url versiontype year
7. Controle da descrição
e-Mail (login)marcia@dsr.inpe.br
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