1. Identificação | |
Tipo de Referência | Artigo em Revista Científica (Journal Article) |
Site | mtc-m16b.sid.inpe.br |
Código do Detentor | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
Identificador | 6qtX3pFwXQZGivnK2Y/SwpFt |
Repositório | sid.inpe.br/mtc-m17@80/2007/12.21.15.14 (acesso restrito) |
Última Atualização | 2015:01.20.12.45.22 (UTC) administrator |
Repositório de Metadados | sid.inpe.br/mtc-m17@80/2007/12.21.15.14.34 |
Última Atualização dos Metadados | 2018:06.05.03.36.52 (UTC) administrator |
Chave Secundária | INPE--PRE/ |
ISSN | 0267-8179 |
Chave de Citação | GalvaoFormCoutRobe:2007:ReThMi |
Título | Relationships between the Mineralogical and Chemical Composition of Tropical Soils and Topography from Hyperspectral Remote Sensing Data |
Ano | 2007 |
Mês | Nov. |
Data de Acesso | 12 maio 2024 |
Tipo de Trabalho | journal article |
Tipo Secundário | PRE PI |
Número de Arquivos | 1 |
Tamanho | 1191 KiB |
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2. Contextualização | |
Autor | 1 Galvao, L. S. 2 Formaggio, A. R 3 Couto, E. G 4 Roberts, D. A |
Grupo | 1 DSR-INPE-MCT-BR 2 DSR-INPE-MCT-BR |
Afiliação | 1 Instituto Nacional de Pesquisas Espaciais (INPE) 2 Instituto Nacional de Pesquisas Espaciais (INPE) 3 Universidade Federal de Mato Grosso (UFMT) 4 University of California, Geography Department |
Endereço de e-Mail do Autor | 1 lenio@dsr.inpe.b |
Revista | Journal of Quaternary Science |
Volume | 63 |
Páginas | 1-13 |
Histórico (UTC) | 2007-12-21 15:14:34 :: marciana -> banon :: 2010-05-10 18:41:15 :: banon -> administrator :: 2010-05-11 02:14:51 :: administrator -> marciana :: 2011-12-05 11:06:51 :: marciana -> administrator :: 2007 2015-01-17 22:34:46 :: administrator -> marciana :: 2007 2015-01-20 12:45:23 :: marciana -> administrator :: 2007 2018-06-05 03:36:52 :: administrator -> marciana :: 2007 |
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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 | Hyperspectral remote sensing Tropical soils AVIRIS Topography Mineral identification |
Resumo | Airborne VisibleLnfraRed Imaging Spectrometer (AVIRIS) data acquired in 1995 in the vicinity of Campo Verde, central Brazil, were analyzed to investigate the relationships between the mineralogical and chemical composition of different soil types and topography. Band depth analysis following the continuum removal separated areas of exposed soils from the other scene components. Principal component analysis (PCA) was applied to this subset of pixel spectra of exposed soils. The Spectral Feature Fitting (SFF) technique was used for mineral identification in the scene. Regression relationships between the silica/aluminum ratio and the absorption band depth values at 2210 nm (kaolinite) and 2260 nm (gibbsite), calculated from laboratory spectra after the continuum removal, were used to estimate the Ki index (1 .7Si02/A1203) in AVIRIS spectra, an indicator of the degree of soil weathering in soil surveys. Results were plotted over an Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER)-derived digital elevation model showing that several soil properties varied with surface elevation. Low reflectance soils (e.g., Rhodic Acrustox with negative first component (PC 1) scores, clay texture and higher organic carbon, Si02, A1203, Fe203 and Ti02 content) predominated at higher elevations and high reflectance soils (e.g., Ustic Quartzipsamments with positive PC I scores, sand texture and lower content of these constituents) at lower elevations. In some portions of the study area, soil composition changed gradually from Rhodic Acrustox at higher elevations to Xanthic Acrustox at lower elevations, or from lower average soil reflectance (negative PC1 scores) and deeper kaolinite absorption band to higher average soil reflectance (positive PC1 scores) and deeper gibbsite absorption band. When applied to AVIRIS data, the laboratory-derived relationship between the Ki index and the depth of the 2210 and 2260 nm absorption bands showed a good correspondence with spectral fits for kaolinite and gibbsite. Kaolinitic areas were associated with high Ki values due to a high Si02 and low A1203 content, whereas gibbsitic areas corresponded to low Ki values and highly weathered soil surfaces due to a low Si02 and high Al2O3 content. |
Área | SRE |
Arranjo | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Relationships between the... |
Conteúdo da Pasta doc | acessar |
Conteúdo da Pasta source | não têm arquivos |
Conteúdo da Pasta agreement | não têm arquivos |
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4. Condições de acesso e uso | |
Idioma | en |
Arquivo Alvo | Relationships between the mineralogical and chemical composition of tropical soils and topography from hyperspectral remote sensing data.pdf |
Grupo de Usuários | administrator banon marciana |
Grupo de Leitores | administrator marciana |
Visibilidade | shown |
Política de Arquivamento | denypublisher denyfinaldraft |
Permissão de Leitura | deny from all and allow from 150.163 |
Permissão de Atualização | não transferida |
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5. Fontes relacionadas | |
Unidades Imediatamente Superiores | 8JMKD3MGPCW/3ER446E |
Divulgação | WEBSCI; PORTALCAPES. |
Acervo Hospedeiro | lcp.inpe.br/ignes/2004/02.12.18.39 cptec.inpe.br/walmeida/2003/04.25.17.12 |
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6. Notas | |
Campos Vazios | alternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel doi e-mailaddress format isbn label lineage mark mirrorrepository nextedition notes number orcid parameterlist parentrepositories previousedition previouslowerunit progress project resumeid rightsholder schedulinginformation secondarydate secondarymark session shorttitle sponsor subject tertiarymark tertiarytype url |
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7. Controle da descrição | |
e-Mail (login) | marciana |
atualizar | |
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