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 | J8LNKAN8RW/39RS9KD |
Repositório | dpi.inpe.br/plutao/2011/06.11.13.32.26 |
Última Atualização | 2012:01.31.12.34.35 (UTC) administrator |
Repositório de Metadados | dpi.inpe.br/plutao/2011/06.11.13.32.27 |
Última Atualização dos Metadados | 2018:06.05.00.01.20 (UTC) administrator |
Chave Secundária | INPE--PRE/ |
DOI | 10.1175/2010EI372.1 |
ISSN | 1087-3562 |
Rótulo | lattes: 5507769922001047 3 NumataCochGalv:2011:AnImFr |
Chave de Citação | NumataCochGalv:2011:AnImFr |
Título | Analyzing the Impacts of Frequency and Severity of Forest Fire on the Recovery of Disturbed Forest using Landsat Time Series and EO-1 Hyperion in the Southern Brazilian Amazon |
Projeto | Biological Diversity Program of the Earth Science Division of the NASA Science Mission Directorate (NNX07AF16G). |
Ano | 2011 |
Mês | May |
Data de Acesso | 10 maio 2024 |
Tipo Secundário | PRE PI |
Número de Arquivos | 1 |
Tamanho | 708 KiB |
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2. Contextualização | |
Autor | 1 Numata, Izaya 2 Cochrane, Mark A. 3 Galvao, Lenio Soares |
Identificador de Curriculo | 1 2 3 8JMKD3MGP5W/3C9JHLF |
Grupo | 1 2 3 DSR-OBT-INPE-MCT-BR |
Afiliação | 1 S Dakota State Univ, GIScCE, Brookings, SD 57007 USA 2 S Dakota State Univ, GIScCE, Brookings, SD 57007 USA 3 Instituto Nacional de Pesquisas Espaciais (INPE) |
Endereço de e-Mail do Autor | 1 2 3 lenio@dsr.inpe.br |
Endereço de e-Mail | lenio@dsr.inpe.br |
Revista | Earth Interactions |
Volume | 15 |
Número | 13 |
Páginas | 1-17 |
Nota Secundária | B2_BIOTECNOLOGIA A2_CIÊNCIAS_AGRÁRIAS_I A2_CIÊNCIAS_BIOLÓGICAS_I A2_ECOLOGIA_E_MEIO_AMBIENTE A2_GEOCIÊNCIAS B1_GEOGRAFIA A1_INTERDISCIPLINAR |
Histórico (UTC) | 2011-06-11 17:43:46 :: lattes -> marciana :: 2011 2012-01-31 12:34:35 :: marciana -> administrator :: 2011 2018-06-05 00:01:20 :: administrator -> marciana :: 2011 |
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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 |
Palavras-Chave | Amazon forest disturbance Hyperspectral Remote Sensing Hyperion IMAGING SPECTROSCOPY TROPICAL FORESTS EASTERN AMAZON INDEX REFLECTANCE CLASSIFICATION DEFORESTATION EFFICIENCY LANDSCAPE MODELS |
Resumo | Estimation of fire impacts and forest recovery using remote sensing is difficult because of the heterogeneity of fire history (frequency, severity, and time since last fire) across burned forest landscapes. The authors analyzed impacts of fire frequency and severity within recovering forests in the Amazon region using remote sensing. A multispectral Landsat time series dataset was used to reconstruct the fire history from 1990 to 2002 in a portion of Mato Grosso, Brazil. Five narrowband vegetation indices were then calculated from a hyperspectral Earth Observing One (EO-1) Hyperion image for spectral analysis of physiological characteristics of fire-disturbed forests and their recovery. A total of 30% of the forests burned during the study period, with 72% burned once, 24% burned twice, and less than 4% burned three times. In terms of severity, 70% of burned forest was lightly burned, 21.1% was moderately burned, and 9.1% was severely burned. Analyses of spectral indices [normalized difference vegetation index (NDVI), carotenoid reflectance index (CRI), and photochemical reflectance index (PRI)] showed that those related to canopy greenness and pigment contents can discriminate between burned forests and undisturbed forest for the first 3 years after forest fire, whereas the effectiveness of canopy water content indices [normalized difference water index (NDWI) and normalized difference infrared index (NDII)] varied from 1 to 3 years, depending on the fire severity. Despite the relatively low signal-to-noise ratios of Hyperion imagery, we show that narrowband-derived indices provide useful information for monitoring degraded forests beyond what is currently possible with Landsat. This illustrates the great potential for environmental monitoring using satellite-borne hyperspectral sensors, such as the Hyperspectral Infrared Imager (HyspIRI), which have better signal-to-noise ratios. |
Área | SRE |
Arranjo | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Analyzing the Impacts... |
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 | |
URL dos dados | http://urlib.net/ibi/J8LNKAN8RW/39RS9KD |
URL dos dados zipados | http://urlib.net/zip/J8LNKAN8RW/39RS9KD |
Idioma | en |
Grupo de Usuários | administrator lattes marciana |
Visibilidade | shown |
Política de Arquivamento | denypublisher6 allowfinaldraft |
Permissão de Leitura | allow from all |
Permissão de Atualização | não transferida |
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5. Fontes relacionadas | |
Unidades Imediatamente Superiores | 8JMKD3MGPCW/3ER446E |
URL (dados não confiáveis) | http://journals.ametsoc.org/doi/abs/10.1175/2010EI372.1 |
Divulgação | WEBSCI; PORTALCAPES; MGA. |
Acervo Hospedeiro | dpi.inpe.br/plutao@80/2008/08.19.15.01 |
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6. Notas | |
Campos Vazios | alternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel format isbn lineage mark mirrorrepository nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress readergroup rightsholder schedulinginformation secondarydate session shorttitle sponsor subject targetfile tertiarymark tertiarytype typeofwork versiontype |
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7. Controle da descrição | |
e-Mail (login) | marciana |
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