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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
Repositórioltid.inpe.br/sbsr/2004/11.20.14.29
Última Atualização2005:03.21.12.47.50 (UTC) administrator
Repositório de Metadadosltid.inpe.br/sbsr/2004/11.20.14.29.50
Última Atualização dos Metadados2018:06.06.02.42.32 (UTC) administrator
Chave SecundáriaINPE-12624-PRE/7917
ISBN85-17-00018-8
Chave de CitaçãoPettaOharMede:2005:DeStBr
TítuloDesertification studies in the brazilian northeastern areas with GIS database
FormatoCD-ROM, On-line.
Ano2005
Data de Acesso11 maio 2024
Tipo SecundárioPRE CN
Número de Arquivos1
Tamanho4209 KiB
2. Contextualização
Autor1 Petta, Reinaldo Antônio
2 Ohara, Tomoyuki
3 Medeiros, Cleyber Nascimento de
Identificador de Curriculo1
2 8JMKD3MGP5W/3C9JJA8
Grupo1 DSR-INPE-MCT-BR
2 DSR-INPE-MCT-BR
Afiliação1 Universidade Federal do Rio Grande do Norte (UFRN). Departamento de Geologia.
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Universidade Federal do Rio Grande do Norte (UFRN). Departamento de Geologia.
Endereço de e-Mail do Autor1
2 ohara@ltid.inpe.br
EditorEpiphanio, José Carlos Neves
Fonseca, Leila Maria Garcia
Endereço de e-Mailpetta@geologia.ufrn.br
Nome do EventoSimpósio Brasileiro de Sensoriamento Remoto, 12 (SBSR)
Localização do EventoGoiânia
Data16-21 abr. 2005
Editora (Publisher)INPE
Cidade da EditoraSão José dos Campos
Páginas1053-1062
Título do LivroAnais
Tipo TerciárioArtigos
OrganizaçãoInstituto Nacional de Pesquisas Espaciais
Histórico (UTC)2005-06-21 14:17:28 :: sbsr -> administrator ::
2009-06-03 16:00:53 :: administrator -> sbsr ::
2009-06-30 14:25:58 :: sbsr -> erich@sid.inpe.br ::
2010-05-14 02:46:31 :: erich@sid.inpe.br -> marciana ::
2011-02-16 13:59:52 :: marciana -> administrator :: 2005
2018-06-06 02:42:32 :: administrator -> :: 2005
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Palavras-ChaveCBERS-2
CCD
Caatinga vegetation
seasonal vegetation behavior
vegetação da Caatinga
comportamento sazonal da vegetação
ResumoThis paper provides spatial and georeferenced information related to the susceptibility to desertification of several areas of the Northeast of Brazil. We aim to test the usefulness of spatial analysis methodologies to capture spatial-temporal heterogeneity from environmental gradients, for the assessment of desertification process at Remote Sensing data. In this sense, the analysis and integration of geo-environmental variables and the creation of environmental indicators associated with the development of the desertification process was performed, based on the use of spatial modeling procedures applied to data from the semi-arid portion of the Northeastern Brazil region. A set of sixteen-year period of Landsat 5-TM and Landsat 7 ETM+ images were explored for vegetation and soil study and local analysis of association and variability of spectral data were performed. The integration of the georeferenced data, related to these indicators, allowed the identification of five different levels of susceptibility to desertification (very high, high, moderate, low and very low), and the geographic domain of each class. Based on the analysis of the dynamics of the vegetation cover and on the evaluation of field data, we can establish that the main results refer that there is a decrease of the biomass at the region, associated either with the dense caatinga vegetation areas, but more important, with the scrub and degraded areas. From an environmental perspective, the decreasing biomass level associated with scrub and degraded areas are according to the negative feedbacks of the desertification process. Considering the last ten-year periods of comparisons, the spatial variances leave almost different, which means that heterogeneity pattern, is increasing very considerably. This fact means an explicit expansion of spatial heterogeneity of the desertification landscapes, during the last years. KeyWords: Desertification, Environmental Indicators, Environmental Analysis, Susceptibility, Geoprocessing, Geographic Information Systems (GIS), Spatial Modeling, Semi-arid, Northeastern region, Seridó, Rio Grande do Norte, Brazil.
ÁreaSRE
TipoAvaliação e Aplicações do CBERS
Arranjourlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Desertification studies in...
Conteúdo da Pasta docacessar
Conteúdo da Pasta source
Desertification (OK).doc 20/11/2004 14:29 8.9 MiB
Conteúdo da Pasta agreementnão têm arquivos
4. Condições de acesso e uso
URL dos dadoshttp://urlib.net/ibi/ltid.inpe.br/sbsr/2004/11.20.14.29
URL dos dados zipadoshttp://urlib.net/zip/ltid.inpe.br/sbsr/2004/11.20.14.29
IdiomaInglês
Arquivo Alvo1053.pdf
Grupo de Usuáriosadministrator
erich@sid.inpe.br
Visibilidadeshown
5. Fontes relacionadas
Repositório Espelhodpi.inpe.br/marte@80/2007/10.17.19.59
Unidades Imediatamente Superiores8JMKD3MGPCW/3ER446E
Acervo Hospedeirodpi.inpe.br/banon/2003/12.10.19.30
6. Notas
Nota1
Campos Vaziosarchivingpolicy archivist callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage doi edition identifier issn label lineage nextedition notes numberofvolumes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission rightsholder schedulinginformation secondarydate secondarymark serieseditor session shorttitle sponsor subject tertiarymark url versiontype volume


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