1. Identificação | |
Tipo de Referência | Resumo em Evento (Conference Proceedings) |
Site | mtc-m16d.sid.inpe.br |
Código do Detentor | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
Identificador | 8JMKD3MGP7W/3CFAG75 |
Repositório | sid.inpe.br/mtc-m19/2012/08.17.16.35 |
Última Atualização | 2015:03.20.11.59.17 (UTC) administrator |
Repositório de Metadados | sid.inpe.br/mtc-m19/2012/08.17.16.35.38 |
Última Atualização dos Metadados | 2018:06.05.04.12.52 (UTC) administrator |
Chave Secundária | INPE--PRE/ |
Chave de Citação | AguiarRudAdaMelSan:2012:DiImEs |
Título | Digital Images to Estimate Degraded Pasture Levels |
Ano | 2012 |
Data de Acesso | 13 maio 2024 |
Tipo Secundário | PRE CI |
Número de Arquivos | 1 |
Tamanho | 6 KiB |
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2. Contextualização | |
Autor | 1 Aguiar, Daniel Alves 2 Rudorff, Bernardo Friedrich Theodor 3 Adami, Marcos 4 Mello, Marcio Pupin 5 Santos, Juliana de Souza |
Identificador de Curriculo | 1 2 8JMKD3MGP5W/3C9JGKP |
Grupo | 1 DSR-OBT-INPE-MCTI-GOV-BR 2 DSR-OBT-INPE-MCTI-GOV-BR 3 DSR-OBT-INPE-MCTI-GOV-BR 4 DSR-OBT-INPE-MCTI-GOV-BR 5 DSR-OBT-INPE-MCTI-GOV-BR |
Afiliação | 1 Instituto Nacional de Pesquisas Espaciais (INPE) 2 Instituto Nacional de Pesquisas Espaciais (INPE) 3 Instituto Nacional de Pesquisas Espaciais (INPE) 4 Instituto Nacional de Pesquisas Espaciais (INPE) 5 Instituto Nacional de Pesquisas Espaciais (INPE) |
Endereço de e-Mail do Autor | 1 daniel@dsr.inpe.br 2 bernardo@ltid.inpe.br 3 marcos.adami@inpe.br 4 mello@dsr.inpe.br 5 julianass@dsr.inpe.br |
Endereço de e-Mail | marcelo.pazos@inpe.br |
Nome do Evento | EARSeL Symposium, 32 and General Assembly, 36. |
Título do Livro | Abstracts |
Histórico (UTC) | 2012-12-21 17:10:55 :: marcelo.pazos@sid.inpe.br -> administrator :: 2012 2018-06-05 04:12:52 :: administrator -> marcelo.pazos@inpe.br :: 2012 |
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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 | finaldraft |
Palavras-Chave | Fractional cover of photosynthetic vegetation fraction cover of non-photosynthetic vegetation bare soil digital camera images |
Resumo | Brazil has about 110 Mha of pasture land concentrated in the Cerrado and Amazon biomes, from which 70 Mha (63,3 per cent) are in the process of degradation or are already degraded. The adoption of good management practices improving the quality of these pastures increases the productivity of livestock with consequent release of land for food and energy crop expansion. Major causes of pasture degradation in tropical and subtropical climate are related to inadequate management of both pasture land and grazing, which are responsible for: the loss of pasture vigor, the exposure of bare soil, and the appearance of invasive plants. The assessment of pasture degradation levels using biophysical parameters and contextual information of the vegetation in not trivial, even at field level. Proximal sensing techniques might be a useful approach to assess the levels of pasture degradation. Therefore, a field campaign was carried out from September 26 to November 12, 2011, visiting 200 pasture samples in the Cerrado and Amazon biomes. For each visited sample the specie of pasture grass was identified along with measurements of biophysical parameters such as: plant height and dry biomass weight collected in three subsamples of 1 m2. Also three digital camera images were captured at 2 m above ground level in vertical position. The RGB (red, green blue) images will now be transformed into intensity, hue, and saturation (IHS) components. Slicing and non supervised classification techniques should be applied on the HIS components to estimate the fractional cover of photosynthetic vegetation, non-photosynthetic vegetation and bare soil. For each digital camera images, random samples will be selected and visually interpreted to evaluate the results from the slicing and classification procedures. With the estimated fractional cover of photosynthetic vegetation, non-photosynthetic vegetation and bare soil the pasture degradation levels should be evaluated. It is expected that this methodology will be expedite and precise to contribute in the evaluation of pasture degradation levels in tropical and subtropical climate. |
Área | SRE |
Conteúdo da Pasta doc | acessar |
Conteúdo da Pasta source | não têm arquivos |
Conteúdo da Pasta agreement | |
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4. Condições de acesso e uso | |
URL dos dados | http://urlib.net/ibi/8JMKD3MGP7W/3CFAG75 |
URL dos dados zipados | http://urlib.net/zip/8JMKD3MGP7W/3CFAG75 |
Arquivo Alvo | aguiar_digital.pdf |
Grupo de Usuários | marcelo.pazos@inpe.br |
Grupo de Leitores | administrator marcelo.pazos@inpe.br |
Visibilidade | shown |
Permissão de Leitura | allow from all |
Permissão de Atualização | não transferida |
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5. Fontes relacionadas | |
Vinculação | Trabalho Vinculado à Tese/Dissertação |
Repositório Espelho | sid.inpe.br/mtc-m19@80/2009/08.21.17.02.53 |
Unidades Imediatamente Superiores | 8JMKD3MGPCW/3ER446E |
Lista de Itens Citando | sid.inpe.br/mtc-m21/2012/07.13.14.41 1 |
Acervo Hospedeiro | sid.inpe.br/mtc-m19@80/2009/08.21.17.02 |
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6. Notas | |
Campos Vazios | archivingpolicy archivist callnumber conferencelocation copyholder copyright creatorhistory date descriptionlevel dissemination doi edition editor format isbn issn label language lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project publisher publisheraddress rightsholder schedulinginformation secondarydate secondarymark serieseditor session shorttitle sponsor subject tertiarytype type url volume |
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7. Controle da descrição | |
e-Mail (login) | marcelo.pazos@inpe.br |
atualizar | |
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