| 1. Identificação | |
| Tipo de Referência | Artigo em Evento (Conference Proceedings) |
| Site | mtc-m12.sid.inpe.br |
| Código do Detentor | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
| Identificador | 6qtX3pFwXQZ3r59YD6/GPA2q |
| Repositório | sid.inpe.br/iris@1912/2005/07.21.00.17.01 (acesso restrito) |
| Última Atualização | 2016:03.09.14.42.58 (UTC) marciana |
| Repositório de Metadados | sid.inpe.br/iris@1912/2005/07.21.00.17.02 |
| Última Atualização dos Metadados | 2018:06.05.00.40.21 (UTC) administrator |
| Chave Secundária | INPE-8516-PRE/4267 |
| Rótulo | 9491 |
| Chave de Citação | MouraFormEpip:2000:TMDaPr |
| Título | TM/Landsat-5 data from pre crop season to estimation the area to be planet with summer crops  |
| Ano | 2000 |
| Data de Acesso | 10 maio 2024 |
| Tipo Secundário | PRE CI |
| Número de Arquivos | 1 |
| Tamanho | 4189 KiB |
| 2. Contextualização | |
| Autor | 1 Moura, V. 2 Formaggio, Antonio Rroberto 3 Epiphanio, José Carlos Neves |
| Grupo | 1 DSR-INPE-MCT-BR 2 DSR-INPE-MCT-BR 3 DSR-INPE-MCT-BR |
| Nome do Evento | SELPER. |
| Localização do Evento | Puerto Iguazú, AR |
| Data | Simposio Latinoamericano de Percepcion Remota, 9 |
| Título do Livro | Proceedings |
| Histórico (UTC) | 2008-06-09 22:14:35 :: administrator -> jefferson :: 2010-07-07 19:05:39 :: jefferson -> administrator :: 2015-04-24 14:28:34 :: administrator -> marciana :: 2000 2016-03-09 14:42:58 :: marciana -> administrator :: 2000 2016-06-04 23:29:42 :: administrator -> marciana :: 2000 2016-10-14 13:29:46 :: marciana -> administrator :: 2000 2018-06-05 00:40:21 :: administrator -> marciana :: 2000 |
| 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 | AGRONOMIA levantamento de safras usando sensoriamento remoto uso da terra sistemas de informação geográfica SIG mapeador tematico (Landsat) crop inventories by remote sensing (AgRISTAR Project) land use geographic information systems GIS Landsat 5 thematic mappers (Landsat) |
| Resumo | The estimate of the Area of Land to be planted with annual crops and its stratification by municipality are important variables in crop forecast. Nowadays in Brazil, these information are obtained by the Brazilian Institute of Geography and Statistics (IBGE)and published under the report Assessment of the Agricultural Production. Due to the high cloud cover in the main crop growing season (October to March)it is difficult to acquire good orbital images. Thus, one alternative is to work with remote sensing data from dates before the crop growing season. This work presents the use of multitemporal TM/Landsat-5 data gathered on July and September of 1998 (before the summer growing season)in order to estimate the area of land to be planted with summer crops in an area of São Paulo State, Brazil. Geographic Information Systems (GIS)and digital image processing techniques were applied for treatment of the available data. Supervised and non-supervised classifications were used for data in digital number and reflectance formats and for the multitemporal Normalized Difference Vegetation Index (NDVI)images. The objective was to discriminate the tracts with higher probability to become planted with summer crops. Classification accuracy were evaluated using a sampling system developed basically for this study region. The estimated areas were corrected using the error matrix derived from these evaluations. The classification techniques presented an excellent level according to the kappa index. The proportion of crops stratified by municipalities was derived by a field work during the crop growing season. These proportion coefficients were applied onto the area of land to be planted with summer crops (derived from TM/Landsat-5 data). Thus, it was possible to derive the area of each summer crop by municipality. The discrepancies between official statistics and our results were attributed to the sampling and to the stratification procedures. Nevertheless, this methodology can be improved in order to provide good crop area estimates using remote sensing data, despite the cloud cover during the growing season. |
| Área | SRE |
| Arranjo | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > TM/Landsat-5 data from... |
| Conteúdo da Pasta doc | acessar |
| Conteúdo da Pasta source | não têm arquivos |
| Conteúdo da Pasta agreement | não têm arquivos |
| 4. Condições de acesso e uso | |
| Idioma | en |
| Arquivo Alvo | INPE 8516.pdf |
| Grupo de Usuários | administrator marciana |
| Grupo de Leitores | administrator marciana |
| Visibilidade | shown |
| Permissão de Leitura | deny from all |
| Permissão de Atualização | não transferida |
| 5. Fontes relacionadas | |
| Unidades Imediatamente Superiores | 8JMKD3MGPCW/3ER446E |
| Acervo Hospedeiro | sid.inpe.br/banon/2001/04.06.10.52 |
| 6. Notas | |
| Campos Vazios | affiliation archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel dissemination doi e-mailaddress edition editor electronicmailaddress format isbn issn lineage mark mirrorrepository nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project publisher publisheraddress resumeid rightsholder schedulinginformation secondarydate secondarymark serieseditor session shorttitle sponsor subject tertiarymark tertiarytype type url volume |
| 7. Controle da descrição | |
| e-Mail (login) | marciana |
| atualizar | |