1. Identificação | |
Tipo de Referência | Artigo em Revista Científica (Journal Article) |
Site | mtc-m21c.sid.inpe.br |
Código do Detentor | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
Identificador | 8JMKD3MGP3W34R/43H6RG5 |
Repositório | sid.inpe.br/mtc-m21c/2020/11.04.12.23 (acesso restrito) |
Última Atualização | 2020:11.04.12.23.54 (UTC) simone |
Repositório de Metadados | sid.inpe.br/mtc-m21c/2020/11.04.12.23.54 |
Última Atualização dos Metadados | 2022:01.04.01.35.33 (UTC) administrator |
DOI | 10.1016/j.rsase.2020.100414 |
ISSN | 2352-9385 |
Chave de Citação | PrudenteMaViSiAdSa:2020:LiClCo |
Título | Limitations of cloud cover for optical remote sensing of agricultural areas across South America |
Ano | 2020 |
Mês | Nov. |
Data de Acesso | 26 jun. 2024 |
Tipo de Trabalho | journal article |
Tipo Secundário | PRE PI |
Número de Arquivos | 1 |
Tamanho | 15779 KiB |
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2. Contextualização | |
Autor | 1 Prudente, Victor Hugo Rohden 2 Martins, Vitor Souza 3 Vieira, Denis Corte 4 Silva, Nildson Rodrigues de França 5 Adami, Marcos 6 Sanches, Ieda Del'Arco |
Grupo | 1 SER-SRE-SESPG-INPE-MCTIC-GOV-BR 2 3 SER-SRE-SESPG-INPE-MCTIC-GOV-BR 4 SER-SRE-SESPG-INPE-MCTIC-GOV-BR 5 CRCRA-COCRE-INPE-MCTIC-GOV-BR 6 DIDSR-CGOBT-INPE-MCTIC-GOV-BR |
Afiliação | 1 Instituto Nacional de Pesquisas Espaciais (INPE) 2 Iowa State University 3 Instituto Nacional de Pesquisas Espaciais (INPE) 4 Instituto Nacional de Pesquisas Espaciais (INPE) 5 Instituto Nacional de Pesquisas Espaciais (INPE) 6 Instituto Nacional de Pesquisas Espaciais (INPE) |
Endereço de e-Mail do Autor | 1 victor.prudente@inpe.br 2 3 denis.vieira@inpe.br 4 nildson.silva@inpe.br 5 marcos.adami@inpe.br 6 ieda.sanches@inpe.br |
Revista | Remote Sensing Applications: Society and Environment |
Volume | 20 |
Páginas | e100414 |
Histórico (UTC) | 2020-11-04 12:24:20 :: simone -> administrator :: 2020 2022-01-04 01:35:33 :: administrator -> simone :: 2020 |
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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 | Crop monitoring Optical data Cloud frequency MAIAC |
Resumo | Earth Observation data support the large-scale monitoring of croplands across South America (SA). For instance, optical remote sensing (ORS) data are typically used to map and monitor plant development during a crop season. However, the monitoring of agricultural areas is highly affected by cloud cover frequency (CCF), especially in the rainy season, and the implications of cloud cover for ORS of agricultural areas are still poorly understood in SA. In this study we evaluated the monthly CCF and variability focused on implications for agricultural monitoring in SA. Cloud cover was derived from daily MCD19A2 Collection 6 Moderate Resolution Imaging Spectroradiometer (MODIS) product between 2000 and 2015. A monthly average was computed using daily observations for the studied period. To evaluate the effects of clouds in agricultural areas, we used a cropland mask from the Worldwide Croplands project and divided the CCF into quarters. The results show that cloud cover affects the monitoring of croplands depending on geographic location and crop season. In the P1 period (September to November) 68% of South American croplands have CCF between 40% and 60%. In the P2 period (December and February), SA croplands have CCF concentrated in the classes of 40%50% and 70%80%. In the P3 period (March to May) 42% of SA croplands have CCF concentration in class 5 (40-50% of cloud cover). In the P4 period (June to August), we observed values from 30% to 60% of cloud cover in 41% of South American croplands. These patterns make summer crop monitoring via ORS data difficult, mainly soybean and maize. In this sense, for the Brazilian states of Mato Grosso, Goias, Bahia, Tocantins, and Parana, the use of ORS is limited in providing an accurate summer crop monitoring. While cloud cover is an intrinsic challenge for agricultural monitoring of some crops, the combination of multi-sensors (e.g. microwave and optical sensors) and CubeSats can improve the earth observation frequency and help to work around this limitation, thus enabling a better time series analysis. |
Área | SRE |
Arranjo 1 | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Limitations of cloud... |
Arranjo 2 | urlib.net > CRCRA > Limitations of cloud... |
Arranjo 3 | urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > SER > Limitations of cloud... |
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 | |
Idioma | en |
Arquivo Alvo | prudente_limitations.pdf |
Grupo de Usuários | simone |
Grupo de Leitores | administrator simone |
Visibilidade | shown |
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 8JMKD3MGPCW/3EUAE4H 8JMKD3MGPCW/3F3NU5S |
Lista de Itens Citando | sid.inpe.br/bibdigital/2013/09.13.21.11 5 sid.inpe.br/bibdigital/2013/10.03.18.52 4 sid.inpe.br/bibdigital/2013/10.18.22.34 2 |
Divulgação | PORTALCAPES; SCOPUS. |
Acervo Hospedeiro | urlib.net/www/2017/11.22.19.04 |
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6. Notas | |
Campos Vazios | alternatejournal archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark mirrorrepository nextedition notes number orcid parameterlist parentrepositories previousedition previouslowerunit progress project resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark session shorttitle sponsor subject tertiarymark tertiarytype url |
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7. Controle da descrição | |
e-Mail (login) | simone |
atualizar | |
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