1. Identificação | |
Tipo de Referência | Artigo em Revista Científica (Journal Article) |
Site | mtc-m21d.sid.inpe.br |
Código do Detentor | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
Identificador | 8JMKD3MGP3W34T/46T8LSP |
Repositório | sid.inpe.br/mtc-m21d/2022/05.18.16.02 (acesso restrito) |
Última Atualização | 2022:05.18.16.02.16 (UTC) simone |
Repositório de Metadados | sid.inpe.br/mtc-m21d/2022/05.18.16.02.16 |
Última Atualização dos Metadados | 2023:01.03.16.46.06 (UTC) administrator |
DOI | 10.1016/j.ufug.2022.127583 |
ISSN | 1618-8667 |
Chave de Citação | EscobarSilvaBoDaKiBaCh:2022:CaStBa |
Título | A general grass growth model for urban green spaces management in tropical regions: A case study with bahiagrass in southeastern Brazil |
Ano | 2022 |
Mês | July |
Data de Acesso | 10 maio 2024 |
Tipo de Trabalho | journal article |
Tipo Secundário | PRE PI |
Número de Arquivos | 1 |
Tamanho | 7861 KiB |
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2. Contextualização | |
Autor | 1 Escobar Silva, Elton Vicente 2 Bourscheidt, Vandoir 3 Daughtry, Craig S. T. 4 Kiniry, Jim R. 5 Backes, André R. 6 Chaves, Michel Eustáquio Dantas |
Grupo | 1 SER-SRE-DIPGR-INPE-MCTI-GOV-BR 2 3 4 5 6 DIOTG-CGCT-INPE-MCTI-GOV-BR |
Afiliação | 1 Instituto Nacional de Pesquisas Espaciais (INPE) 2 Universidade Federal de São Carlos (UFSCar) 3 United States Department of Agriculture (USDA) 4 United States Department of Agriculture (USDA) 5 United States Department of Agriculture (USDA) 6 Instituto Nacional de Pesquisas Espaciais (INPE) |
Endereço de e-Mail do Autor | 1 eltescobar@gmail.com 2 3 4 5 6 micheldchaves@gmail.com |
Revista | Urban Forestry and Urban Greening |
Volume | 73 |
Páginas | e127583 |
Histórico (UTC) | 2022-05-18 16:03:33 :: simone -> administrator :: 2022 2023-01-03 16:46:06 :: administrator -> simone :: 2022 |
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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 | Bahiagrass Public open spaces Urban planning Urban vegetation management Vegetation growth modeling |
Resumo | Urban green spaces (UGS) positively impact the population, providing essential ecosystem services and improving public health. Urban vegetation management needs to optimize mowing process costs and reducing impacts on the natural ecosystem. Thus, we implemented a general grass growth model suitable for UGS management in tropical areas, focused on lawns, public parks and squares, roadsides, and around waterways. The model incorporates local edaphoclimatic conditions to simulates the daily dynamics of leaf area index (LAI), biomass, evapotranspiration, and soil water content, going under mowing processes or not, with spatialization capability which might be integrated within geographic information system (GIS) environments. A case study assessing bahiagrass (Paspalum notatum Flüggé) vegetation species in São Carlos, southeastern Brazil, is presented, considering two scenarios to demonstrate the spatial capabilities of the model: (i) UGS as a single area, and (ii) several areas independently. For model validation, vegetation indices calculated based on data from an unmanned aerial vehicle (UAV) and CubeSat imagery (PlanetScope) were used to retrieve LAI time series, calibrated with spectral signatures from leaf ground sampling. For performance analysis, LAI time series from the model and LAI retrieved from both sensors were compared via determination coefficient (R2) and root mean square error (RMSE). Our findings suggest that the proposed model is accurate, and due to its spatialization capability and integration with a GIS, its application may help government administrations to optimize UGS mowing processes. |
Área | SRE |
Arranjo 1 | urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > SER > A general grass... |
Arranjo 2 | urlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGCT > A general grass... |
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 | Escobar_2022_general.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/3F3NU5S 8JMKD3MGPCW/46KUATE |
Lista de Itens Citando | sid.inpe.br/bibdigital/2022/04.03.22.23 2 sid.inpe.br/bibdigital/2013/10.18.22.34 2 |
Divulgação | WEBSCI; PORTALCAPES; SCOPUS. |
Acervo Hospedeiro | urlib.net/www/2021/06.04.03.40 |
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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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