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/472G5DP |
Repositório | sid.inpe.br/mtc-m21d/2022/06.01.15.53 (acesso restrito) |
Última Atualização | 2022:06.01.15.53.50 (UTC) simone |
Repositório de Metadados | sid.inpe.br/mtc-m21d/2022/06.01.15.53.50 |
Última Atualização dos Metadados | 2023:01.03.16.46.07 (UTC) administrator |
DOI | 10.1016/j.rsase.2022.100764 |
ISSN | 2352-9385 |
Chave de Citação | RuizGaBrSiBoJa:2022:CoUsPh |
Título | On the combined use of phenological metrics derived from different PlanetScope vegetation indices for classifying savannas in Brazil |
Ano | 2022 |
Data de Acesso | 16 maio 2024 |
Tipo de Trabalho | journal article |
Tipo Secundário | PRE PI |
Número de Arquivos | 1 |
Tamanho | 15510 KiB |
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2. Contextualização | |
Autor | 1 Ruiz, Isadora Haddad 2 Galvão, Lênio Soares 3 Breunig, Fábio Marcelo 4 Silva, Ricardo Dalagnol 5 Bourscheidt, Vandoir 6 Jacon, Aline Daniele |
Identificador de Curriculo | 1 2 8JMKD3MGP5W/3C9JHLF |
Grupo | 1 SER-SRE-DIPGR-INPE-MCTI-GOV-BR 2 DIOTG-CGCT-INPE-MCTI-GOV-BR 3 4 5 6 SER-SRE-DIPGR-INPE-MCTI-GOV-BR |
Afiliação | 1 Instituto Nacional de Pesquisas Espaciais (INPE) 2 Instituto Nacional de Pesquisas Espaciais (INPE) 3 Universidade Federal de Santa Maria (UFSM) 4 5 Universidade Federal de S˜ao Carlos (UFSCar) 6 Instituto Nacional de Pesquisas Espaciais (INPE) |
Endereço de e-Mail do Autor | 1 isadora.rhaddad@gmail.com 2 lenio.galvao@hotmail.com 3 4 ricds@hotmail.com 5 6 alinejacon@hotmail.com |
Revista | Remote Sensing Applications: Society and Environment |
Volume | 26 |
Páginas | e100764 |
Histórico (UTC) | 2022-06-01 15:53:50 :: simone -> administrator :: 2022-06-01 16:34:40 :: administrator -> simone :: 2022 2022-06-01 17:25:35 :: simone -> administrator :: 2022 2023-01-03 16:46:07 :: 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 | Land Surface Phenology Dry season Ensemble metrics Random Forest Savannas EVI NDVI |
Resumo | Mapping of savannas in Brazil is challenging since there is no consensus on the best remote sensing strategy to deal with the spatial variability of some physiognomies and the spectral similarity of others. In this study, we evaluated the performance of 12 land surface phenology (LSP) metrics calculated from 70 cloud-free PlanetScope (PS) satellite images and three vegetation indices (VIs) for Random Forest (RF) classification of eight savanna physiognomies. The 12 LSP metrics were: the start (SOS), end (EOS), length (LOS), and mean (MGS) of greening season; the mean spring (MSP) and mean autumn (MAU); the VI peak (PEAK) and trough (TRG); the positions of the peak (POP) and trough (POT); and the rates of spring green-up (RSP) and autumn senescence (RAU). These metrics were calculated from the Green-Red Normalized Difference (GRND), Enhanced vegetation Index (EVI), and Normalized Difference Vegetation Index (NDVI). At the protected Ecological Station of ´Aguas Emendadas (ESAE) in central Brazil, we compared the LSP classification in the 20172018 seasonal cycle against the VI classification in the 2017 dry season using an existent reference vegetation map for accuracy assessment. Furthermore, we analyzed the performance of the individual and combined sets of VIs and their derived LSP metrics for RF classification of the savanna physiognomies. The results showed that LSP added gains of 19.3% (EVI), 13.1% (NDVI), and 5.4% (GRND) to dry-season VI classification. The overall accuracies of the individual and combined sets of VIs and their retrieved LSP metrics generated gains of 22.8% and 28.1% in relation to the dryseason EVI. In the classification combining LSP metrics, the most important ranked predictors originated from the NDVI and EVI (e.g., TRG, PEAK, MSP, MGS, and RSP). Our findings highlight the importance of the combined use of high spatial and temporal resolution data of the Planets satellite constellation for the classification of Brazilian savannas leveraging the information retrieved from vegetation phenology. However, when dense time series of a given sensor are not available for retrieving the phenological metrics, an alternative is to use combinedly different VIs calculated in the dry season, when the frequency of cloud cover is reduced over Brazilian savanna areas. |
Área | SRE |
Arranjo 1 | urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > SER > On the combined... |
Arranjo 2 | urlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGCT > On the combined... |
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 | [2022]HADDAD.et.al..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/2013/10.18.22.34 3 sid.inpe.br/mtc-m21/2012/07.13.14.53.28 2 sid.inpe.br/bibdigital/2022/04.03.22.23 1 |
Divulgação | 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 month nextedition notes number orcid parameterlist parentrepositories previousedition previouslowerunit progress project 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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