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/4A6444S |
Repositório | sid.inpe.br/mtc-m21d/2023/11.03.17.55 (acesso restrito) |
Última Atualização | 2023:11.03.17.55.24 (UTC) simone |
Repositório de Metadados | sid.inpe.br/mtc-m21d/2023/11.03.17.55.24 |
Última Atualização dos Metadados | 2024:01.02.17.16.52 (UTC) administrator |
DOI | 10.1016/j.jhydrol.2023.130156 |
ISSN | 0022-1694 |
Chave de Citação | PaulinoMNMLBBU:2023:FrBaSp |
Título | A framework based on spectral similarity to estimate hydrological connectivity in Juruá River floodplain lakes using 3-m PlanetScope data |
Ano | 2023 |
Mês | Oct. |
Data de Acesso | 11 maio 2024 |
Tipo de Trabalho | journal article |
Tipo Secundário | PRE PI |
Número de Arquivos | 1 |
Tamanho | 16362 KiB |
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2. Contextualização | |
Autor | 1 Paulino, Rejane de Souza 2 Martins, Vitor S. 3 Novo, Evlyn Márcia Leão de Moraes 4 Maciel, Daniel Andrade 5 Lima, Deborah Lopes Correia 6 Barbosa, Cláudio Clemente Faria 7 Bonnet, Marie P. 8 Uhde, Antje |
Identificador de Curriculo | 1 2 3 8JMKD3MGP5W/3C9JH39 4 5 6 8JMKD3MGP5W/3C9JGSB |
Grupo | 1 SER-SRE-DIPGR-INPE-MCTI-GOV-BR 2 3 DIOTG-CGCT-INPE-MCTI-GOV-BR 4 DIOTG-CGCT-INPE-MCTI-GOV-BR 5 SER-SRE-DIPGR-INPE-MCTI-GOV-BR 6 DIOTG-CGCT-INPE-MCTI-GOV-BR |
Afiliação | 1 Instituto Nacional de Pesquisas Espaciais (INPE) 2 Mississippi State University (MSU) 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) 7 Institut de Recherche pour le Développement (IRD) 8 Friedrich Schiller University Jena |
Endereço de e-Mail do Autor | 1 rdp282@msstate.edu 2 vmartins@abe.msstate.edu 3 evlyn.novo@inpe.br 4 daniel.maciel@inpe.br 5 deborah.lima@inpe.br 6 claudio.barbosa@inpe.br 7 marie-paule.bonnet@ird.fr 8 antje.uhde@uni-jena.de |
Revista | Journal of Hydrology |
Volume | 625 |
Páginas | e130156 |
Nota Secundária | A1_INTERDISCIPLINAR A1_GEOGRAFIA A1_GEOCIÊNCIAS A1_ENGENHARIAS_III A1_ENGENHARIAS_I A1_CIÊNCIAS_AMBIENTAIS A1_CIÊNCIAS_AGRÁRIAS_I A2_MATEMÁTICA_/_PROBABILIDADE_E_ESTATÍSTICA A2_BIODIVERSIDADE B1_MEDICINA_I B1_CIÊNCIAS_BIOLÓGICAS_I B2_ASTRONOMIA_/_FÍSICA C_ENGENHARIAS_II |
Histórico (UTC) | 2023-11-03 17:55:24 :: simone -> administrator :: 2023-11-03 17:55:26 :: administrator -> simone :: 2023 2023-11-03 17:56:15 :: simone -> administrator :: 2023 2024-01-02 17:16:52 :: administrator -> simone :: 2023 |
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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 | Brazilian Amazon Machine learning Random Forest Remote sensing SuperDove Water-color characteristics |
Resumo | Hydrological connectivity based on water surface connectivity controls the water exchange between large rivers and their floodplain lakes, which occurs by channelized flow through floodplain areas and overbank flow, and it is relevant to sustain the ecosystem's health and biodiversity of floodplain waterbodies. Given the climate change impacts on floodplain aquatic habitats, further studies are needed to understand and quantify the riverlake connectivity and its temporal dynamics. However, few studies are dedicated to objectively estimating hydrological connectivity, and new commercial satellite datasets and machine learning approaches can advance the understanding of this important topic. This paper proposes a new framework for computing the hydrological connectivity of small floodplain lakes (river-Lake CONNECTivity or L-CONNECT) in the Amazon Juruá River. The L-CONNECT framework consists of spectral similarity analysis with machine learning in the riverlake system and three steps were implemented: (i) sampling process based on independent satellite-imagery visual interpretation; (ii) automated similarity features extraction from river-lake system; and (iii) training and validation of machine learning algorithm. A total of 552 3-m PlanetScope SuperDove imagery were acquired in 2020 and 2021 to perform our approach. In general, the L-CONNECT framework achieved 88% overall accuracy. However, not-connected lakes were not easily estimated. We found that the L-CONNECT framework managed to perform accurately over all lakes investigated independent on their distance to Juruá River channel (average accuracy of ∼ 86%), and that there was a low discordance (less than 30%) between the lakes hydrological connectivity responses acquired by Sentinel-2 against PlanetScope data. The mapping results showed that lakes were more connected to the Juruá River during the 2021 (not-connected lakes rate of 28%) compared to 2020, which was explained by higher cumulative precipitation during January, February, and March of 2021. Finally, the new L-CONNECT framework proposed here can support hydrological connectivity mapping of small floodplain lakes by considering assumptions relative to the similarity between river and water spectra as a proxy for that. |
Área | SRE |
Arranjo 1 | urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > SER > A framework based... |
Arranjo 2 | urlib.net > BDMCI > Fonds > LabISA > A framework based... |
Arranjo 3 | urlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGCT > A framework based... |
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 | 1-s2.0-S0022169423010983-main.pdf |
Grupo de Usuários | simone |
Grupo de Leitores | administrator simone |
Visibilidade | shown |
Política de Arquivamento | denypublisher denyfinaldraft24 |
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/439EAFB 8JMKD3MGPCW/46KUATE |
Lista de Itens Citando | sid.inpe.br/mtc-m21/2012/07.13.14.43.57 3 sid.inpe.br/bibdigital/2013/10.18.22.34 2 sid.inpe.br/bibdigital/2020/09.18.00.06 1 |
Divulgação | WEBSCI; PORTALCAPES; MGA; COMPENDEX. |
Acervo Hospedeiro | urlib.net/www/2021/06.04.03.40 |
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6. Notas | |
Campos Vazios | alternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark mirrorrepository nextedition notes number orcid parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url |
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7. Controle da descrição | |
e-Mail (login) | simone |
atualizar | |
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