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1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m21d.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W34T/4A6444S
Repositóriosid.inpe.br/mtc-m21d/2023/11.03.17.55   (acesso restrito)
Última Atualização2023:11.03.17.55.24 (UTC) simone
Repositório de Metadadossid.inpe.br/mtc-m21d/2023/11.03.17.55.24
Última Atualização dos Metadados2024:01.02.17.16.52 (UTC) administrator
DOI10.1016/j.jhydrol.2023.130156
ISSN0022-1694
Chave de CitaçãoPaulinoMNMLBBU:2023:FrBaSp
TítuloA framework based on spectral similarity to estimate hydrological connectivity in Juruá River floodplain lakes using 3-m PlanetScope data
Ano2023
MêsOct.
Data de Acesso11 maio 2024
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho16362 KiB
2. Contextualização
Autor1 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 Curriculo1
2
3 8JMKD3MGP5W/3C9JH39
4
5
6 8JMKD3MGP5W/3C9JGSB
Grupo1 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
Afiliação1 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 Autor1 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
RevistaJournal of Hydrology
Volume625
Páginase130156
Nota SecundáriaA1_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
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Tipo de Versãopublisher
Palavras-ChaveBrazilian Amazon
Machine learning
Random Forest
Remote sensing
SuperDove
Water-color characteristics
ResumoHydrological 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.
ÁreaSRE
Arranjo 1urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > SER > A framework based...
Arranjo 2urlib.net > BDMCI > Fonds > LabISA > A framework based...
Arranjo 3urlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGCT > A framework based...
Conteúdo da Pasta docacessar
Conteúdo da Pasta sourcenão têm arquivos
Conteúdo da Pasta agreement
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4. Condições de acesso e uso
Idiomaen
Arquivo Alvo1-s2.0-S0022169423010983-main.pdf
Grupo de Usuáriossimone
Grupo de Leitoresadministrator
simone
Visibilidadeshown
Política de Arquivamentodenypublisher denyfinaldraft24
Permissão de Leituradeny from all and allow from 150.163
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/3F3NU5S
8JMKD3MGPCW/439EAFB
8JMKD3MGPCW/46KUATE
Lista de Itens Citandosid.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
DivulgaçãoWEBSCI; PORTALCAPES; MGA; COMPENDEX.
Acervo Hospedeirourlib.net/www/2021/06.04.03.40
6. Notas
Campos Vaziosalternatejournal 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
7. Controle da descrição
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