Close

1. Identity statement
Reference TypeJournal Article
Sitemtc-m21d.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34T/4A6444S
Repositorysid.inpe.br/mtc-m21d/2023/11.03.17.55   (restricted access)
Last Update2023:11.03.17.55.24 (UTC) simone
Metadata Repositorysid.inpe.br/mtc-m21d/2023/11.03.17.55.24
Metadata Last Update2024:01.02.17.16.52 (UTC) administrator
DOI10.1016/j.jhydrol.2023.130156
ISSN0022-1694
Citation KeyPaulinoMNMLBBU:2023:FrBaSp
TitleA framework based on spectral similarity to estimate hydrological connectivity in Juruá River floodplain lakes using 3-m PlanetScope data
Year2023
MonthOct.
Access Date2024, May 18
Type of Workjournal article
Secondary TypePRE PI
Number of Files1
Size16362 KiB
2. Context
Author1 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
Resume Identifier1
2
3 8JMKD3MGP5W/3C9JH39
4
5
6 8JMKD3MGP5W/3C9JGSB
Group1 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
Affiliation1 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
Author e-Mail Address1 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
JournalJournal of Hydrology
Volume625
Pagese130156
Secondary MarkA1_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
History (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. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
KeywordsBrazilian Amazon
Machine learning
Random Forest
Remote sensing
SuperDove
Water-color characteristics
AbstractHydrological 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.
AreaSRE
Arrangement 1urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > SER > A framework based...
Arrangement 2urlib.net > BDMCI > Fonds > LabISA > A framework based...
Arrangement 3urlib.net > CGCT > A framework based...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Content
agreement.html 03/11/2023 14:55 1.0 KiB 
4. Conditions of access and use
Languageen
Target File1-s2.0-S0022169423010983-main.pdf
User Groupsimone
Reader Groupadministrator
simone
Visibilityshown
Archiving Policydenypublisher denyfinaldraft24
Read Permissiondeny from all and allow from 150.163
Update Permissionnot transferred
5. Allied materials
Next Higher Units8JMKD3MGPCW/3F3NU5S
8JMKD3MGPCW/439EAFB
8JMKD3MGPCW/46KUATE
Citing Item Listsid.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
DisseminationWEBSCI; PORTALCAPES; MGA; COMPENDEX.
Host Collectionurlib.net/www/2021/06.04.03.40
6. Notes
Empty Fieldsalternatejournal 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. Description control
e-Mail (login)simone
update 


Close