1. Identity statement | |
Reference Type | Journal Article |
Site | mtc-m21d.sid.inpe.br |
Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
Identifier | 8JMKD3MGP3W34T/4A6444S |
Repository | sid.inpe.br/mtc-m21d/2023/11.03.17.55 (restricted access) |
Last Update | 2023:11.03.17.55.24 (UTC) simone |
Metadata Repository | sid.inpe.br/mtc-m21d/2023/11.03.17.55.24 |
Metadata Last Update | 2024:01.02.17.16.52 (UTC) administrator |
DOI | 10.1016/j.jhydrol.2023.130156 |
ISSN | 0022-1694 |
Citation Key | PaulinoMNMLBBU:2023:FrBaSp |
Title | A framework based on spectral similarity to estimate hydrological connectivity in Juruá River floodplain lakes using 3-m PlanetScope data |
Year | 2023 |
Month | Oct. |
Access Date | 2024, May 18 |
Type of Work | journal article |
Secondary Type | PRE PI |
Number of Files | 1 |
Size | 16362 KiB |
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2. Context | |
Author | 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 |
Resume Identifier | 1 2 3 8JMKD3MGP5W/3C9JH39 4 5 6 8JMKD3MGP5W/3C9JGSB |
Group | 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 |
Affiliation | 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 |
Author e-Mail Address | 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 |
Journal | Journal of Hydrology |
Volume | 625 |
Pages | e130156 |
Secondary Mark | 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 |
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 |
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3. Content and structure | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Content Type | External Contribution |
Version Type | publisher |
Keywords | Brazilian Amazon Machine learning Random Forest Remote sensing SuperDove Water-color characteristics |
Abstract | 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. |
Area | SRE |
Arrangement 1 | urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > SER > A framework based... |
Arrangement 2 | urlib.net > BDMCI > Fonds > LabISA > A framework based... |
Arrangement 3 | urlib.net > CGCT > A framework based... |
doc Directory Content | access |
source Directory Content | there are no files |
agreement Directory Content | |
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4. Conditions of access and use | |
Language | en |
Target File | 1-s2.0-S0022169423010983-main.pdf |
User Group | simone |
Reader Group | administrator simone |
Visibility | shown |
Archiving Policy | denypublisher denyfinaldraft24 |
Read Permission | deny from all and allow from 150.163 |
Update Permission | not transferred |
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5. Allied materials | |
Next Higher Units | 8JMKD3MGPCW/3F3NU5S 8JMKD3MGPCW/439EAFB 8JMKD3MGPCW/46KUATE |
Citing Item List | 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 |
Dissemination | WEBSCI; PORTALCAPES; MGA; COMPENDEX. |
Host Collection | urlib.net/www/2021/06.04.03.40 |
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6. Notes | |
Empty Fields | 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. Description control | |
e-Mail (login) | simone |
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