1. Identity statement | |
Reference Type | Journal Article |
Site | mtc-m21d.sid.inpe.br |
Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
Identifier | 8JMKD3MGP3W34T/45B5L52 |
Repository | sid.inpe.br/mtc-m21d/2021/08.26.11.42 (restricted access) |
Last Update | 2021:08.26.11.42.29 (UTC) simone |
Metadata Repository | sid.inpe.br/mtc-m21d/2021/08.26.11.42.29 |
Metadata Last Update | 2022:04.03.22.27.31 (UTC) administrator |
DOI | 10.5935/1806-6690.20210028 |
ISSN | 0045-6888 |
Citation Key | LopesBaNoCaAnTe:2021:MoChCo |
Title | Modelling chlorophyll-a concentrations in a continental aquatic ecosystem of the Brazilian semi-arid region based on remote sensing |
Year | 2021 |
Access Date | 2024, May 19 |
Type of Work | journal article |
Secondary Type | PRE PN |
Number of Files | 1 |
Size | 1327 KiB |
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2. Context | |
Author | 1 Lopes, Fernando Bezerra 2 Barbosa, Cláudio Clemente Faria 3 Novo, Evlyn Márcia Leão de Moraes 4 Carvalho, Lino Augusto Sander de 5 Andrade, Eunice Maia de 6 Teixeira, Adunias dos Santos |
Resume Identifier | 1 2 8JMKD3MGP5W/3C9JGSB 3 8JMKD3MGP5W/3C9JH39 |
Group | 1 2 DIOTG-CGCT-INPE-MCTI-GOV-BR 3 DIOTG-CGCT-INPE-MCTI-GOV-BR |
Affiliation | 1 Universidade Federal do Ceará (UFC) 2 Instituto Nacional de Pesquisas Espaciais (INPE) 3 Instituto Nacional de Pesquisas Espaciais (INPE) 4 Universidade Federal do Rio de Janeiro (UFRJ) 5 Universidade Federal Rural do Semi-Árido (UFERSA) 6 Universidade Federal do Ceará (UFC) |
Author e-Mail Address | 1 lopesfb@ufc.br 2 claudio.barbosa@inpe.br 3 evlyn.novo@inpe.br 4 lino.sander@gmail.com 5 eandrade.ufc@gmail.com 6 adunias@ufc.br |
Journal | Revista Ciência Agronômica |
Volume | 52 |
Number | 2 |
Pages | e20207210 |
Secondary Mark | B1_INTERDISCIPLINAR B1_CIÊNCIAS_AGRÁRIAS_I B2_PLANEJAMENTO_URBANO_E_REGIONAL_/_DEMOGRAFIA B2_ENGENHARIAS_I B2_CIÊNCIAS_AMBIENTAIS B2_BIODIVERSIDADE B3_ZOOTECNIA_/_RECURSOS_PESQUEIROS B3_CIÊNCIA_DE_ALIMENTOS B3_BIOTECNOLOGIA B4_MEDICINA_VETERINÁRIA B4_MEDICINA_II B4_ENGENHARIAS_II B4_EDUCAÇÃO B5_QUÍMICA B5_GEOCIÊNCIAS B5_ENSINO B5_ENGENHARIAS_III C_CIÊNCIAS_BIOLÓGICAS_II |
History (UTC) | 2021-08-26 11:42:29 :: simone -> administrator :: 2021-08-26 11:42:30 :: administrator -> simone :: 2021 2021-08-26 11:44:49 :: simone -> administrator :: 2021 2022-04-03 22:27:31 :: administrator -> simone :: 2021 |
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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 | Surface reservoirsModelsRemote quantificationEutrophication |
Abstract | Remote-sensing data are essentialto evaluate dynamic processes suchas eutrophication and increases in the concentration of suspended sediments in continental aquatic systems. The aim of this study, therefore, was to develop models to estimate chlorophylla concentrations from remote-sensing data in continental waters of the Brazilian semi-arid region. The study area corresponds to the Oros reservoir, located in the state of Ceara. The models were developed based on measurements taken at 20 sampling points. Water samples were collected from the reservoir to i) analyse the chlorophyll-a, electrical conductivity, pH and turbidity; ii) take optical measurements in situ of water transparency and spectral radiance. Radiance measurements were carried out using an ASD FieldSpec (R) 3 Hi-Res spectroradiometer. The spectral data were later transformed into reflectance values and used to test the performance of several models found in the literature for estimating chlorophyll-a. The results showed that for the three-band model, the maximum value for the coefficient of determination (R-2), of 0.88, was obtained using the lambda(1) = 660 nm, lambda(2) = 690 nm and lambda(3) = 717 nm spectral bands. The model employing two spectral bands presented the best performance (R-2 = 0.87) in the lambda(1) = 660 nm and lambda(2) = 690 nm bands. An absolute mean error of 5.35 and 5.00 mu g L-1 was found for the three- and two-band models respectively. The developed models are reliable, showing that chlorophyll-a concentrations can be quantified from remote-sensing field data with a high degree of accuracy. |
Area | SRE |
Arrangement 1 | urlib.net > BDMCI > Fonds > LabISA > Modelling chlorophyll-a concentrations... |
Arrangement 2 | urlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGCT > Modelling chlorophyll-a concentrations... |
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 | pt |
Target File | lopes_modelling_2021.pdf |
User Group | simone |
Reader Group | administrator simone |
Visibility | shown |
Archiving Policy | denypublisher denyfinaldraft |
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/439EAFB 8JMKD3MGPCW/46KUATE |
Citing Item List | sid.inpe.br/mtc-m21/2012/07.13.14.45.43 5 sid.inpe.br/bibdigital/2020/09.18.00.06 1 |
Dissemination | PORTALCAPES; SCIELO. |
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 month nextedition notes 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 |
update | |
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