1. Identity statement | |
Reference Type | Journal Article |
Site | mtc-m21b.sid.inpe.br |
Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
Identifier | 8JMKD3MGP3W34P/3PFBCHB |
Repository | sid.inpe.br/mtc-m21b/2017/08.18.17.12 |
Last Update | 2017:08.18.17.12.12 (UTC) administrator |
Metadata Repository | sid.inpe.br/mtc-m21b/2017/08.18.17.12.12 |
Metadata Last Update | 2020:12.31.02.07.55 (UTC) administrator |
DOI | 10.3390/rs9070644 |
ISSN | 2072-4292 |
Citation Key | JorgeBaCaAfLoNo:2017:SNSiRa |
Title | SNR (signal-to-noise ratio) impact on water constituent retrieval from simulated images of optically complex Amazon lakes |
Year | 2017 |
Month | July |
Access Date | 2024, May 18 |
Type of Work | journal article |
Secondary Type | PRE PI |
Number of Files | 1 |
Size | 9750 KiB |
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2. Context | |
Author | 1 Jorge, Daniel Schaffer Ferreira 2 Barbosa, Cláudio Clemente Faria 3 Carvalho, Lino Augusto Sander de 4 Affonso, Adriana Gomes 5 Lobo, Felipe de Lucia 6 Novo, Evlyn Márcia Leão de Moraes |
Resume Identifier | 1 2 8JMKD3MGP5W/3C9JGSB 3 4 5 6 8JMKD3MGP5W/3C9JH39 |
Group | 1 SER-SRE-SESPG-INPE-MCTIC-GOV-BR 2 DIDPI-CGOBT-INPE-MCTIC-GOV-BR 3 DIDSR-CGOBT-INPE-MCTIC-GOV-BR 4 DIDSR-CGOBT-INPE-MCTIC-GOV-BR 5 SER-SRE-SESPG-INPE-MCTIC-GOV-BR 6 DIDSR-CGOBT-INPE-MCTIC-GOV-BR |
Affiliation | 1 Instituto Nacional de Pesquisas Espaciais (INPE) 2 Instituto Nacional de Pesquisas Espaciais (INPE) 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) |
Author e-Mail Address | 1 danielsfj@dsr.inpe.br 2 claudio.barbosa@inpe.br 3 lino@dsr.inpe.br 4 affonso@dsr.inpe.br 5 felipe.lobo@inpe.br 6 evlyn.novo@inpe.br |
Journal | Remote Sensing |
Volume | 9 |
Number | 7 |
Pages | Article number 644 |
Secondary Mark | B3_GEOGRAFIA B3_ENGENHARIAS_I B4_GEOCIÊNCIAS B4_CIÊNCIAS_AMBIENTAIS B5_CIÊNCIAS_AGRÁRIAS_I |
History (UTC) | 2017-08-18 17:12:12 :: simone -> administrator :: 2017-08-18 17:12:12 :: administrator -> simone :: 2017 2017-08-18 17:12:54 :: simone -> administrator :: 2017 2017-08-29 17:27:17 :: administrator -> simone :: 2017 2017-12-14 16:39:32 :: simone -> administrator :: 2017 2020-12-31 02:07:55 :: administrator -> simone :: 2017 |
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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 | signal-to-noise ratio Remote Sensing Reflectance bio-optical algorithms inland waters |
Abstract | Uncertainties in the estimates of water constituents are among the main issues concerning the orbital remote sensing of inland waters. Those uncertainties result from sensor design, atmosphere correction, model equations, and in situ conditions (cloud cover, lake size/shape, and adjacency effects). In the Amazon floodplain lakes, such uncertainties are amplified due to their seasonal dynamic. Therefore, it is imperative to understand the suitability of a sensor to cope with them and assess their impact on the algorithms for the retrieval of constituents. The objective of this paper is to assess the impact of the SNR on the Chl-a and TSS algorithms in four lakes located at Mamirauá Sustainable Development Reserve (Amazonia, Brazil). Two data sets were simulated (noisy and noiseless spectra) based on in situ measurements and on sensor design (MSI/Sentinel-2, OLCI/Sentinel-3, and OLI/Landsat 8). The dataset was tested using three and four algorithms for TSS and Chl-a, respectively. The results showed that the impact of the SNR on each algorithm displayed similar patterns for both constituents. For additive and single band algorithms, the error amplitude is constant for the entire concentration range. However, for multiplicative algorithms, the error changes according to the model equation and the Rrs magnitude. Lastly, for the exponential algorithm, the retrieval amplitude is higher for a low concentration. The OLCI sensor has the best retrieval performance (error of up to 2 µg/L for Chl-a and 3 mg/L for TSS). For MSI, the error of the additive and single band algorithms for TSS and Chl-a are low (up to 5 mg/L and 1 µg/L, respectively); but for the multiplicative algorithm, the errors were above 10 µg/L. The OLI simulation resulted in errors below 3 mg/L for TSS. However, the number and position of OLI bands restrict Chl-a retrieval. Sensor and algorithm selection need a comprehensive analysis of key factors such as sensor design, in situ conditions, water brightness (Rrs), and model equations before being applied for inland water studies. |
Area | SRE |
Arrangement 1 | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDPI > SNR (signal-to-noise ratio)... |
Arrangement 2 | urlib.net > DIDSR > SNR (signal-to-noise ratio)... |
Arrangement 3 | urlib.net > SER > SNR (signal-to-noise ratio)... |
doc Directory Content | access |
source Directory Content | there are no files |
agreement Directory Content | |
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4. Conditions of access and use | |
data URL | http://mtc-m21b.sid.inpe.br/ibi/8JMKD3MGP3W34P/3PFBCHB |
zipped data URL | http://mtc-m21b.sid.inpe.br/zip/8JMKD3MGP3W34P/3PFBCHB |
Language | en |
Target File | jorge_snr.pdf |
User Group | simone |
Reader Group | administrator simone |
Visibility | shown |
Archiving Policy | allowpublisher allowfinaldraft |
Update Permission | not transferred |
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5. Allied materials | |
Next Higher Units | 8JMKD3MGPCW/3EQCCU5 8JMKD3MGPCW/3ER446E 8JMKD3MGPCW/3F3NU5S |
Citing Item List | sid.inpe.br/bibdigital/2013/09.09.15.05 4 sid.inpe.br/bibdigital/2013/09.13.21.11 3 sid.inpe.br/mtc-m21/2012/07.13.14.45.43 3 |
Dissemination | WEBSCI; PORTALCAPES; MGA; COMPENDEX; SCOPUS. |
Host Collection | sid.inpe.br/mtc-m21b/2013/09.26.14.25.20 |
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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 orcid parameterlist parentrepositories previousedition previouslowerunit progress project readpermission 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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