1. Identity statement | |
Reference Type | Journal Article |
Site | mtc-m21b.sid.inpe.br |
Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
Identifier | 8JMKD3MGP5W34M/3G2TE7H |
Repository | sid.inpe.br/mtc-m21b/2014/03.28.21.16 (restricted access) |
Last Update | 2014:03.28.21.16.04 (UTC) administrator |
Metadata Repository | sid.inpe.br/mtc-m21b/2014/03.28.21.16.04 |
Metadata Last Update | 2020:12.31.02.07.44 (UTC) administrator |
DOI | 10.1016/j.jag.2014.01.001 |
ISSN | 0303-2434 |
Label | self-archiving-INPE-MCTI-GOV-BR |
Citation Key | MontanherNovBarRenSil:2014:EmMoEs |
Title | Empirical models for estimating the suspended sediment concentration in Amazonian white water rivers using Landsat 5/TM |
Project | CNPq (grant 551034/2011-4); FAPESP (grant 2011/23594-8); CNPq (grant 550373/2010-1); FAPESP (grant 2010/11269-2). |
Year | 2014 |
Month | June |
Access Date | 2024, May 18 |
Type of Work | journal article |
Secondary Type | PRE PI |
Number of Files | 1 |
Size | 1572 KiB |
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2. Context | |
Author | 1 Montanher, Otávio C. 2 Novo, Evlyn Márcia Leão de Moraes 3 Barbosa, Claudio Clemente Faria 4 Rennó, Camilo Daleles 5 Silva, Thiago S. F. |
Resume Identifier | 1 2 8JMKD3MGP5W/3C9JH39 3 8JMKD3MGP5W/3C9JGSB 4 8JMKD3MGP5W/3C9JGN2 |
Group | 1 2 DSR-OBT-INPE-MCTI-GOV-BR 3 DPI-OBT-INPE-MCTI-GOV-BR 4 DPI-OBT-INPE-MCTI-GOV-BR |
Affiliation | 1 Universidade Estadual de Maringá 2 Instituto Nacional de Pesquisas Espaciais (INPE) 3 Instituto Nacional de Pesquisas Espaciais (INPE) 4 Instituto Nacional de Pesquisas Espaciais (INPE) 5 Universidade Estadual Paulista (UNESP) |
Author e-Mail Address | 1 2 evlyn@ltid.inpe.br 3 claudio@dpi.inpe.br 4 camilo@dpi.inpe.br |
e-Mail Address | evlyn@dsr.inpe.br |
Journal | International Journal of Applied Earth Observation and Geoinformation |
Volume | 29 |
Pages | 67-77 |
Secondary Mark | B1_GEOCIÊNCIAS |
History (UTC) | 2014-03-28 21:16:04 :: evlyn@dsr.inpe.br -> administrator :: 2020-12-31 02:07:44 :: administrator -> marcelo.pazos@inpe.br :: 2014 |
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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 | top of atmosphere reflectance multiple regressions geology of the Amazon fluvial sediments spectral bands band ratios |
Abstract | Suspended sediment yield is a very important environmental indicator within Amazonian fluvial systems, especially for rivers dominated by inorganic particles, referred to as white water rivers. For vast portions of Amazonian rivers, suspended sediment concentration (SSC) is measured infrequently or not at all. However, remote sensing techniques have been used to estimate water quality parameters worldwide, from which data for suspended matter is the most successfully retrieved. This paper presents empirical models for SSC retrieval in Amazonian white water rivers using reflectance data derived from Landsat 5/TM. The models use multiple regression for both the entire dataset (global model, N = 504) and for five segmented datasets (regional models) defined by general geological features of drainage basins. The models use VNIR bands, band ratios, and the SWIR band 5 as input. For the global model, the adjusted R2 is 0.76, while the adjusted R2 values for regional models vary from 0.77 to 0.89, all significant (p-value < 0.0001). The regional models are subject to the leave-one-out cross validation technique, which presents robust results. The findings show that both the average error of estimation and the standard deviation increase as the SSC range increases. Regional models were more accurate when compared with the global model, suggesting changes in optical proprieties of water sampled at different sampling stations. Results confirm the potential for the estimation of SSC from Landsat/TM historical series data for the 1980s and 1990s, for which the in situ database is scarce. Such estimates supplement the SSC temporal series, providing a more comprehensive SSC temporal series which may show environmental dynamics yet unknown. |
Area | SRE |
Arrangement 1 | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDPI > Empirical models for... |
Arrangement 2 | urlib.net > DIDSR > Empirical models for... |
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 |
User Group | administrator evlyn@dsr.inpe.br marcelo.pazos@inpe.br self-uploading-INPE-MCTI-GOV-BR |
Reader Group | administrator marcelo.pazos@inpe.br |
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 | |
Mirror Repository | iconet.com.br/banon/2006/11.26.21.31 |
Next Higher Units | 8JMKD3MGPCW/3EQCCU5 8JMKD3MGPCW/3ER446E |
Citing Item List | sid.inpe.br/bibdigital/2013/09.09.15.05 5 sid.inpe.br/mtc-m21/2012/07.13.14.43.57 3 sid.inpe.br/mtc-m21/2012/07.13.14.42 2 |
URL (untrusted data) | http://dx.doi.org/10.1016/j.jag.2014.01.001 |
Dissemination | WEBSCI; PORTALCAPES; 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 format isbn lineage mark nextedition notes number orcid parameterlist parentrepositories previousedition previouslowerunit progress rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject targetfile tertiarymark tertiarytype |
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7. Description control | |
e-Mail (login) | marcelo.pazos@inpe.br |
update | |
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