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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitemarte2.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP6W34M/3PS4GLM
Repositorysid.inpe.br/marte2/2017/10.23.19.36.37
Last Update2017:10.23.19.36.37 (UTC) banon
Metadata Repositorysid.inpe.br/marte2/2017/10.23.19.36.38
Metadata Last Update2018:06.06.03.04.00 (UTC) administrator
ISBN978-85-17-00088-1
Label59648
Citation KeyMarinhoDuaiFili:2017:InAmCo
TitleInfluência da amostragem na construção de superfície batimétrica de grandes rios ? estudo de caso no Baixo Rio Negro - AM
FormatInternet
Year2017
Access Date2024, May 05
Secondary TypePRE CN
Number of Files1
Size1402 KiB
2. Context
Author1 Marinho, Rogério Ribeiro
2 Duailibe, Nayara Soares
3 Filizola Junior, Naziano Pantoja
Author e-Mail Address1 rogeo@ufam.edu.br
EditorGherardi, Douglas Francisco Marcolino
Aragão, Luiz Eduardo Oliveira e Cruz de
e-Mail Addressdaniela.seki@inpe.br
Conference NameSimpósio Brasileiro de Sensoriamento Remoto, 18 (SBSR)
Conference LocationSantos
Date28-31 maio 2017
PublisherInstituto Nacional de Pesquisas Espaciais (INPE)
Publisher CitySão José dos Campos
Pages1416-1423
Book TitleAnais
OrganizationInstituto Nacional de Pesquisas Espaciais (INPE)
History (UTC)2017-10-23 19:36:38 :: banon -> administrator ::
2018-06-06 03:04:00 :: administrator -> banon :: 2017
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
AbstractThis article investigates the representation of Negro River morphology near to Manaus city (Brazil) using bathymetric data acquired by an acoustic Doppler device with a GPS system in a 25 km2 of water surface area. Geostatistical analysis methods were used to produce bathymetric maps in different sampling designs. The results in this study area indicated a average depth of 23.19 meters and amplitude up to 51.64 meters for the different sampling designs. Cross-validation was performed using Root mean square error (RMSE) to analyze the influence of sampling design in the depths estimative. Data evaluated with spacing profiles ranging from 100 to 500 meters showed RMSE varying from 1.01 to 2.21 meters. These results indicate that the methodology used in this article can be an alternative in collection and processing bathymetric data for Amazon large rivers.
AreaSRE
TypeRecursos hídricos
Arrangement 1urlib.net > BDMCI > Fonds > SBSR > SBSR 18 > Influência da amostragem...
Arrangement 2urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > SBSR 18 > Influência da amostragem...
Arrangement 3Projeto Memória 60... > Livros e livros editados > SBSR 18 > Influência da amostragem...
doc Directory Contentaccess
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGP6W34M/3PS4GLM
zipped data URLhttp://urlib.net/zip/8JMKD3MGP6W34M/3PS4GLM
Languagept
Target File59648.pdf
User Groupbanon
Visibilityshown
5. Allied materials
Mirror Repositoryurlib.net/www/2011/03.29.20.55
Next Higher Units8JMKD3MGP6W34M/3PMFNUS
Citing Item Listsid.inpe.br/marte2/2017/09.25.14.55 2
Host Collectiondpi.inpe.br/marte2/2013/05.17.15.03.06
6. Notes
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