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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitemtc-m16b.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Repositorycptec.inpe.br/walmeida/2004/06.08.16.28
Last Update2005:03.22.03.00.00 (UTC) administrator
Metadata Repositorycptec.inpe.br/walmeida/2004/06.08.16.28.05
Metadata Last Update2022:03.26.18.01.38 (UTC) administrator
Secondary KeyINPE-10867-PRE/6323
Citation KeyWeigangRamFerSaOli:1998:MuWaTr
TitleMultiresolution wavelet transform and neural networks methods for rainfall estimation from meteorological satellite and radar data
FormatCD-ROM
Year1998
Access Date2024, May 19
Secondary TypePRE CN
Number of Files1
Size40 KiB
2. Context
Author1 Weigang, Li
2 Ramirez, Maria Cleofe Valverde
3 Ferreira, Nelson Jesus
4 Sa, Leonardo Deane de Abreu
5 Oliveira, José Luís de
Resume Identifier1
2
3 8JMKD3MGP5W/3C9JHUB
4 8JMKD3MGP5W/3C9JHLH
Group1 DMA-INPE-MCT-BR
Affiliation1 CPTEC-INPE-Cachoeira Paulista-12630-000-SP-Brasil
e-Mail Addressfabia@cptec.inpe.br
Conference NameCongresso Brasileiro de Meteorologia, 10.
Conference LocationBrasilia
Date26-30 out. 1998
Book TitleAnais
Tertiary TypeArtigos
OrganizationSBMET
History (UTC)2005-04-26 18:24:59 :: Fabia -> administrator ::
2008-06-10 20:48:23 :: administrator -> estagiario ::
2010-05-11 16:53:33 :: estagiario -> administrator ::
2022-03-26 18:01:38 :: administrator -> marciana :: 1998
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Keywordsestimativa da precipitacao
satelite
radar
redes
neuronais
wavelets
AbstractRainfall estimation from satellite data have many applications in climatological and meteorological studies. Their calculation requires a rapid processing of large amounts of data in order to achieve the desired result. The Neural Networks (NN) method is one of the several techniques employed to extract meteorologically useful information from remote sensing data. However this method is hardly used by itself to yield quasi-real time rainfall estimates once this demands a large amount of satellite data to generate the input/output data for the NN training. In order to overcome this, we propose to use Multiresolution Wavelet Transform (WT) technique to decompose the images retaining only the key information for the current problem. As a result, the NN training becomes easier and faster. We propose in this study to estimate rainfall over the central part of the São Paulo state, Brazil using both the NN and WT techniques. The analyses were performed using GOES-8 brightness temperature and meteorological radar data from Bauru, SP. The results suggest that NN can successfully estimate rainfall from remote sensing imagery.
AreaMET
Arrangementurlib.net > BDMCI > Fonds > Produção até 2016 > DMA > Multiresolution wavelet transform...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
4. Conditions of access and use
data URLhttp://mtc-m16b.sid.inpe.br/ibi/cptec.inpe.br/walmeida/2004/06.08.16.28
zipped data URLhttp://mtc-m16b.sid.inpe.br/zip/cptec.inpe.br/walmeida/2004/06.08.16.28
Languageen
Target FileWeigang_Multiresolution wavelet transform .pdf
User Groupadministrator
Visibilityshown
Copy HolderSID/SCD
5. Allied materials
Next Higher Units8JMKD3MGPCW/46JKC45
Citing Item Listsid.inpe.br/mtc-m21/2012/07.13.14.57 1
Host Collectioncptec.inpe.br/walmeida/2003/04.25.17.12
6. Notes
Empty Fieldsarchivingpolicy archivist callnumber copyright creatorhistory descriptionlevel dissemination documentstage doi edition editor electronicmailaddress identifier isbn issn label lineage mark mirrorrepository nextedition notes numberofvolumes orcid pages parameterlist parentrepositories previousedition previouslowerunit progress project publisher publisheraddress readergroup readpermission rightsholder schedulinginformation secondarydate secondarymark serieseditor session shorttitle sponsor subject tertiarymark type url versiontype volume
7. Description control
e-Mail (login)marciana
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