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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitemarte.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier3ERPFQRTRW/3A3AHT2
Repositorydpi.inpe.br/marte/2011/07.08.17.51
Last Update2011:07.08.17.51.28 (UTC) wanderf@dsr.inpe.br
Metadata Repositorydpi.inpe.br/marte/2011/07.08.17.51.28
Metadata Last Update2018:06.06.02.24.05 (UTC) administrator
ISBN978-85-17-00056-0 (Internet)
978-85-17-00057-7 (DVD)
Citation KeyLiberatoNasc:2011:EsAlÍn
TitleEstimativa de albedo e índice de área foliar em região tropical úmida através do algoritmo SEBAL
FormatDVD, Internet.
Year2011
Access Date2024, May 02
Secondary TypePRE CN
Number of Files1
Size267 KiB
2. Context
Author1 Liberato, Ailton Marcolino
2 Nascimento, Geissa Samira Lima
Affiliation1 Universidade Federal de Campina Grande – UFCG
2 Universidade Federal de Campina Grande – UFCG
Author e-Mail Address1 ailton@dca.ufcg.edu.br
2 geissa.samira@gmail.com
EditorEpiphanio, José Carlos Neves
Galvão, Lênio Soares
e-Mail Addresswanderf@dsr.inpe.br
Conference NameSimpósio Brasileiro de Sensoriamento Remoto, 15 (SBSR).
Conference LocationCuritiba
Date30 abr. - 5 maio 2011
PublisherInstituto Nacional de Pesquisas Espaciais (INPE)
Publisher CitySão José dos Campos
Pages6113-6120
Book TitleAnais
OrganizationInstituto Nacional de Pesquisas Espaciais (INPE)
History (UTC)2011-08-15 15:17:52 :: wanderf@dsr.inpe.br -> administrator :: 2011
2018-06-06 02:24:05 :: administrator -> tereza@sid.inpe.br :: 2011
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Keywordsremote sensing
vegetation
Amazon
sensoriamento remoto
vegetação
Amazônia
AbstractThe Leaf Area Index (LAI) is a vegetation biophysical variable used for various primary production models across scales and global models of climate, hydrology, biogeochemistry and ecology. Land use changes have been discussed in the global context of environmental impacts in the last decades, because they occur on the earth surface and it influences directly global climate. In the last decades Remote Sensing has been assuming great importance in the monitoring of earth natural resources. This study to estimate albedo data and LAI from the land surface sensor using the images of Thematic Mapper (TM) satélite Landsat 5 and to compare with values available in the scientific literature. The study area is located in the State of Rondônia. To carry out the study four orbital images were obtained from the satellite Landsat 5-TM in the path 231 and in the row 67, for the dates of 13/07/2005, 30/06 and 16/07 year of 2006, which correspond to the days 194, 181 and 197, respectively. The image processing was developed by using the software ERDAS 8.7. The geometric correction for images was performed and the letters of albedo and IAF were generated. The algorithm SEBAL estimated, satisfactorily, the values of albedo and IAF on the surface pasture and forest (different LAI), consistent with scientific literature.
AreaSRE
TypeMeteorologia, Atmosfera e Agrometeorologia
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
4. Conditions of access and use
data URLhttp://urlib.net/ibi/3ERPFQRTRW/3A3AHT2
zipped data URLhttp://urlib.net/zip/3ERPFQRTRW/3A3AHT2
Languagept
Target Filep0469.pdf
User Groupwanderf@dsr.inpe.br
Visibilityshown
5. Allied materials
Mirror Repositoryurlib.net/www/2011/03.29.20.55
Host Collectiondpi.inpe.br/banon/2003/12.10.19.30
6. Notes
Empty Fieldsarchivingpolicy archivist callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage doi edition group issn label lineage mark nextedition nexthigherunit notes numberofvolumes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark serieseditor session shorttitle sponsor subject tertiarymark tertiarytype url versiontype volume
7. Description control
e-Mail (login)tereza@sid.inpe.br
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