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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitemarte.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Repositorydpi.inpe.br/sbsr@80/2008/11.17.19.53.52
Last Update2009:03.28.11.36.14 (UTC) administrator
Metadata Repositorydpi.inpe.br/sbsr@80/2008/11.17.19.53.53
Metadata Last Update2022:07.07.03.46.46 (UTC) administrator
Secondary KeyINPE-15814-PRE/10424
ISBN978-85-17-00044-7
Citation KeyAraiAdFrShRaMo:2009:AnSéTe
TitleAnálise de séries temporais MODIS e TRMM nas áreas de caatinga, cerrado e floresta
FormatDVD, On-line.
Year2009
Access Date2024, May 05
Secondary TypePRE CN
Number of Files1
Size1494 KiB
2. Context
Author1 Arai, Egidio
2 Adami, Marcos
3 Freitas, Ramon Morais de
4 Shimabukuro, Yosio Edemir
5 Rao, Vadlamudi B.
6 Moreira, Mauricio Alves
Resume Identifier1 8JMKD3MGP5W/3C9JGUP
2
3
4 8JMKD3MGP5W/3C9JJCQ
5
6 8JMKD3MGP5W/3C9JHT4
Group1 DSR-OBT-INPE-MCT-BR
2 DSR-OBT-INPE-MCT-BR
3 DSR-OBT-INPE-MCT-BR
4 DSR-OBT-INPE-MCT-BR
5 CPT-CPT-INPE-MCT-BR
6 DSR-OBT-INPE-MCT-BR
Affiliation1 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 Address1 egidio@dsr.inpe.br
2 adami@dsr.inpe.br
3 ramon@dsr.inpe.br
4 yosio@dsr.inpe.br
5 vbrao@cptec.inpe.br
6 mauricio@dsr.inpe.br
EditorEpiphanio, José Carlos Neves
Galvão, Lênio Soares
e-Mail Addresserich@sid.inpe.br
Conference NameSimpósio Brasileiro de Sensoriamento Remoto, 14 (SBSR)
Conference LocationNatal
Date25-30 abr. 2009
PublisherInstituto Nacional de Pesquisas Espaciais (INPE)
Publisher CitySão José dos Campos
Pages5081-5088
Book TitleAnais
Tertiary TypeArtigo
OrganizationInstituto Nacional de Pesquisas Espaciais (INPE)
History (UTC)2008-11-17 19:53:53 :: adami@dsr.inpe.br -> sbsr ::
2009-02-19 16:19:05 :: sbsr -> administrator ::
2009-04-20 16:31:42 :: administrator -> adami@dsr.inpe.br ::
2009-04-22 01:15:54 :: adami@dsr.inpe.br -> administrator ::
2009-06-09 19:31:43 :: administrator -> marciana ::
2009-06-22 13:55:23 :: marciana -> erich@sid.inpe.br ::
2009-06-23 14:39:33 :: erich@sid.inpe.br -> administrator ::
2009-08-05 01:59:21 :: administrator -> erich@sid.inpe.br ::
2010-05-14 02:40:40 :: erich@sid.inpe.br -> marciana ::
2011-02-16 14:17:13 :: marciana -> administrator :: 2009
2022-07-07 03:46:46 :: administrator -> :: 2009
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
KeywordsLinear Spectral Mixture Model
MODIS
TRMM
Precipitation
Modelo Linear de Mistura Espectral
precipitação
AbstractThe Brazilian northeast in most part is characterized by the semi-arid climate, presenting high temperatures and little amount of rains. Meanwhile in January 2004 occurred strong rainfalls that motivated this study of vegetation green up in that region. The aim of this paper is to evaluate the vegetation response in the Northeast Brazil through Linear Spectral Mixture Model and precipitation data analysis. The Linear Spectral Mixture Model was applied to Moderate Resolution Imaging Spectroradiometer (MODIS) data to generate vegetation, soil, and shade fraction images. The MODIS images were acquired from January 2001 to December 2007 time period. The MOD13A3 Vegetation Indices monthly product with 1 km spatial resolution was used. The precipitation data was derived from Tropical Rainfall Measuring Mission (TRMM). The study area encompasses thorny scrub (caatinga), transitional rain forest, savanna (cerrado), transitional palm forest, tropical semideciduous forest and agricultural areas. Time series analysis techniques were used to compare the response of land cover in the vegetation, soil and shade fraction images with precipitation data. The Principal Component Analysis was applied to fraction images to obtain the spatial variability in the study area. The autocorrelation results showed the temporal dependence between spectral response and precipitation data. The thorny scrub response showed in the vegetation, soil and shade fraction images presented significant correlation with precipitation and showed more variability than transitional rain forest.
AreaSRE
TypeMonitoramento e Modelagem Ambiental
Arrangementurlib.net > BDMCI > Fonds > Produção anterior à 2021 > CGCPT > Análise de séries...
doc Directory Contentaccess
source Directory Content
artigo_letter_2008_SBSR.pdf 17/11/2008 17:53 952.9 KiB 
agreement Directory Contentthere are no files
4. Conditions of access and use
data URLhttp://urlib.net/ibi/dpi.inpe.br/sbsr@80/2008/11.17.19.53.52
zipped data URLhttp://urlib.net/zip/dpi.inpe.br/sbsr@80/2008/11.17.19.53.52
Languagept
Target File5081-5088.pdf
User Groupadami@dsr.inpe.br
marciana
administrator
erich@sid.inpe.br
administrator
Reader Groupadami@dsr.inpe.br
administrator
Visibilityshown
5. Allied materials
Mirror Repositorydpi.inpe.br/marte1@80/2009/05.26.17.02
Next Higher Units8JMKD3MGPCW/3ER446E
8JMKD3MGPCW/3EUPEJL
Citing Item Listsid.inpe.br/mtc-m21/2012/07.13.14.56.26 1
sid.inpe.br/mtc-m21/2012/07.13.14.45.03 1
Host Collectiondpi.inpe.br/netuno@1905/2006/07.17.20.18
dpi.inpe.br/banon/2003/12.10.19.30
6. Notes
SponsorCNPQ e CAPES
Mark1
Empty Fieldsarchivingpolicy archivist callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage doi edition identifier issn label lineage nextedition notes numberofvolumes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readpermission rightsholder schedulinginformation secondarydate secondarymark serieseditor shorttitle tertiarymark url versiontype volume


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