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1. Identity statement
Reference TypeJournal Article
Sitemtc-m16d.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP7W/3B25HJE
Repositorysid.inpe.br/mtc-m19/2011/12.14.12.38   (restricted access)
Last Update2012:01.31.15.40.28 (UTC) administrator
Metadata Repositorysid.inpe.br/mtc-m19/2011/12.14.12.38.55
Metadata Last Update2021:01.03.02.11.59 (UTC) administrator
DOI10.1080/01431161.2010.532169
ISSN0143-1161
Citation KeyRossatoJeuAlvaSouz:2011:EvSoMo
TitleEvaluation of soil moisture from satellite observations over South America
Year2011
MonthDec.
Access Date2024, May 02
Secondary TypePRE PI
Number of Files1
Size5603 KiB
2. Context
Author1 Rossato, Luciana
2 de Jeu, R.
3 Alvalá, Regina Célia S.
4 Souza, Solange Silva de
Group1 DSA-CPT-INPE-MCT-BR
2
3 CST-CST-INPE-MCT-BR
4 DMD-CPT-INPE-MCT-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Department of Hydrology and Geo-Environmental Sciences, Vrije Universiteit Amsterdam, Netherlands
3 Instituto Nacional de Pesquisas Espaciais (INPE)
4 Instituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Address1 luciana.rossato@cptec.inpe.br
2
3 regina.alvala@cptec.inpe.br
4 solange.souza@cptec.inpe.br
JournalInternational Journal of Remote Sensing
Volume32
Number23
Pages8013-8031
History (UTC)2012-01-31 15:40:58 :: valdirene -> administrator :: 2011
2021-01-03 02:11:59 :: administrator -> valdirene :: 2011
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
Keywordssoil moisture
satellite observations
South America
AbstractA study was performed to evaluate the surface soil moisture derived from Advanced Microwave Scanning Radiometer for the Earth Observing System (AMSR-E) sensor observations over South America. Other soil moisture and rainfall datasets were also used for the analysis. The information for the soil data came from the Eta regional climate model, and for the rainfall data from the Tropical Rainfall Microwave Mission (TRMM) satellite. Statistical analysis was used to evaluate the quality of the soil moisture and rainfall products, with estimates of the correlation coefficient (R), χ2 and Cramer's phi (φc). The results show high correlations (R > 0.8) of the AMSR-E soil moisture products with the Eta model for different regions of South America. Comparison of soil moisture products with rainfall datasets showed that the AMSR-E C-band soil moisture product was highly correlated with the TRMM satellite rainfall datasets, with the highest values of χ2 and φ. The results show that the AMSR-E C-band soil moisture products contain important information that can be used for various purposes, such as monitoring floods or droughts in arid areas or as input within the framework of an assimilation scheme of numerical weather prediction models.
AreaMET
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4. Conditions of access and use
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Update Permissionnot transferred
5. Allied materials
Previous Editionsid.inpe.br/mtc-m19/2010/11.22.13.01
Mirror Repositorysid.inpe.br/mtc-m19@80/2009/08.21.17.02.53
Next Higher Units8JMKD3MGPCW/3F3T29H
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DisseminationWEBSCI; PORTALCAPES; MGA; COMPENDEX.
Host Collectionsid.inpe.br/mtc-m19@80/2009/08.21.17.02
6. Notes
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