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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitemtc-m21c.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34R/3TP8QA5
Repositorysid.inpe.br/mtc-m21c/2019/08.01.15.23   (restricted access)
Last Update2020:01.10.11.21.07 (UTC) simone
Metadata Repositorysid.inpe.br/mtc-m21c/2019/08.01.15.23.11
Metadata Last Update2021:08.19.12.21.15 (UTC) simone
Secondary KeyINPE--PRE/
Citation KeyShimabukuroAraiDuarDutr:2019:AsLaUs
TitleAssessment of land use cover in Brazil, South America using fraction images derived from Proba-V datasets
Year2019
Access Date2024, May 06
Secondary TypePRE CI
Number of Files1
Size624 KiB
2. Context
Author1 Shimabukuro, Yosio Edemir
2 Arai, Egidio
3 Duarte, Valdete
4 Dutra, Andeise Cerqueira
Resume Identifier1 8JMKD3MGP5W/3C9JJCQ
2 8JMKD3MGP5W/3C9JGUP
3 8JMKD3MGP5W/3C9JJAU
Group1 DIDSR-CGOBT-INPE-MCTIC-GOV-BR
2 DIDSR-CGOBT-INPE-MCTIC-GOV-BR
3 DIDSR-CGOBT-INPE-MCTIC-GOV-BR
4 SER-SRE-SESPG-INPE-MCTIC-GOV-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)
Author e-Mail Address1 yosio.shimabukuro@inpe.br
2 egidio.arai@inpe.br
3 valdete.duarte@inpe.br
4 andeise.dutra@inpe.br
Conference NameInternational Geoscience and Remote Sensing Symposium (IGARSS)
Conference LocationYokohama, Japan
Date28 July - 02 Aug.
PublisherIEEE
Pages6401-6404
Book TitleProceedings
History (UTC)2019-08-01 15:23:11 :: simone -> administrator ::
2020-01-06 11:42:17 :: administrator -> simone :: 2019
2020-01-10 11:21:07 :: simone -> administrator :: 2019
2020-09-02 15:18:05 :: administrator -> simone :: 2019
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
KeywordsRemote Sensing
Image Processing
Deforestation
Forest Degradation
Burned Areas
Fraction Images
PROBA-V
AbstractThe objective of this paper is to present a method to assess the extent of annual land use/land cover in Brazil, South America. The proposed method applies the Linear Spectral Mixing Model (LSMM) to PROBA-V datasets to derive vegetation, soil and shade fraction images for global and regional analysis. We used 1 km composites of 10 days (S10-TOC - 10-daily global composites, Top-Of-Canopy) for the South America and 100 m composites of 5 days (S5-TOC - 5-daily global composites, Top-Of-Canopy) for the Mato Grosso State, Brazilian Amazon. Then we built the 1km and 100m composites corresponding to the three endmembers with the highest fraction values during the year 2015. In that manner we could detect and map the areas occupied by main crops in Brazil, during the 2015 year, using the vegetation fraction composites. Also, PROBA-V images were acquired in the dry season, on 21 June, 26 July and 11 August 2015 to show the potentiality of these images to assess the land cover changes due to deforestation and forest degradation by fire. The agricultural areas mapped using 1km dataset were compared with 100m results for the Mato Grosso State showing a difference of 12% (58,834 km2 and 66,490 km2 , respectively). The results are very important for the government and nongovernmental organizations for planning and management of the tropical environment.
AreaSRE
Arrangement 1urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Assessment of land...
Arrangement 2urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > SER > Assessment of land...
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source Directory Contentthere are no files
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4. Conditions of access and use
Languageen
Target Fileshimabukuro_assessment.pdf
User Groupsimone
Reader Groupadministrator
simone
Visibilityshown
Read Permissiondeny from all and allow from 150.163
Update Permissionnot transferred
5. Allied materials
Next Higher Units8JMKD3MGPCW/3ER446E
8JMKD3MGPCW/3F3NU5S
Citing Item Listsid.inpe.br/mtc-m21/2012/07.13.14.45.03 3
sid.inpe.br/mtc-m21/2012/07.13.15.01.20 1
Host Collectionurlib.net/www/2017/11.22.19.04
6. Notes
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7. Description control
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