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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitemtc-m16c.sid.inpe.br
Identifier8JMKD3MGPDW34P/45U7M2B
Repositorysid.inpe.br/mtc-m16c/2021/12.09.12.24
Last Update2021:12.09.12.24.20 (UTC) simone
Metadata Repositorysid.inpe.br/mtc-m16c/2021/12.09.12.24.20
Metadata Last Update2023:01.30.13.08.15 (UTC) administrator
ISSN2179-4847
Citation KeyAraújoFreiSilvGalv:2021:MaIrRi
TitleMapping irrigated rice using MSI/Sentinel-2 time series of vegetation indices and Random Forest
FormatOn-line.
Year2021
Access Date2024, May 15
Secondary TypePRE CN
Number of Files1
Size1608 KiB
2. Context
Author1 Araújo, Juliana de Abreu
2 Freire, Allan Henrique Lima
3 Silva, Ricardo Dal'Agnol da
4 Galvão, Lênio Soares
Group1
2
3 DIOTG-CGCT-INPE-MCTI-GOV-BR
4 DIOTG-CGCT-INPE-MCTI-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 juliana.araujo@inpe.br
2 allan.freire@inpe.br
3 ricardo.silva@inpe.br
4 lenio.galvao@inpe.br
EditorVinhas, Lubia (INPE)
Graça, Alan J. Salomão (UERJ)
Conference NameSimpósio Brasileiro de Geoinformática, 22 (GEOINFO)
Conference LocationOn-line
Date29 nov. a 02 dez. 2021
PublisherInstituto Nacional de Pesquisas Espaciais (INPE)
Publisher CitySão José dos Campos
Book TitleAnais
Tertiary TypeFull paper
History (UTC)2021-12-09 12:24:42 :: simone -> administrator :: 2021
2021-12-16 15:23:51 :: administrator -> simone :: 2021
2021-12-16 19:23:01 :: simone -> administrator :: 2021
2023-01-30 13:08:15 :: administrator -> simone :: 2021
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
AbstractThe State of Rio Grande do Sul is the largest producer of irrigated rice in Brazil. The goal of this study was to use a time series of MSI/Sentinel-2 vegetation indices (VIs), such as Normalized Difference Vegetation Index NDVI; and Normalized Difference Water Index NDWI, to extract metrics of irrigated rice cultivation in the municipality of Uruguaiana-RS and map this crop in the 2019/2020 period using Random Forest (RF). Our methodology generated maps with a systematic and cost-efficient benefit for mapping rice between the 2019/2020 period (with a 96,5% of overall classification accuracy), showing consistency with those of available maps from official institutions, and for predicting production in the 2020/2021 period.
AreaSRE
Arrangement 1urlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGCT > Mapping irrigated rice...
Arrangement 2urlib.net > BDMCI > Fonds > GEOINFO > XXII GEOINFO > Mapping irrigated rice...
Arrangement 3urlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGCT > XXII GEOINFO > Mapping irrigated rice...
Arrangement 4urlib.net > BDMCI > Fonds > GEOINFO > Coleção GEOINFO > Mapping irrigated rice...
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/8JMKD3MGPDW34P/45U7M2B
zipped data URLhttp://urlib.net/zip/8JMKD3MGPDW34P/45U7M2B
Languageen
Target FileAraujo_Mapping.pdf
User Groupsimone
Visibilityshown
Copyright Licenseurlib.net/www/2012/11.12.15.19
Rightsholderoriginalauthor yes
5. Allied materials
Next Higher Units8JMKD3MGPCW/46KUATE
8JMKD3MGPDW34P/462CM9S
8JMKD3MGPDW34P/48F29JE
Citing Item Listsid.inpe.br/mtc-m16c/2023/01.30.13.05 1
sid.inpe.br/mtc-m16c/2021/12.16.19.25 1
Host Collectionsid.inpe.br/mtc-m18@80/2008/03.17.15.17
6. Notes
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