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1. Identity statement
Reference TypeJournal Article
Siteplutao.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
IdentifierJ8LNKAN8RW/36KNM6T
Repositorydpi.inpe.br/plutao@80/2009/12.22.14.50.58
Last Update2010:09.15.13.10.10 (UTC) marciana
Metadata Repositorydpi.inpe.br/plutao@80/2009/12.22.14.51.01
Metadata Last Update2018:06.05.00.12.54 (UTC) administrator
Secondary KeyINPE--PRE/
DOI10.1590/S0100-69162009000300011
ISSN0100-6916
Labellattes: 7484071887086439 3 AguiarRudoAdamShim:2009:ImSeRe
Citation KeyAguiarRudoAdamShim:2009:ImSeRe
TitleImagens de sensoriamento remoto no monitoramento da colheita da cana-de-açúcar / Remote sensing images for monitoring the sugarcane harvest
Year2009
Access Date2024, May 19
Type of Workjournal article
Secondary TypePRE PN
Number of Files1
Size197 KiB
2. Context
Author1 Aguiar, Daniel Alves de
2 Rudorff, Bernardo Friedrich Theodor
3 Adami, Marcos
4 Shimabukuro, Yosio Edemir
Resume Identifier1
2 8JMKD3MGP5W/3C9JGKP
Group1 DSR-OBT-INPE-MCT-BR
2 DSR-OBT-INPE-MCT-BR
3 DSR-OBT-INPE-MCT-BR
4 DSR-OBT-INPE-MCT-BR
Affiliation1 undefined
2 undefined
3 undefined
4 undefined
Author e-Mail Address1 daniel@dsr.inpe.br
2 bernardo@ltid.inpe.br
3 adami@dsr.inpe.br
e-Mail Addressadami@dsr.inpe.br
JournalEngenharia Agrícola
Volume29
Number3
Pages440-451
Secondary MarkB4_CIÊNCIA_DE_ALIMENTOS B2_CIÊNCIAS_AGRÁRIAS B5_CIÊNCIAS_BIOLÓGICAS_I C_EDUCAÇÃO B3_ENGENHARIAS_I B2_ENGENHARIAS_II B3_ENGENHARIAS_III B3_ENGENHARIAS_IV B2_GEOCIÊNCIAS B1_INTERDISCIPLINAR B2_MATEMÁTICA_/_PROBABILIDADE_E_ESTATÍSTICA B4_MEDICINA_VETERINÁRIA B3_ZOOTECNIA_/_RECURSOS_PESQUEIROS
History (UTC)2009-12-23 14:00:45 :: lattes -> marciana ::
2010-01-04 17:30:21 :: marciana -> banon ::
2010-05-10 14:48:16 :: banon -> administrator ::
2010-05-12 02:06:29 :: administrator -> marciana ::
2012-01-17 11:06:44 :: marciana -> administrator :: 2009
2016-06-04 01:08:38 :: administrator -> marciana :: 2009
2016-10-09 18:12:56 :: marciana -> administrator :: 2009
2018-06-05 00:12:54 :: administrator -> marciana :: 2009
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
Keywordsqueima da cana
modelo linear de mistura espectral
cana crua
sugarcane burning
linear spectral mixture model
raw sugarcane
AbstractA prática agrícola da queima da palha da cana-de-açúcar tem por finalidade facilitar a colheita manual. No Estado de São Paulo, essa prática está submetida a uma rigorosa legislação ambiental devido ao impacto negativo para o meio ambiente. Está previsto que a queima da cana deve ser gradativamente eliminada até 2017. O presente trabalho tem por objetivo avaliar a área de cana colhida com e sem queima em todo o Estado de São Paulo. Para tal, foram utilizadas as imagens disponíveis do sensor TM a bordo do satélite Landsat-5. As imagens foram adquiridas de abril a dezembro de 2006, que corresponde ao período de colheita da cana. Essas imagens foram analisadas por meio de técnicas de processamento digital e interpretação visual. A área de cana colhida sem queima foi avaliada em 1.085.730 ha e corresponde a 34,7% do total da área mecanizável colhida. Isso atende à legislação ambiental que, para o ano de 2006, previa que 30% da área de cana fosse colhida sem queima. A sequência temporal de imagens adquiridas entre abril e dezembro permite identificar as áreas de cana colhidas sem queima e, portanto, distingui-las das áreas de cana colhidas com queima. ABSTRACT: The agricultural practice of burning the sugarcane straw has the intention of facilitating the manual harvest. In São Paulo state this practice is subjected to a rigorous environmental legislation, due to the negative impact for the environment. It is anticipated that sugarcane burning should gradually be eliminated until 2017. The present work has the objective of evaluating the sugarcane area harvested with and without burning in the entire state of São Paulo. For that purpose, available images from TM sensor, on board of Landsat-5 satellite, were used. Images were acquired from April to December 2006, which corresponds to the sugarcane harvest period. These images were analyzed by using digital processing and visual interpretation techniques. The sugarcane area harvested without burning was estimated as 1,085,730 ha and corresponds to 34.7% of the total mechanized harvested area. This is according to the expectation of 30% established by the environmental legislation for the year of 2006. The temporal image sequence acquired between April and December allows us to identify the sugarcane areas harvested without burning and, therefore, distinguish them from the sugarcane areas harvested with burning.
AreaSRE
Arrangementurlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Imagens de sensoriamento...
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/J8LNKAN8RW/36KNM6T
zipped data URLhttp://urlib.net/zip/J8LNKAN8RW/36KNM6T
Languagept
Target Filea11v29n3.pdf
User Groupadministrator
lattes
banon
administrator
marciana
Reader Groupadministrator
marciana
Visibilityshown
Archiving Policyallowpublisher allowfinaldraft
Update Permissionnot transferred
5. Allied materials
Next Higher Units8JMKD3MGPCW/3ER446E
Citing Item Listsid.inpe.br/mtc-m21/2012/07.13.14.41 1
Host Collectiondpi.inpe.br/plutao@80/2008/08.19.15.01
6. Notes
Empty Fieldsalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel dissemination format isbn lineage mark mirrorrepository month nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readpermission rightsholder schedulinginformation secondarydate session shorttitle sponsor subject tertiarymark tertiarytype url
7. Description control
e-Mail (login)marciana
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