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1. Identity statement
Reference TypeJournal Article
Sitemtc-m16.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier6qtX3pFwXQZsFDuKxG/CQ2Mg
Repositorysid.inpe.br/marciana/2004/07.21.09.20
Last Update2004:07.21.03.00.00 (UTC) marciana
Metadata Repositorysid.inpe.br/marciana/2004/07.21.09.20.03
Metadata Last Update2018:06.05.01.20.58 (UTC) administrator
Secondary KeyINPE-10984-PRE/6440
ISSN0100-204X
Citation KeyMoreiraAdamRudo:2004:AnEsTe
TitleAnálise espectral e temporal da cultura do café em imagens Landsat/spectral and temporal behavior analysis of coffe crop in Landsat
ProjectSensoriamento Remoto Aplicado à Agricultura
Year2004
MonthMar.
Access Date2024, May 13
Type of Workjournal article
Secondary TypePRE PN
Number of Files1
Size420 KiB
2. Context
Author1 Moreira, Maurício Alves
2 Adami, Marcos
3 Rudorff, Bernardo Friedrich Theodor
Resume Identifier1 8JMKD3MGP5W/3C9JHT4
2
3 8JMKD3MGP5W/3C9JGKP
Group1 DSR-INPE-MCT-BR
2
3 DSR-INPE-MCT-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais (INPE)
JournalPesquisa Agropecuária Brasileira
Volume39
Number3
Pages223-231
History (UTC)2006-03-21 11:07:42 :: marciana -> administrator ::
2006-09-28 20:58:34 :: administrator -> banon ::
2006-09-28 21:24:16 :: banon -> marciana ::
2007-10-10 16:44:39 :: marciana -> administrator ::
2014-02-13 17:47:06 :: administrator -> marciana :: 2004
2016-10-08 00:05:55 :: marciana -> administrator :: 2004
2018-06-05 01:20:58 :: administrator -> marciana :: 2004
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
KeywordsAGRICULTURA
Coffea arabica
sensoriamento remoto
geoprocessamento
previsão de safra
Coffea arabica
remote sensing
geoprocessing
crop forecast
AbstractA definição da resposta espectral da cultura do café é uma das etapas na identificação de lavouras cafeeiras em imagens de satélites de sensoriamento remoto, para fins de mapeamento e estimativa de área plantada. O objetivo deste trabalho foi avaliar o potencial das imagens adquiridas pelos satélites da série Landsat, no mapeamento da cultura do café para a previsão de safras. Foi feita uma análise temporal do comportamento espectral de lavouras de café-formação e café-produção por meio de imagens livres de nuvens adquiridas nos anos de 1999 e 2001. Também foi analisado o comportamento espectral das classes pastagem e mata, que compõem os alvos de maior ocupação na área de estudo. As imagens do período seco foram mais eficientes no mapeamento de lavouras de café-formação e café-produção. As imagens da banda 4 dos dois sensores apresentaram melhor diferenciação espectral entre café e os demais alvos da cena. A reflectância do café-produção apresentou grande variabilidade entre lavouras, que pode ser atribuída à idade, espaçamento de plantas, cultivar, indicando a necessidade de trabalho em campo para a correta identificação das lavouras de café nas imagens Landsat. ABSTRACT: The definition of the spectral response of coffee crop is one of the steps to identify coffee fields in remote sensing images in order to map and estimate planted area. The objective of this work was to analyze the potential of the images acquired by the Landsat series satellites, for coffee crop mapping and forecast. A temporal analysis of the spectral behavior of coffee crop fields under development and under active production was performed through cloud free images acquired in the years of 1999 and 2001. The spectral behavior of pasture and forest was also analyzed due to their relevance in the study area. The results showed that images acquired during the dry season were more efficient to map coffee crop at early development and under production. Band 4 (near infrared) of both sensors (TM and ETM+) presented best performance for spectral differentiation between coffee crop and other scene targets. The analysis of the reflectance values for active producing coffee crop showed a high spectral variability which may be attributed to age, plants spacing, cultivar, indicating a need for field work for the identification of coffee crop in Landsat scenes.
AreaSRE
Arrangementurlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Análise espectral e...
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/6qtX3pFwXQZsFDuKxG/CQ2Mg
zipped data URLhttp://urlib.net/zip/6qtX3pFwXQZsFDuKxG/CQ2Mg
Languagept
Target Filemoreira.pdf
User Groupadministrator
banon
marciana
Reader Groupadministrator
marciana
Visibilityshown
Copy HolderSID/SCD
Archiving Policyallowpublisher allowfinaldraft
Read Permissionallow from all
Update Permissionnot transferred
5. Allied materials
Next Higher Units8JMKD3MGPCW/3ER446E
Citing Item Listsid.inpe.br/mtc-m21/2012/07.13.14.56.26 2
sid.inpe.br/mtc-m21/2012/07.13.14.41 1
DisseminationWEBSCI; PORTALCAPES; SCIELO.
Host Collectionsid.inpe.br/banon/2003/08.15.17.40
6. Notes
Empty Fieldsalternatejournal archivist callnumber copyright creatorhistory descriptionlevel doi e-mailaddress electronicmailaddress format isbn label lineage mark mirrorrepository nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress rightsholder schedulinginformation secondarydate secondarymark session shorttitle sponsor subject tertiarymark tertiarytype url
7. Description control
e-Mail (login)marciana
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