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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitemtc-m21b.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34P/3HP89B3
Repositorysid.inpe.br/mtc-m21b/2015/01.13.18.16.40
Last Update2015:01.15.12.36.53 (UTC) administrator
Metadata Repositorysid.inpe.br/mtc-m21b/2015/01.13.18.16.41
Metadata Last Update2018:06.04.03.04.44 (UTC) administrator
DOI10.1109/IGARSS.2014.6947635
ISBN9781479957750
Labelscopus 2015-01 MelloAtzbForm:2014:NeReTi
Citation KeyMelloAtzbForm:2014:NeReTi
TitleNear real time yield estimation for sugarcane in Brazil combining remote sensing and official statistical data
Year2014
Access Date2024, Apr. 26
Secondary TypePRE CI
Number of Files1
Size810 KiB
2. Context
Author1 Mello, Marcio Pupin
2 Atzberger, Clement
3 Formaggio, Antonio Roberto
Resume Identifier1
2
3 8JMKD3MGP5W/3C9JGJQ
Group1
2
3 DSR-OBT-INPE-MCTI-GOV-BR
Affiliation1 Boeing Company, Boeing Research and Technology - Brazil (BRandT-Brazil), Estrada Dr Altino Bondesan 500 (Parque Tecnologico)Sao Jose dos Campos SP, Brazil
2 University of Natural Resources and Life Sciences (BOKU), Institute of Surveying, Remote Sensing and Land Information (IVFL), Peter Jordan StraÃxe 82Vienna, Austria
3 Instituto Nacional de Pesquisas Espaciais (INPE)
e-Mail Addressmarcelo.pazos@inpe.br
Conference NameIEEE International Geoscience and Remote Sensing Symposium, (IGARSS).
Conference LocationQuebec City
DateJuly 13-18, 2014.
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages5064-5067
History (UTC)2018-06-04 03:04:44 :: administrator -> marcelo.pazos@inpe.br :: 2014
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
AbstractBesides energy concerns, the cultivation of sugarcane in Brazil plays an important role in the development of its agriculture, economy, and environment. However, there is no research on a broad operational yield monitoring system for sugarcane in Brazil based on remote sensing technologies. This paper aims at proposing a method to fill this gap. Five municipalities located in the west corner of São Paulo State, Brazil, were used to run and test a new method, which estimates the yield based on a combination of remote sensing and official historical data without using crop masks. Using data from 2003 to 2012, results stated that sugarcane yield estimates from January to March using remote sensing data tends to match strongly with the official yield, with the benefit of being known before the harvest season. Although we only tested five municipalities, we do expect that the proposed method might be applicable to wider regions as well as to other crops.
AreaSRE
Arrangementurlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Near real time...
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/8JMKD3MGP3W34P/3HP89B3
zipped data URLhttp://urlib.net/zip/8JMKD3MGP3W34P/3HP89B3
Languageen
Target File06947635.pdf
User Groupadministrator
marcelo.pazos@inpe.br
Visibilityshown
Update Permissionnot transferred
5. Allied materials
LinkingTrabalho não Vinculado à Tese/Dissertação
Next Higher Units8JMKD3MGPCW/3ER446E
Citing Item Listsid.inpe.br/bibdigital/2013/09.13.21.11 3
Host Collectionsid.inpe.br/mtc-m21b/2013/09.26.14.25.20
6. Notes
Empty Fieldsarchivingpolicy archivist booktitle callnumber copyholder copyright creatorhistory descriptionlevel dissemination edition editor electronicmailaddress format issn keywords lineage mark mirrorrepository nextedition notes numberofvolumes orcid organization parameterlist parentrepositories previousedition previouslowerunit progress project publisheraddress readergroup readpermission rightsholder schedulinginformation secondarydate secondarykey secondarymark serieseditor session shorttitle sponsor subject tertiarytype type url volume
7. Description control
e-Mail (login)marcelo.pazos@inpe.br
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