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1. Identificação
Tipo de ReferênciaArtigo em Evento (Conference Proceedings)
Sitemtc-m16d.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP7W/3CPP2MS
Repositóriosid.inpe.br/mtc-m19/2012/10.08.17.55
Repositório de Metadadossid.inpe.br/mtc-m19/2012/10.08.17.55.23
Última Atualização dos Metadados2018:06.05.04.13.11 (UTC) administrator
Chave SecundáriaINPE--PRE/
Chave de CitaçãoRudorffAdamRissAgui:2012:BuReSe
TítuloBuilding remote sensing databases for sugarcane and soy monitoring in Mato Grosso
Ano2012
Data de Acesso11 maio 2024
Tipo SecundárioPRE CI
2. Contextualização
Autor1 Rudorff, B. F. T.
2 Adami, M.
3 Risso, J.
4 Aguiar, D. A.
Grupo1 DSR-OBT-INPE-MCTI-GOV-BR
Nome do EventoATBC Annual Meeting, 49.
Localização do EventoBonito-MS, Brasil
Data18-22 June 2012
Histórico (UTC)2012-10-08 17:55:23 :: marcelo.pazos -> administrator ::
2012-10-31 23:56:39 :: administrator -> marcelo.pazos :: 2012
2012-12-21 18:15:29 :: marcelo.pazos -> administrator :: 2012
2018-06-05 04:13:11 :: administrator -> marcelo.pazos@inpe.br :: 2012
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Palavras-ChaveRemote sensing
sugarcane
soy
land-use
Mato Grosso
ResumoRemote sensing images have been used to map the sugarcane crop since 2003 in South central region of Brazil which is responsible for almost 90% of Brazilians sugarcane production. These maps are used to forecast sugarcane area available for harvest, to evaluate the direct land-use change related to sugarcane expansion, and to monitor the pre-harvest sugarcane burning practice. In the state of Mato Grosso (MT) the sugarcane area has increased almost 70% during the last decade going from 170 to 288 thousand hectares. Sugarcane expansion in MT has been observed mainly on pasture land (77%) followed by annual crops (21%) and forest (2%). The relative area of pre-harvest burning has decreased in MT from 44% in 2006 to 17% in 2011. The remote sensing images have provided objective information contributing to several environmental issues related to sustainable ethanol production from sugarcane in MT. Another application of remote sensing images in MT is the monitoring of soy plantations in deforested land in the Amazon biome. Within the Soy Moratorium context farmers who planted soy in opened areas after July 24, 2006, would not have their production commercialized by international soy trader companies. Remote sensing time series of the MODIS sensor combined with Landsat images, aerial survey, and field work have been an effective method to detect and evaluate the amount of soy plantation in recent deforestations. From 2007 to 2010 a total of 688,460 ha have been deforested in the Amazon biome of MT according to the Amazon Deforestation Monitoring Project (PRODES). Soy plantations were found in 8,385 ha which corresponds to 1.2% of the total deforested area in MT during the Soy Moratorium. Results indicate that the moratorium is having an inhibitory effect on deforestation and soy has been a minor driver of recent deforestation.
ÁreaSRE
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4. Condições de acesso e uso
Grupo de Usuáriosadministrator
marcelo.pazos@inpe.br
Visibilidadeshown
Permissão de Leituraallow from all
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
VinculaçãoTrabalho Vinculado à Tese/Dissertação
Repositório Espelhosid.inpe.br/mtc-m19@80/2009/08.21.17.02.53
Unidades Imediatamente Superiores8JMKD3MGPCW/3ER446E
Acervo Hospedeirosid.inpe.br/mtc-m19@80/2009/08.21.17.02
6. Notas
Campos Vaziosaffiliation archivingpolicy archivist booktitle callnumber copyholder copyright creatorhistory descriptionlevel dissemination doi e-mailaddress edition editor electronicmailaddress format isbn issn label language lineage mark nextedition notes numberoffiles numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project publisher publisheraddress readergroup resumeid rightsholder schedulinginformation secondarydate secondarymark serieseditor session shorttitle size sponsor subject targetfile tertiarytype type url versiontype volume
7. Controle da descrição
e-Mail (login)marcelo.pazos@inpe.br
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