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3 referências similares encontradas (inclusive a original) buscando em 22 dentre 22 Arquivos.
Data e hora local de busca: 16/05/2024 11:56.
1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m21b.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W34P/3MAKMES
Repositóriosid.inpe.br/mtc-m21b/2016/08.22.17.01
Última Atualização2016:08.22.17.02.54 (UTC) administrator
Repositório de Metadadossid.inpe.br/mtc-m21b/2016/08.22.17.01.47
Última Atualização dos Metadados2021:03.06.19.31.12 (UTC) administrator
DOI10.1175/EI-D-15-0016.1
ISSN1087-3562
Chave de CitaçãoPinheiroEsVaHoGoMu:2016:BRReSo
TítuloForest degradation associated with logging frontier expansion in the Amazon: The BR-163 region in southwestern Pará, Brazil
Ano2016
MêsJuly
Data de Acesso16 maio 2024
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho1955 KiB
2. Contextualização
Autor1 Pinheiro, Taise Farias
2 Escada, Maria Isabel Sobral
3 Valeriano, Dalton de Morisson
4 Hostert, P.
5 Gollnow, F.
6 Muller, H.
Identificador de Curriculo1
2 8JMKD3MGP5W/3C9JHRG
3 8JMKD3MGP5W/3C9JGT4
Grupo1 CST-CST-SPG-INPE-MCTI-GOV-BR
2 DPI-OBT-INPE-MCTI-GOV-BR
3 AMZ-OBT-INPE-MCTI-GOV-BR
Afiliação1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Instituto Nacional de Pesquisas Espaciais (INPE)
4 Humboldt-Universität zu Berlin
5 Humboldt-Universität zu Berlin
6 Humboldt-Universität zu Berlin
Endereço de e-Mail do Autor1 taise.pinheiro@inpe.br
2 isabel.escada@inpe.br
3 dalton.valeriano@inpe.br
RevistaEarth Interactions
Volume20
Páginas17
Nota SecundáriaA1_INTERDISCIPLINAR A1_GEOGRAFIA A1_CIÊNCIAS_AMBIENTAIS A2_GEOCIÊNCIAS A2_CIÊNCIAS_AGRÁRIAS_I B2_CIÊNCIAS_BIOLÓGICAS_I B2_BIOTECNOLOGIA B2_BIODIVERSIDADE B3_ASTRONOMIA_/_FÍSICA
Histórico (UTC)2016-08-22 17:01:47 :: simone -> administrator ::
2016-08-22 17:01:47 :: administrator -> simone :: 2016
2016-08-22 17:02:54 :: simone -> administrator :: 2016
2021-03-06 19:31:12 :: administrator -> simone :: 2016
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Tipo de Versãopublisher
Palavras-ChaveGeographic location/entity
Amazon region
Observational techniques and algorithms
Data mining
Remote sensing
Applications
Deforestation
ResumoForest degradation is the long-term and gradual reduction of canopy cover due to forest fire and unsustainable logging. A critical consequence of this process is increased atmospheric carbon emissions. Although this issue is gaining attention, forest degradation in the Brazilian Amazon has not yet been properly addressed. The claim here is that this process is not constant throughout Amazonia and varies according to colonization frontiers. Moreover, the accurate characterization of degradation requires lengthy observation periods to track gradual forest changes. The forest degradation process, the associated timeframe, spatial patterns, trajectories, and extent were characterized in the context of the Amazon frontiers of the 1990s using 28 years (1984-2011) of annual Landsat images. Given the large database and the characteristic of logging and burning, this study used data mining techniques and cell approach classification to analyze the spatial patterns and to construct associated trajectories. Multi-temporal analysis indicated that forest degradation in the last two decades has caused as many interannual landscape changes as have clear-cuts. In addition, selective logging, as a major aspect of forest degradation, affected a larger amount of forest land than did forest fire. Although a large proportion of logged forest was deforested in the following years, selective logging did not always precede complete deforestation. Instead, the results indicate that logged forests were abandoned for approximately 4 years before clearance. Throughout the forest degradation process, there were no recurrent forest fires, and loggers did not revisit the forest. Forest degradation mostly occurred as a result of a single selective logging event and was associated with low-intensity forest damage.
ÁreaCST
Arranjo 1urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDPI > Forest degradation associated...
Arranjo 2urlib.net > BDMCI > Fonds > Produção anterior à 2021 > COAMZ > Forest degradation associated...
Arranjo 3urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > CST > Forest degradation associated...
Conteúdo da Pasta docacessar
Conteúdo da Pasta sourcenão têm arquivos
Conteúdo da Pasta agreement
agreement.html 22/08/2016 14:01 1.0 KiB 
4. Condições de acesso e uso
URL dos dadoshttp://mtc-m21b.sid.inpe.br/ibi/8JMKD3MGP3W34P/3MAKMES
URL dos dados zipadoshttp://mtc-m21b.sid.inpe.br/zip/8JMKD3MGP3W34P/3MAKMES
Idiomaen
Arquivo Alvopinheiro_forest.pdf
Grupo de Usuáriossimone
Grupo de Leitoresadministrator
simone
Visibilidadeshown
Política de Arquivamentodenypublisher6 allowfinaldraft
Permissão de Leituraallow from all
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Repositório Espelhourlib.net/www/2011/03.29.20.55
Unidades Imediatamente Superiores8JMKD3MGPCW/3EQCCU5
8JMKD3MGPCW/3ETL435
8JMKD3MGPCW/449U4PL
Lista de Itens Citandosid.inpe.br/bibdigital/2013/09.09.15.05 2
sid.inpe.br/bibdigital/2021/03.06.05.18 2
sid.inpe.br/mtc-m21/2012/07.13.14.55.44 1
DivulgaçãoWEBSCI; PORTALCAPES; MGA.
Acervo Hospedeirosid.inpe.br/mtc-m21b/2013/09.26.14.25.20
6. Notas
Campos Vaziosalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark nextedition notes number orcid parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url
7. Controle da descrição
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1. Identificação
Tipo de ReferênciaArtigo em Evento (Conference Proceedings)
Sitemtc-m21c.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W34R/3U5ULQE
Repositóriosid.inpe.br/mtc-m21c/2019/09.30.12.38
Repositório de Metadadossid.inpe.br/mtc-m21c/2019/09.30.12.38.43
Última Atualização dos Metadados2020:01.06.11.42.22 (UTC) administrator
Chave SecundáriaINPE--PRE/
Chave de CitaçãoRodriguesEsca:2019:FaAsFo
TítuloFactors associated with forest degradation on an Amazonian logging frontier area in southwestern Pará, Brazil
Ano2019
Data de Acesso16 maio 2024
Tipo SecundárioPRE CI
2. Contextualização
Autor1 Rodrigues, Danilo Avancini
2 Escada, Maria Isabel Sobral
Identificador de Curriculo1
2 8JMKD3MGP5W/3C9JHRG
Grupo1 DIDSR-CGOBT-INPE-MCTIC-GOV-BR
2 DIDPI-CGOBT-INPE-MCTIC-GOV-BR
Afiliação1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
Endereço de e-Mail do Autor1 danilo.rodrigues@inpe.br
2 isabel.escada@inpe.br
Nome do EventoCongresso Mundial da IUFRO
Localização do EventoCuritiba, PR
Data29 set. - 05 out.
Histórico (UTC)2019-09-30 12:38:43 :: simone -> administrator ::
2020-01-06 11:42:22 :: administrator -> simone :: 2019
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
ResumoForest degradation is a long-term process that reduces forests biodiversity and impoverishes the ecosystems. Understanding the factors that generates and intensifies forest degradation, and its consequences, allows directing public policies to prevent this process. This study performed a spatial regression analysis between forest degradation intensity (dependent variable), environmental, political and economic variables in Novo Progresso (PA), a logging frontier expansion area in the Amazon Forest, from 2009 to 2011. The independent variables were related to fire occurrence, deforestation, conservation units, indigenous lands, logging poles and roads. The relationship between the dependent and independent variables (R2 and p-value) was individually tested, and the variables with the highest relationship were included in the regression model. Then, the variables with multicollinearity were excluded from the model with the stepwise backward technique. It was used the Moran test to detect spatial dependency on the data. Spatial dependency was detected with statistical significance (I = 0,2434; p-valor = 0 e z-score = 9,91), justifying the use of a spatial regression model. The Lagrange Multiplier test pointed out Spatial Lag Model as the best model adjusted to the data. The variables area of deforestation and total edge area explained 40% (R2 -adj: 0,4092) of the forest degradation intensity, indicating that fragmented forest and the forest areas closest to deforested areas are more likely to suffer higher degradation. For further studies, the R2 of the model can be raised by adding variables related to pasture expansion, forest management, colonization projects and updating the roads data yearly.
ÁreaSRE
Arranjo 1urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDPI > Factors associated with...
Arranjo 2urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Factors associated with...
Conteúdo da Pasta docnão têm arquivos
Conteúdo da Pasta sourcenão têm arquivos
Conteúdo da Pasta agreement
agreement.html 30/09/2019 09:38 1.0 KiB 
4. Condições de acesso e uso
Idiomaen
Grupo de Usuáriossimone
Visibilidadeshown
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/3EQCCU5
8JMKD3MGPCW/3ER446E
Acervo Hospedeirourlib.net/www/2017/11.22.19.04
6. Notas
Campos Vaziosarchivingpolicy archivist booktitle callnumber copyholder copyright creatorhistory descriptionlevel dissemination doi e-mailaddress edition editor format isbn issn keywords label lineage mark mirrorrepository nextedition notes numberoffiles numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project publisher publisheraddress readergroup readpermission rightsholder schedulinginformation secondarydate secondarymark serieseditor session shorttitle size sponsor subject targetfile tertiarymark tertiarytype type url versiontype volume
7. Controle da descrição
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1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Siteplutao.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W/3HG7NM9
Repositóriosid.inpe.br/plutao/2014/12.01.14.09.43
Última Atualização2017:07.21.17.50.55 (UTC) marciana
Repositório de Metadadossid.inpe.br/plutao/2014/12.01.14.09.44
Última Atualização dos Metadados2018:06.04.23.39.44 (UTC) administrator
DOI10.1080/2150704X.2014.967880
ISSN2150-704X
Rótulolattes: 1913003589198061 1 ShimabukuroBeucGrecAcha:2014:AsFoDe
Chave de CitaçãoShimabukuroBeucGrecAcha:2014:AsFoDe
TítuloAssessment of forest degradation in Brazilian Amazon due to selective logging and fires using time series of fraction images derived from Landsat ETM+ images
Ano2014
Data de Acesso16 maio 2024
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho684 KiB
2. Contextualização
Autor1 Shimabukuro, Yosio Edemir
2 Beuchle, René
3 Grecchi, Rosana Cristina
4 Achard, Frédéric
Identificador de Curriculo1 8JMKD3MGP5W/3C9JJCQ
Grupo1 DSR-OBT-INPE-MCTI-GOV-BR
Afiliação1 Instituto Nacional de Pesquisas Espaciais (INPE)
RevistaRemote Sensing Letters
Volume5
Número9
Páginas773-782
Nota SecundáriaA2_GEOGRAFIA B2_INTERDISCIPLINAR B3_GEOCIÊNCIAS B4_CIÊNCIAS_AMBIENTAIS
Histórico (UTC)2014-12-01 14:09:44 :: lattes -> administrator ::
2016-08-19 14:35:05 :: administrator -> marciana :: 2014
2017-07-21 17:50:55 :: marciana -> administrator :: 2014
2018-06-04 23:39:44 :: administrator -> marciana :: 2014
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Tipo de Versãopublisher
ResumoA method has been developed to identify and map areas of forest degradation caused by either selective logging or fires in tropical humid ecosystems. Our study area is located in the Mato Grosso state of Brazil, in a region known as Deforestation Arc. Eight consecutive Landsat Enhanced Thematic Mapper Plus (ETM+) images were available over this study area during the dry season of 2002 (from June to October). The proposed method is based on multi-temporal image segmentation and classification of a data set of soil and shade fraction images derived from Landsat ETM+ imagery. Areas of selectively logged forest are identified and mapped from the soil fraction images, whereas burned forest areas are identified and mapped from the shade fraction images combined with a map of deforestation happening during 2002. The main benefit of this approach is the capability to discriminate selectively logged forest from burned forest, which is a very important issue for estimating carbon emissions from forest degradation.
ÁreaSRE
Arranjourlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Assessment of forest...
Conteúdo da Pasta docacessar
Conteúdo da Pasta sourcenão têm arquivos
Conteúdo da Pasta agreementnão têm arquivos
4. Condições de acesso e uso
URL dos dadoshttp://urlib.net/ibi/8JMKD3MGP3W/3HG7NM9
URL dos dados zipadoshttp://urlib.net/zip/8JMKD3MGP3W/3HG7NM9
Idiomaen
Grupo de Usuárioslattes
marcelo.pazos@inpe.br
Grupo de Leitoresadministrator
marciana
Visibilidadeshown
Política de Arquivamentodenypublisher denyfinaldraft12
Permissão de Leituraallow from all
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Repositório Espelhoiconet.com.br/banon/2006/11.26.21.31
Unidades Imediatamente Superiores8JMKD3MGPCW/3ER446E
DivulgaçãoWEBSCI; COMPENDEX; SCOPUS.
Acervo Hospedeirodpi.inpe.br/plutao@80/2008/08.19.15.01
6. Notas
Campos Vaziosalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress electronicmailaddress format isbn keywords lineage mark month nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject targetfile tertiarymark tertiarytype url
7. Controle da descrição
e-Mail (login)marciana
atualizar