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1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m21b.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W34P/3P789DP
Repositóriosid.inpe.br/mtc-m21b/2017/06.29.19.11
Última Atualização2017:06.29.19.11.50 (UTC) administrator
Repositório de Metadadossid.inpe.br/mtc-m21b/2017/06.29.19.11.50
Última Atualização dos Metadados2018:06.04.02.27.33 (UTC) administrator
DOI10.3390/rs9040381
ISSN2072-4292
Chave de CitaçãoFengLuMoDuCaOl:2017:ExSpDi
TítuloExamining spatial distribution and dynamic change of urban Llnd covers in the Brazilian Amazon using multitemporal multisensor high spatial resolution satellite imagery
Ano2017
MêsApr.
Data de Acesso27 nov. 2022
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho5701 KiB
2. Contextualização
Autor1 Feng, Yunyun
2 Lu, Dengsheng
3 Moran, Emilio F.
4 Dutra, Luciano Vieira
5 Calvi, Miquéias Freitas
6 Oliveira, Maria Antonia Falcão de
Identificador de Curriculo1
2
3
4 8JMKD3MGP5W/3C9JHMA
Grupo1
2
3
4 DIDPI-CGOBT-INPE-MCTIC-GOV-BR
5
6 CGOBT-CGOBT-INPE-MCTIC-GOV-BR
Afiliação1 Zhejiang Agriculture and Forestry University
2 Zhejiang Agriculture and Forestry University
3 Michigan State University
4 Instituto Nacional de Pesquisas Espaciais (INPE)
5 Universidade Federal do Pará (UFPA)
6 Instituto Nacional de Pesquisas Espaciais (INPE)
Endereço de e-Mail do Autor1 fengyyfm@163.com
2 luds@zafu.edu.cn
3 moranef@msu.edu
4 dutra@dpi.inpe.br
5 mcalvi@ufpa.br
6 marian.florestal@gmail.com
RevistaRemote Sensing
Volume9
Número4
Nota SecundáriaB3_GEOGRAFIA B3_ENGENHARIAS_I B4_GEOCIÊNCIAS B4_CIÊNCIAS_AMBIENTAIS B5_CIÊNCIAS_AGRÁRIAS_I
Histórico (UTC)2017-06-29 19:11:50 :: simone -> administrator ::
2017-06-29 19:11:51 :: administrator -> simone :: 2017
2017-06-29 19:13:04 :: simone -> administrator :: 2017
2018-06-04 02:27:33 :: administrator -> simone :: 2017
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-Chaveurban land-cover change
high spatial resolution satellite images
multisensor data
change detection technique
moist tropical region
Belo Monte hydroelectric dam construction
ResumoThe construction of the Belo Monte hydroelectric dam began in 2011, resulting in rapidly increased population from less than 80,000 persons before 2010 to more than 150,000 persons in 2012 in Altamira, Para State, Brazil. This rapid urbanization has produced many problems in urban planning and management, as well as challenging environmental conditions, requiring monitoring of urban land-cover change at high temporal and spatial resolutions. However, the frequent cloud cover in the moist tropical region is a big problem, impeding the acquisition of cloud-free optical sensor data. Thanks to the availability of different kinds of high spatial resolution satellite images in recent decades, RapidEye imagery in 2011 and 2012, Pleiades imagery in 2013 and 2014, SPOT 6 imagery in 2015, and CBERS imagery in 2016 with spatial resolutions from 0.5 m to 10 m were collected for this research. Because of the difference in spectral and spatial resolutions among these satellite images, directly conducting urban land-cover change using conventional change detection techniques, such as image differencing and principal component analysis, was not feasible. Therefore, a hybrid approach was proposed based on integration of spectral and spatial features to classify the high spatial resolution satellite images into six land-cover classes: impervious surface area (ISA), bare soil, building demolition, water, pasture, and forest/plantation. A post-classification comparison approach was then used to detect urban land-cover change annually for the periods between 2011 and 2016. The focus was on the analysis of ISA expansion, the dynamic change between pasture and bare soil, and the changes in forest/plantation. This study indicates that the hybrid approach can effectively extract six land-cover types with overall accuracy of over 90%. ISA increased continuously through conversion from pasture and bare soil. The Belo Monte dam construction resulted in building demolition in 2015 in low-lying areas along the rivers and an increase in water bodies in 2016. Because of the dam construction, forest/plantation and pasture decreased much faster, while ISA and water increased much faster in 2011-2016 than they had between 1991 and 2011. About 50% of the increased annual deforestation area can be attributed to the dam construction between 2011 and 2016. The spatial patterns of annual urban land-cover distribution and rates of dynamic change provided important data sources for making better decisions for urban management and planning in this city and others experiencing such explosive demographic change.
ÁreaSRE
Arranjo 1urlib.net > DIDPI > Examining spatial distribution...
Arranjo 2urlib.net > BDMCI > Fonds > Produção anterior à 2021 > CGOBT > Examining spatial distribution...
Conteúdo da Pasta docacessar
Conteúdo da Pasta sourcenão têm arquivos
Conteúdo da Pasta agreement
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4. Condições de acesso e uso
URL dos dadoshttp://urlib.net/ibi/8JMKD3MGP3W34P/3P789DP
URL dos dados zipadoshttp://urlib.net/zip/8JMKD3MGP3W34P/3P789DP
Idiomaen
Arquivo Alvofeng_examining.pdf
Grupo de Usuáriossimone
Grupo de Leitoresadministrator
simone
Visibilidadeshown
Política de Arquivamentoallowpublisher allowfinaldraft
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/3EQCCU5
8JMKD3MGPCW/3EU2H28
DivulgaçãoWEBSCI; PORTALCAPES; MGA; COMPENDEX; SCOPUS.
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 mirrorrepository nextedition notes orcid pages parameterlist parentrepositories previousedition previouslowerunit progress project readpermission rightsholder secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url
7. Controle da descrição
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