High spatial resolution land use and land cover mapping of the Brazilian Legal Amazon in 2008 using Landsat-5/TM and MODIS data.

Detalhes bibliográficos
Autor(a) principal: ALMEIDA, C. A. de
Data de Publicação: 2016
Outros Autores: COUTINHO, A. C., ESQUERDO, J. C. D. M., ADAMI, M., VENTURIERI, A., DINIZ, C. G., DESSAY, N., DURIEUX, L., GOMES, A. R.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
Texto Completo: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1047957
http://dx.doi.org/10.1590/1809-4392201505504
Resumo: Understanding spatial patterns of land use and land cover is essential for studies addressing biodiversity, climate change and environmental modeling as well as for the design and monitoring of land use policies. The aim of this study was to create a detailed map of land use land cover of the deforested areas of the Brazilian Legal Amazon up to 2008. Deforestation data from and uses were mapped with Landsat-5/TM images analysed with techniques, such as linear spectral mixture model, threshold slicing and visual interpretation, aided by temporal information extracted from NDVI MODIS time series. The result is a high spatial resolution of land use and land cover map of the entire Brazilian Legal Amazon for the year 2008 and corresponding calculation of area occupied by different land use classes. The results showed that the four classes of Pasture covered 62% of the deforested areas of the Brazilian Legal Amazon, followed by Secondary Vegetation with 21%. The area occupied by Annual Agriculture covered less than 5% of deforested areas; the remaining areas were distributed among six other land use classes. The maps generated from this project ? called TerraClass - are available at INPE?s web site (http://www.inpe.br/cra/projetos_pesquisas/terraclass2008.php)
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spelling High spatial resolution land use and land cover mapping of the Brazilian Legal Amazon in 2008 using Landsat-5/TM and MODIS data.Desflorestamento TropicalTerraClassProcessamento de ImagensSensoriamento RemotoRemote sensingImage analysisDeforestationUnderstanding spatial patterns of land use and land cover is essential for studies addressing biodiversity, climate change and environmental modeling as well as for the design and monitoring of land use policies. The aim of this study was to create a detailed map of land use land cover of the deforested areas of the Brazilian Legal Amazon up to 2008. Deforestation data from and uses were mapped with Landsat-5/TM images analysed with techniques, such as linear spectral mixture model, threshold slicing and visual interpretation, aided by temporal information extracted from NDVI MODIS time series. The result is a high spatial resolution of land use and land cover map of the entire Brazilian Legal Amazon for the year 2008 and corresponding calculation of area occupied by different land use classes. The results showed that the four classes of Pasture covered 62% of the deforested areas of the Brazilian Legal Amazon, followed by Secondary Vegetation with 21%. The area occupied by Annual Agriculture covered less than 5% of deforested areas; the remaining areas were distributed among six other land use classes. The maps generated from this project ? called TerraClass - are available at INPE?s web site (http://www.inpe.br/cra/projetos_pesquisas/terraclass2008.php)CLÁUDIO APARECIDO DE ALMEIDA, INPE; ALEXANDRE CAMARGO COUTINHO, CNPTIA; JÚLIO CÉSAR DALLA MORA ESQUERDO, CNPTIA; MARCOS ADAMI, INPE; ADRIANO VENTURIERI, CPATU; CESAR GUERREIRO DINIZ, INPE; NADINE DESSAY, Institut de Recherche pour le Développement (IRD); Laurent DURIEUX, Institut de Recherche pour le Développement (IRD); ALESSANDRA RODRIGUES GOMES, INPE.ALMEIDA, C. A. deCOUTINHO, A. C.ESQUERDO, J. C. D. M.ADAMI, M.VENTURIERI, A.DINIZ, C. G.DESSAY, N.DURIEUX, L.GOMES, A. R.2016-06-29T07:53:44Z2016-06-29T07:53:44Z2016-06-2820162016-06-29T07:53:44Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleActa Amazonica, Manaus, v. 46, n. 3, p. 291-302, July/Sept. 2016.http://www.alice.cnptia.embrapa.br/alice/handle/doc/1047957http://dx.doi.org/10.1590/1809-4392201505504enginfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2017-08-16T03:05:23Zoai:www.alice.cnptia.embrapa.br:doc/1047957Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542017-08-16T03:05:23falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542017-08-16T03:05:23Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false
dc.title.none.fl_str_mv High spatial resolution land use and land cover mapping of the Brazilian Legal Amazon in 2008 using Landsat-5/TM and MODIS data.
title High spatial resolution land use and land cover mapping of the Brazilian Legal Amazon in 2008 using Landsat-5/TM and MODIS data.
spellingShingle High spatial resolution land use and land cover mapping of the Brazilian Legal Amazon in 2008 using Landsat-5/TM and MODIS data.
ALMEIDA, C. A. de
Desflorestamento Tropical
TerraClass
Processamento de Imagens
Sensoriamento Remoto
Remote sensing
Image analysis
Deforestation
title_short High spatial resolution land use and land cover mapping of the Brazilian Legal Amazon in 2008 using Landsat-5/TM and MODIS data.
title_full High spatial resolution land use and land cover mapping of the Brazilian Legal Amazon in 2008 using Landsat-5/TM and MODIS data.
title_fullStr High spatial resolution land use and land cover mapping of the Brazilian Legal Amazon in 2008 using Landsat-5/TM and MODIS data.
title_full_unstemmed High spatial resolution land use and land cover mapping of the Brazilian Legal Amazon in 2008 using Landsat-5/TM and MODIS data.
title_sort High spatial resolution land use and land cover mapping of the Brazilian Legal Amazon in 2008 using Landsat-5/TM and MODIS data.
author ALMEIDA, C. A. de
author_facet ALMEIDA, C. A. de
COUTINHO, A. C.
ESQUERDO, J. C. D. M.
ADAMI, M.
VENTURIERI, A.
DINIZ, C. G.
DESSAY, N.
DURIEUX, L.
GOMES, A. R.
author_role author
author2 COUTINHO, A. C.
ESQUERDO, J. C. D. M.
ADAMI, M.
VENTURIERI, A.
DINIZ, C. G.
DESSAY, N.
DURIEUX, L.
GOMES, A. R.
author2_role author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv CLÁUDIO APARECIDO DE ALMEIDA, INPE; ALEXANDRE CAMARGO COUTINHO, CNPTIA; JÚLIO CÉSAR DALLA MORA ESQUERDO, CNPTIA; MARCOS ADAMI, INPE; ADRIANO VENTURIERI, CPATU; CESAR GUERREIRO DINIZ, INPE; NADINE DESSAY, Institut de Recherche pour le Développement (IRD); Laurent DURIEUX, Institut de Recherche pour le Développement (IRD); ALESSANDRA RODRIGUES GOMES, INPE.
dc.contributor.author.fl_str_mv ALMEIDA, C. A. de
COUTINHO, A. C.
ESQUERDO, J. C. D. M.
ADAMI, M.
VENTURIERI, A.
DINIZ, C. G.
DESSAY, N.
DURIEUX, L.
GOMES, A. R.
dc.subject.por.fl_str_mv Desflorestamento Tropical
TerraClass
Processamento de Imagens
Sensoriamento Remoto
Remote sensing
Image analysis
Deforestation
topic Desflorestamento Tropical
TerraClass
Processamento de Imagens
Sensoriamento Remoto
Remote sensing
Image analysis
Deforestation
description Understanding spatial patterns of land use and land cover is essential for studies addressing biodiversity, climate change and environmental modeling as well as for the design and monitoring of land use policies. The aim of this study was to create a detailed map of land use land cover of the deforested areas of the Brazilian Legal Amazon up to 2008. Deforestation data from and uses were mapped with Landsat-5/TM images analysed with techniques, such as linear spectral mixture model, threshold slicing and visual interpretation, aided by temporal information extracted from NDVI MODIS time series. The result is a high spatial resolution of land use and land cover map of the entire Brazilian Legal Amazon for the year 2008 and corresponding calculation of area occupied by different land use classes. The results showed that the four classes of Pasture covered 62% of the deforested areas of the Brazilian Legal Amazon, followed by Secondary Vegetation with 21%. The area occupied by Annual Agriculture covered less than 5% of deforested areas; the remaining areas were distributed among six other land use classes. The maps generated from this project ? called TerraClass - are available at INPE?s web site (http://www.inpe.br/cra/projetos_pesquisas/terraclass2008.php)
publishDate 2016
dc.date.none.fl_str_mv 2016-06-29T07:53:44Z
2016-06-29T07:53:44Z
2016-06-28
2016
2016-06-29T07:53:44Z
dc.type.driver.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv Acta Amazonica, Manaus, v. 46, n. 3, p. 291-302, July/Sept. 2016.
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1047957
http://dx.doi.org/10.1590/1809-4392201505504
identifier_str_mv Acta Amazonica, Manaus, v. 46, n. 3, p. 291-302, July/Sept. 2016.
url http://www.alice.cnptia.embrapa.br/alice/handle/doc/1047957
http://dx.doi.org/10.1590/1809-4392201505504
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
instname_str Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron_str EMBRAPA
institution EMBRAPA
reponame_str Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
collection Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
repository.name.fl_str_mv Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
repository.mail.fl_str_mv cg-riaa@embrapa.br
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