Mapeamento de superfícies de aplanamento no centro-norte da Amazônia
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Tipo de documento: | Tese |
Idioma: | por |
Título da fonte: | Repositório Institucional da UFG |
dARK ID: | ark:/38995/0013000004bb9 |
Texto Completo: | http://repositorio.bc.ufg.br/tede/handle/tede/10800 |
Resumo: | The recognition of the different planation surfaces of a region provides a picture of the structure of its relief and helps to understand the distribution of its surface formations. Mapping of planation surfaces traditionally carried out by geomorphologists is subject to strong interference from decision makers and there are few proposals for automated mapping. The manual and analogical methods depend fundamentally on the interpretation of the decision maker and often lack mathematical logic, and may be relative, biased and inaccurate. The structure of the reliefs of the Amazon and its natural resources are still little known by researchers and by Brazilian society and the mapping of their planation surfaces can assist in this task. This thesis has as its study area the center-north of the Amazon, covering parts of the territories of Brazil, Venezuela and Guyana. Thus, the main objective is to contribute to the methodologies for mapping the planation surfaces as a resource for understanding the spatial distribution of surface formations (soils, laterites, alluviums, mineral occurrences). As specific objectives, we sought to a) develop an automated methodology for mapping planation surfaces to tectonically stable areas; b) check if there is a correlation between the distribution of the surfaces of the mapped areas and the distribution of their surface formations; c) relate the mapped surfaces to the surfaces recognized by the literature and their ages. The methodology is divided into the following stages: 1. Elaboration of a mathematical algorithm using geoprocessing techniques to get data base from remote sensing, specifically radar, extracted from images of the PALSAR sensor (Phased Array type L-band Synthetic Aperture Radar), on board the ALOS satellite (Advanced Land Observing Satellite).This stage was carried out for a control area, which has two planation surface that are very clear and still little disturbed by river dissection, located in the municipality of Chapada Gaúcha-MG; 2. Application of the proposed methodology to the central-northern region of the Amazon; 3. Obtaining data on surface formations (soils, sediments, laterites) of the two regions and checking, through geoprocessing, digital cartography and graphical representations, the correlations between surface formations and mapped surfaces. In the control area, reliefs associated with three planation surfaces were identified: first surface, associated with the Velhas surface (the most recent and of lowest altitude), between 685 and 800 m; a second surface, associated with the South American surface (intermediate in age and with a better degree of flattening), between 801 to 881 m; and a third surface, between 882 and 898 m, associated with Post-Gondwana (oldest and represented only by dissected forms located altimetrically above the level of South American surface).The mapped surfaces showed good correlation with the types of surface formations (soils), indicating that the structure of natural landscapes has a direct relationship with the distribution of planation surfaces, considering their flat remnants and the reliefs resulting from their dissection The inconsistencies found can be fundamentally attributed to the incompatibility of scales between the surface map and the soil map available for the studied area. For the central-northern region of the Amazon, the proposed model allowed the identification of five planation surfaces in the strip that extends from the highlands of the border between Brazil, Venezuela and Guyana to the axis of the Amazon River, near the city of Manaus: a summit surface, which was associated with to Gondwana surface, between 855 and 2,745 m; a second surface, between 525 to 854 m, associated to Post-Gondwana; a third surface, between 279 and 524 m, associated to South American; a fourth surface, between 114 and 278 m, associated with to Velhas Precoce surface (Early Velhas surface), and a fifth surface, associated with to Velhas Tardio surface (Late Velhas). For each surface, the remaining flat areas and the dissected areas were mapped. The spatial distribution of geomorphological surfaces showed a good correlation with the spatial distribution of mapped surface formations. In the first three surfaces, young soils predominate, whose presence was attributed to the erosion of surface formations and the rock exposure. The two lower altitude surfaces present a greater diversity of soils, due to the increase of flattened areas under more deficient drainage conditions (Spodosols, Plintossols, Gleisols, Planossols), in addition to Latosols and Acrisols, which are dominant. The mapping proposal presented coherent and unprecedented results on the distribution of planation surfaces in the north-central Amazon, making it possible to infer the distribution of surface formations in the region. |
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Bueno, Guilherme Taitsonhttp://lattes.cnpq.br/1585424190030655Bueno, Guilherme TaitsonAlcântara, Enner Herenio deSakamoto, Arnaldo YosoCherem, Luís Felipe SoaresFerreira, Manuel Eduardohttp://lattes.cnpq.br/6966987814678689Mantovani, José Roberto Amaro2020-09-25T10:49:21Z2020-09-25T10:49:21Z2020-04-27MANTOVANI, J. R. A. Mapeamento de superfícies de aplanamento no centro-norte da Amazônia. 2020. 146 f. Tese (Doutorado em Geografia) - Universidade Federal de Goiás, Goiânia, 2020.http://repositorio.bc.ufg.br/tede/handle/tede/10800ark:/38995/0013000004bb9The recognition of the different planation surfaces of a region provides a picture of the structure of its relief and helps to understand the distribution of its surface formations. Mapping of planation surfaces traditionally carried out by geomorphologists is subject to strong interference from decision makers and there are few proposals for automated mapping. The manual and analogical methods depend fundamentally on the interpretation of the decision maker and often lack mathematical logic, and may be relative, biased and inaccurate. The structure of the reliefs of the Amazon and its natural resources are still little known by researchers and by Brazilian society and the mapping of their planation surfaces can assist in this task. This thesis has as its study area the center-north of the Amazon, covering parts of the territories of Brazil, Venezuela and Guyana. Thus, the main objective is to contribute to the methodologies for mapping the planation surfaces as a resource for understanding the spatial distribution of surface formations (soils, laterites, alluviums, mineral occurrences). As specific objectives, we sought to a) develop an automated methodology for mapping planation surfaces to tectonically stable areas; b) check if there is a correlation between the distribution of the surfaces of the mapped areas and the distribution of their surface formations; c) relate the mapped surfaces to the surfaces recognized by the literature and their ages. The methodology is divided into the following stages: 1. Elaboration of a mathematical algorithm using geoprocessing techniques to get data base from remote sensing, specifically radar, extracted from images of the PALSAR sensor (Phased Array type L-band Synthetic Aperture Radar), on board the ALOS satellite (Advanced Land Observing Satellite).This stage was carried out for a control area, which has two planation surface that are very clear and still little disturbed by river dissection, located in the municipality of Chapada Gaúcha-MG; 2. Application of the proposed methodology to the central-northern region of the Amazon; 3. Obtaining data on surface formations (soils, sediments, laterites) of the two regions and checking, through geoprocessing, digital cartography and graphical representations, the correlations between surface formations and mapped surfaces. In the control area, reliefs associated with three planation surfaces were identified: first surface, associated with the Velhas surface (the most recent and of lowest altitude), between 685 and 800 m; a second surface, associated with the South American surface (intermediate in age and with a better degree of flattening), between 801 to 881 m; and a third surface, between 882 and 898 m, associated with Post-Gondwana (oldest and represented only by dissected forms located altimetrically above the level of South American surface).The mapped surfaces showed good correlation with the types of surface formations (soils), indicating that the structure of natural landscapes has a direct relationship with the distribution of planation surfaces, considering their flat remnants and the reliefs resulting from their dissection The inconsistencies found can be fundamentally attributed to the incompatibility of scales between the surface map and the soil map available for the studied area. For the central-northern region of the Amazon, the proposed model allowed the identification of five planation surfaces in the strip that extends from the highlands of the border between Brazil, Venezuela and Guyana to the axis of the Amazon River, near the city of Manaus: a summit surface, which was associated with to Gondwana surface, between 855 and 2,745 m; a second surface, between 525 to 854 m, associated to Post-Gondwana; a third surface, between 279 and 524 m, associated to South American; a fourth surface, between 114 and 278 m, associated with to Velhas Precoce surface (Early Velhas surface), and a fifth surface, associated with to Velhas Tardio surface (Late Velhas). For each surface, the remaining flat areas and the dissected areas were mapped. The spatial distribution of geomorphological surfaces showed a good correlation with the spatial distribution of mapped surface formations. In the first three surfaces, young soils predominate, whose presence was attributed to the erosion of surface formations and the rock exposure. The two lower altitude surfaces present a greater diversity of soils, due to the increase of flattened areas under more deficient drainage conditions (Spodosols, Plintossols, Gleisols, Planossols), in addition to Latosols and Acrisols, which are dominant. The mapping proposal presented coherent and unprecedented results on the distribution of planation surfaces in the north-central Amazon, making it possible to infer the distribution of surface formations in the region.O reconhecimento das diferentes superfícies de aplanamento de uma região fornece um quadro sobre a estrutura do seu relevo e auxilia no conhecimento da distribuição de suas formações superficiais. O mapeamento de superfícies de aplanamento tradicionalmente realizado pelos geomorfólogos está sujeito à forte interferência do tomador de decisões e poucas são as propostas de mapeamento automatizado, ao contrário de métodos manuais ou analógicos. Esses últimos dependem fundamentalmente da interpretação do tomador de decisão e muitas vezes carecem de lógica matemática, podendo ser relativos, tendenciosos e sem precisão. A estrutura dos relevos da Amazônia e seus recursos naturais continuam pouco conhecidos pelos pesquisadores e pela sociedade brasileira e o mapeamento de suas superfícies de aplanamento pode auxiliar nessa tarefa. Essa tese tem como área de estudos o centro-norte da Amazônia, abrangendo partes dos territórios do Brasil, Venezuela e a Guiana. Tem-se assim, como objetivo maior, contribuir para as metodologias de mapeamento de superfícies de aplanamento como recurso para o conhecimento da distribuição espacial das formações superficiais (solos, lateritos, aluviões, ocorrências minerais). Como objetivos específicos, buscou-se a) desenvolver uma metodologia automatizada para o mapeamento de superfícies de aplanamento para áreas tectonicamente estáveis; b) verificar se há correlação entre a distribuição das superfícies das áreas mapeadas e a distribuição de suas formações superficiais; c) relacionar as superfícies mapeadas com as superfícies reconhecidas pela literatura e suas idades. A metodologia se divide nas seguintes etapas: 1. Elaboração de um algoritmo matemático, somado às técnicas de geoprocessamento, a partir de dados provenientes de sensoriamento remoto, especificamente de radar, extraídos a partir de imagens do sensor PALSAR (Phased Array type L-band Synthetic Aperture Radar), a bordo do satélite ALOS (Advanced Land Observing Satellite. Esta etapa foi realizada em uma área de controle, que apresenta duas superfícies de aplanamento bastante nítidas e ainda pouco reafeiçoadas pela dissecação fluvial, situada no município de Chapada Gaúcha-MG; 2. Aplicação da metodologia proposta à região centro-norte da Amazônia; 3. Obtenção de dados sobre formações superficiais das duas regiões e verificação, por meio do geoprocessamento, cartografia digital e representações gráficas, das correlações entre as formações superficiais e as superfícies mapeadas. Na área de controle foram identificados relevos associados a três superfícies de aplanamento: uma superfície, associada à superfície Velhas (a mais recente e de menor altitude), entre 685 e 800 m; uma segunda superfície, associada a superfície Sul-Americana (intermediária em idade e com melhor grau de aplanamento), entre 801 a 881 m; e uma terceira superfície, entre 882 e 898 m, associada à Pós-Gondwana (mais antiga e representada apenas por formas dissecadas situadas altimetricamente acima do nível de aplanamento Sul-Americano). As superfícies mapeadas apresentaram boa correlação com os tipos de solos, indicando relação direta com a distribuição das superfícies de aplanamento, considerando seus remanescentes aplanados e os relevos resultantes de sua dissecação. Para região centro-norte da Amazônia, o modelo proposto permitiu identificar cinco superfícies de aplanamento na faixa que se estende das terras altas da divisa entre Brasil, Venezuela e Guiana até o eixo do Rio Amazonas: uma superfície cimeira, que foi associada à superfície Gondwana, entre 855 e 2.745 m; uma segunda superfície, entre 525 e 854 m, associada à Pós-Gondwana; uma terceira superfície, entre 279 e 524 m, denominada Sul-Americana; uma quarta superfície, entre 114 e 278 m, associada à superfície Velhas Precoce (Early Velhas), e uma quinta superfície, associada à superfície Velhas Tardio (Late Velhas). Para cada superfície foram mapeadas as áreas aplanadas remanescentes e as áreas dissecadas. A distribuição espacial das superfícies de aplanamento apresentou boa correlação com a distribuição espacial das formações superficiais mapeadas. Nas três primeiras superfícies predominam os solos jovens, cuja presença foi atribuída à erosão das formações superficiais e exposição da rocha. As duas superfícies inferiores apresentam maior diversidade de solos, em função do aumento das áreas aplanadas sob condições de drenagem deficiente (Espodossolos, Plintossolos, Gleissolos, Planossolos), além dos Latossolos e Argissolos, que são dominantes. A proposta de mapeamento apresentou resultados coerentes e inéditos sobre a distribuição das superfícies de aplanamento no centro-norte da Amazônia possibilitando inferir a distribuição das formações superficiais na região.Submitted by Onia Arantes Albuquerque (onia.ufg@gmail.com) on 2020-09-24T20:40:46Z No. of bitstreams: 2 license_rdf: 811 bytes, checksum: e39d27027a6cc9cb039ad269a5db8e34 (MD5) Tese - José Roberto Amaro Mantovani - 2020.pdf: 7729858 bytes, checksum: 7ebc197340f554036dc2853f95eccbfb (MD5)Approved for entry into archive by Luciana Ferreira (lucgeral@gmail.com) on 2020-09-25T10:49:21Z (GMT) No. of bitstreams: 2 license_rdf: 811 bytes, checksum: e39d27027a6cc9cb039ad269a5db8e34 (MD5) Tese - José Roberto Amaro Mantovani - 2020.pdf: 7729858 bytes, checksum: 7ebc197340f554036dc2853f95eccbfb (MD5)Made available in DSpace on 2020-09-25T10:49:21Z (GMT). No. of bitstreams: 2 license_rdf: 811 bytes, checksum: e39d27027a6cc9cb039ad269a5db8e34 (MD5) Tese - José Roberto Amaro Mantovani - 2020.pdf: 7729858 bytes, checksum: 7ebc197340f554036dc2853f95eccbfb (MD5) Previous issue date: 2020-04-27Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPESporUniversidade Federal de GoiásPrograma de Pós-graduação em Geografia (IESA)UFGBrasilInstituto de Estudos Socioambientais - IESA (RG)Attribution-NonCommercial-NoDerivs 3.0 Brazilhttp://creativecommons.org/licenses/by-nc-nd/3.0/br/info:eu-repo/semantics/openAccessMapeamento de superfícies de aplanamentoFormações superficiaisGeoprocessamentoSensoriamento remotoAmazôniaPlanation surfaces mappingSurface formationsGeoprocessingRemote sensingAmazonCIENCIAS HUMANAS::GEOGRAFIAMapeamento de superfícies de aplanamento no centro-norte da AmazôniaPlanation surfaces mapping in the north-central Amazoninfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesis57500500500500241971reponame:Repositório Institucional da UFGinstname:Universidade Federal de Goiás (UFG)instacron:UFGLICENSElicense.txtlicense.txttext/plain; charset=utf-81748http://repositorio.bc.ufg.br/tede/bitstreams/7548c707-ebba-4706-ab64-276a667dd85a/download8a4605be74aa9ea9d79846c1fba20a33MD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8811http://repositorio.bc.ufg.br/tede/bitstreams/1f941ee3-05a7-44ab-ae6f-733ad882a125/downloade39d27027a6cc9cb039ad269a5db8e34MD52ORIGINALTese - José Roberto Amaro Mantovani - 2020.pdfTese - José Roberto Amaro Mantovani - 2020.pdfapplication/pdf7729858http://repositorio.bc.ufg.br/tede/bitstreams/b7ab3157-39d9-4173-862f-d1ddfadc7564/download7ebc197340f554036dc2853f95eccbfbMD53tede/108002020-09-25 07:49:21.636http://creativecommons.org/licenses/by-nc-nd/3.0/br/Attribution-NonCommercial-NoDerivs 3.0 Brazilopen.accessoai:repositorio.bc.ufg.br:tede/10800http://repositorio.bc.ufg.br/tedeRepositório InstitucionalPUBhttp://repositorio.bc.ufg.br/oai/requesttasesdissertacoes.bc@ufg.bropendoar:2020-09-25T10:49:21Repositório Institucional da UFG - Universidade Federal de Goiás (UFG)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 |
dc.title.pt_BR.fl_str_mv |
Mapeamento de superfícies de aplanamento no centro-norte da Amazônia |
dc.title.alternative.eng.fl_str_mv |
Planation surfaces mapping in the north-central Amazon |
title |
Mapeamento de superfícies de aplanamento no centro-norte da Amazônia |
spellingShingle |
Mapeamento de superfícies de aplanamento no centro-norte da Amazônia Mantovani, José Roberto Amaro Mapeamento de superfícies de aplanamento Formações superficiais Geoprocessamento Sensoriamento remoto Amazônia Planation surfaces mapping Surface formations Geoprocessing Remote sensing Amazon CIENCIAS HUMANAS::GEOGRAFIA |
title_short |
Mapeamento de superfícies de aplanamento no centro-norte da Amazônia |
title_full |
Mapeamento de superfícies de aplanamento no centro-norte da Amazônia |
title_fullStr |
Mapeamento de superfícies de aplanamento no centro-norte da Amazônia |
title_full_unstemmed |
Mapeamento de superfícies de aplanamento no centro-norte da Amazônia |
title_sort |
Mapeamento de superfícies de aplanamento no centro-norte da Amazônia |
author |
Mantovani, José Roberto Amaro |
author_facet |
Mantovani, José Roberto Amaro |
author_role |
author |
dc.contributor.advisor1.fl_str_mv |
Bueno, Guilherme Taitson |
dc.contributor.advisor1Lattes.fl_str_mv |
http://lattes.cnpq.br/1585424190030655 |
dc.contributor.referee1.fl_str_mv |
Bueno, Guilherme Taitson |
dc.contributor.referee2.fl_str_mv |
Alcântara, Enner Herenio de |
dc.contributor.referee3.fl_str_mv |
Sakamoto, Arnaldo Yoso |
dc.contributor.referee4.fl_str_mv |
Cherem, Luís Felipe Soares |
dc.contributor.referee5.fl_str_mv |
Ferreira, Manuel Eduardo |
dc.contributor.authorLattes.fl_str_mv |
http://lattes.cnpq.br/6966987814678689 |
dc.contributor.author.fl_str_mv |
Mantovani, José Roberto Amaro |
contributor_str_mv |
Bueno, Guilherme Taitson Bueno, Guilherme Taitson Alcântara, Enner Herenio de Sakamoto, Arnaldo Yoso Cherem, Luís Felipe Soares Ferreira, Manuel Eduardo |
dc.subject.por.fl_str_mv |
Mapeamento de superfícies de aplanamento Formações superficiais Geoprocessamento Sensoriamento remoto Amazônia |
topic |
Mapeamento de superfícies de aplanamento Formações superficiais Geoprocessamento Sensoriamento remoto Amazônia Planation surfaces mapping Surface formations Geoprocessing Remote sensing Amazon CIENCIAS HUMANAS::GEOGRAFIA |
dc.subject.eng.fl_str_mv |
Planation surfaces mapping Surface formations Geoprocessing Remote sensing Amazon |
dc.subject.cnpq.fl_str_mv |
CIENCIAS HUMANAS::GEOGRAFIA |
description |
The recognition of the different planation surfaces of a region provides a picture of the structure of its relief and helps to understand the distribution of its surface formations. Mapping of planation surfaces traditionally carried out by geomorphologists is subject to strong interference from decision makers and there are few proposals for automated mapping. The manual and analogical methods depend fundamentally on the interpretation of the decision maker and often lack mathematical logic, and may be relative, biased and inaccurate. The structure of the reliefs of the Amazon and its natural resources are still little known by researchers and by Brazilian society and the mapping of their planation surfaces can assist in this task. This thesis has as its study area the center-north of the Amazon, covering parts of the territories of Brazil, Venezuela and Guyana. Thus, the main objective is to contribute to the methodologies for mapping the planation surfaces as a resource for understanding the spatial distribution of surface formations (soils, laterites, alluviums, mineral occurrences). As specific objectives, we sought to a) develop an automated methodology for mapping planation surfaces to tectonically stable areas; b) check if there is a correlation between the distribution of the surfaces of the mapped areas and the distribution of their surface formations; c) relate the mapped surfaces to the surfaces recognized by the literature and their ages. The methodology is divided into the following stages: 1. Elaboration of a mathematical algorithm using geoprocessing techniques to get data base from remote sensing, specifically radar, extracted from images of the PALSAR sensor (Phased Array type L-band Synthetic Aperture Radar), on board the ALOS satellite (Advanced Land Observing Satellite).This stage was carried out for a control area, which has two planation surface that are very clear and still little disturbed by river dissection, located in the municipality of Chapada Gaúcha-MG; 2. Application of the proposed methodology to the central-northern region of the Amazon; 3. Obtaining data on surface formations (soils, sediments, laterites) of the two regions and checking, through geoprocessing, digital cartography and graphical representations, the correlations between surface formations and mapped surfaces. In the control area, reliefs associated with three planation surfaces were identified: first surface, associated with the Velhas surface (the most recent and of lowest altitude), between 685 and 800 m; a second surface, associated with the South American surface (intermediate in age and with a better degree of flattening), between 801 to 881 m; and a third surface, between 882 and 898 m, associated with Post-Gondwana (oldest and represented only by dissected forms located altimetrically above the level of South American surface).The mapped surfaces showed good correlation with the types of surface formations (soils), indicating that the structure of natural landscapes has a direct relationship with the distribution of planation surfaces, considering their flat remnants and the reliefs resulting from their dissection The inconsistencies found can be fundamentally attributed to the incompatibility of scales between the surface map and the soil map available for the studied area. For the central-northern region of the Amazon, the proposed model allowed the identification of five planation surfaces in the strip that extends from the highlands of the border between Brazil, Venezuela and Guyana to the axis of the Amazon River, near the city of Manaus: a summit surface, which was associated with to Gondwana surface, between 855 and 2,745 m; a second surface, between 525 to 854 m, associated to Post-Gondwana; a third surface, between 279 and 524 m, associated to South American; a fourth surface, between 114 and 278 m, associated with to Velhas Precoce surface (Early Velhas surface), and a fifth surface, associated with to Velhas Tardio surface (Late Velhas). For each surface, the remaining flat areas and the dissected areas were mapped. The spatial distribution of geomorphological surfaces showed a good correlation with the spatial distribution of mapped surface formations. In the first three surfaces, young soils predominate, whose presence was attributed to the erosion of surface formations and the rock exposure. The two lower altitude surfaces present a greater diversity of soils, due to the increase of flattened areas under more deficient drainage conditions (Spodosols, Plintossols, Gleisols, Planossols), in addition to Latosols and Acrisols, which are dominant. The mapping proposal presented coherent and unprecedented results on the distribution of planation surfaces in the north-central Amazon, making it possible to infer the distribution of surface formations in the region. |
publishDate |
2020 |
dc.date.accessioned.fl_str_mv |
2020-09-25T10:49:21Z |
dc.date.available.fl_str_mv |
2020-09-25T10:49:21Z |
dc.date.issued.fl_str_mv |
2020-04-27 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/doctoralThesis |
format |
doctoralThesis |
status_str |
publishedVersion |
dc.identifier.citation.fl_str_mv |
MANTOVANI, J. R. A. Mapeamento de superfícies de aplanamento no centro-norte da Amazônia. 2020. 146 f. Tese (Doutorado em Geografia) - Universidade Federal de Goiás, Goiânia, 2020. |
dc.identifier.uri.fl_str_mv |
http://repositorio.bc.ufg.br/tede/handle/tede/10800 |
dc.identifier.dark.fl_str_mv |
ark:/38995/0013000004bb9 |
identifier_str_mv |
MANTOVANI, J. R. A. Mapeamento de superfícies de aplanamento no centro-norte da Amazônia. 2020. 146 f. Tese (Doutorado em Geografia) - Universidade Federal de Goiás, Goiânia, 2020. ark:/38995/0013000004bb9 |
url |
http://repositorio.bc.ufg.br/tede/handle/tede/10800 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.program.fl_str_mv |
57 |
dc.relation.confidence.fl_str_mv |
500 500 500 500 |
dc.relation.department.fl_str_mv |
24 |
dc.relation.cnpq.fl_str_mv |
197 |
dc.relation.sponsorship.fl_str_mv |
1 |
dc.rights.driver.fl_str_mv |
Attribution-NonCommercial-NoDerivs 3.0 Brazil http://creativecommons.org/licenses/by-nc-nd/3.0/br/ info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Attribution-NonCommercial-NoDerivs 3.0 Brazil http://creativecommons.org/licenses/by-nc-nd/3.0/br/ |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
Universidade Federal de Goiás |
dc.publisher.program.fl_str_mv |
Programa de Pós-graduação em Geografia (IESA) |
dc.publisher.initials.fl_str_mv |
UFG |
dc.publisher.country.fl_str_mv |
Brasil |
dc.publisher.department.fl_str_mv |
Instituto de Estudos Socioambientais - IESA (RG) |
publisher.none.fl_str_mv |
Universidade Federal de Goiás |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da UFG instname:Universidade Federal de Goiás (UFG) instacron:UFG |
instname_str |
Universidade Federal de Goiás (UFG) |
instacron_str |
UFG |
institution |
UFG |
reponame_str |
Repositório Institucional da UFG |
collection |
Repositório Institucional da UFG |
bitstream.url.fl_str_mv |
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MD5 MD5 MD5 |
repository.name.fl_str_mv |
Repositório Institucional da UFG - Universidade Federal de Goiás (UFG) |
repository.mail.fl_str_mv |
tasesdissertacoes.bc@ufg.br |
_version_ |
1815172555598725120 |