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Análise multitemporal do uso da terra e cobertura florestal com dados dos satélites LANDSAT e ALOS

Detalhes bibliográficos
Ano de defesa: 2011
Autor(a) principal: Torres, Daniela Ricalde
Orientador(a): Não Informado pela instituição
Banca de defesa: Não Informado pela instituição
Tipo de documento: Dissertação
Tipo de acesso: Acesso aberto
dARK ID: ark:/26339/001300000kj1g
Idioma: por
Instituição de defesa: Universidade Federal de Santa Maria
BR
Recursos Florestais e Engenharia Florestal
UFSM
Programa de Pós-Graduação em Engenharia Florestal
Programa de Pós-Graduação: Não Informado pela instituição
Departamento: Não Informado pela instituição
País: Não Informado pela instituição
Palavras-chave em Português:
Link de acesso: http://repositorio.ufsm.br/handle/1/8688
Resumo: The monitoring of the use and coverage is very important when studying determined regions, just because it helps knowing the environmental reality and contributes to solve problems that can probably appear. This research was done from the images of ALOS and LANDSAT satellites. Its main objective was to have a multi-temporal analysis of Arroio Grande micro watershed, central region of Rio Grande do Sul. The specific purposes were to identify and to quantify the different classes of land use found in this micro watershed along the 1987, 1998, 2002, 2005, 2007 and 2009 periods, as well as cross the land use information to show the forest coverage changes during the 22 years of analysis. The software SPRING 5.1.7 was employed to classify the supervised images through Bhattacharya, a sorter algorithm, and the map spatial analysis was done through the Spatial Language of Algebraic Geoprocessing program with the same computational application. The classes of land use as forest, field, agriculture, irrigated agriculture, exposed soil and water layer were observed in the images of each year in this analysis. These classes were utilized in the spatial analysis of the forest coverage in which forest monitoring parameters have been defined (forest maintenance and regeneration, deforestation). In this research the principal results that have been noticed were the increase of 17,98% on the distributed forest coverage, mainly in the areas of bigger declination, and the reduction of 16,32% on the field area. The analysis of the spatial forest coverage has presented stability with the landscape, in a gradual progression, because the area of forest maintenance, found in these 22 years, was 12.252,60ha, the forest regeneration was 4.389,12ha and only 1.853,82ha of deforested area.
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spelling Análise multitemporal do uso da terra e cobertura florestal com dados dos satélites LANDSAT e ALOSMultitemporal analysis of land use and forest coverage with data from LANDSAT and ALOS satellitesClassificação supervisionadaUso da terraAnálise espacialSensoriamento remotoAnálise multitemporalMicrobaciaSupervised classificationLand useSpatial analysisRemote sensingMulti-temporal analysisMicro watershedCNPQ::CIENCIAS AGRARIAS::RECURSOS FLORESTAIS E ENGENHARIA FLORESTALThe monitoring of the use and coverage is very important when studying determined regions, just because it helps knowing the environmental reality and contributes to solve problems that can probably appear. This research was done from the images of ALOS and LANDSAT satellites. Its main objective was to have a multi-temporal analysis of Arroio Grande micro watershed, central region of Rio Grande do Sul. The specific purposes were to identify and to quantify the different classes of land use found in this micro watershed along the 1987, 1998, 2002, 2005, 2007 and 2009 periods, as well as cross the land use information to show the forest coverage changes during the 22 years of analysis. The software SPRING 5.1.7 was employed to classify the supervised images through Bhattacharya, a sorter algorithm, and the map spatial analysis was done through the Spatial Language of Algebraic Geoprocessing program with the same computational application. The classes of land use as forest, field, agriculture, irrigated agriculture, exposed soil and water layer were observed in the images of each year in this analysis. These classes were utilized in the spatial analysis of the forest coverage in which forest monitoring parameters have been defined (forest maintenance and regeneration, deforestation). In this research the principal results that have been noticed were the increase of 17,98% on the distributed forest coverage, mainly in the areas of bigger declination, and the reduction of 16,32% on the field area. The analysis of the spatial forest coverage has presented stability with the landscape, in a gradual progression, because the area of forest maintenance, found in these 22 years, was 12.252,60ha, the forest regeneration was 4.389,12ha and only 1.853,82ha of deforested area.Conselho Nacional de Desenvolvimento Científico e TecnológicoO monitoramento do uso e cobertura da terra faz-se importante no estudo de determinadas regiões, pois auxilia no conhecimento da realidade ambiental e contribui na busca por soluções de problemas que possam se apresentar. A partir do uso de imagens dos satélites, ALOS e LANDSAT, foi realizada esta pesquisa com o objetivo principal de fazer uma análise multitemporal na microbacia do Arroio Grande, região central do Rio Grande do Sul, cujos objetivos específicos foram: Identificar e quantificar as diferentes classes de uso da terra encontradas na microbacia nos períodos de 1987, 1998, 2002, 2005, 2007 e 2009; além de cruzar as informações de uso da terra, evidenciando a cobertura florestal que sofreu alterações no decorrer dos 22 anos de análise. Para tanto, foram utilizados o software SPRING 5.1.7 para a classificação supervisionada das imagens, com a adoção do algoritmo classificador Bhattacharya, e a análise espacial dos mapas com a programação LEGAL do mesmo aplicativo computacional. Para esta análise, foram observadas as classes de uso do solo: floresta, campo, agricultura, agricultura irrigada, solo exposto e lâmina d água, nas imagens de cada ano. Estas classes foram empregadas na análise espacial da cobertura florestal em que foram definidos parâmetros para o monitoramento florestal (manutenção florestal, regeneração florestal e desmatamentos). Os principais resultados notados, nesta pesquisa, foram o aumento de 17,98% na cobertura florestal distribuída, principalmente, nas áreas de maiores declividade, e a redução de 16,32% sobre a área de campo. Quanto à análise espacial da cobertura florestal, esta mostrou-se em estabilidade com a paisagem, e em gradual progressão, pois a área de manutenção florestal encontrada, nestes 22 anos, foi de 12.252,60 ha, a regeneração florestal foi de 4.389,12 ha e apenas 1.853,82 ha de área desmatada.Universidade Federal de Santa MariaBRRecursos Florestais e Engenharia FlorestalUFSMPrograma de Pós-Graduação em Engenharia FlorestalPereira, Rudiney Soareshttp://lattes.cnpq.br/9479801378014588Lingnau, Christelhttp://lattes.cnpq.br/0584915731374399Longhi, Solon Jonashttp://lattes.cnpq.br/2401814326298046Torres, Daniela Ricalde2012-03-062012-03-062011-07-29info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfapplication/pdfTORRES, Daniela Ricalde. Multitemporal analysis of land use and forest coverage with data from LANDSAT and ALOS satellites. 2011. 97 f. Dissertação (Mestrado em Recursos Florestais e Engenharia Florestal) - Universidade Federal de Santa Maria, Santa Maria, 2011.http://repositorio.ufsm.br/handle/1/8688ark:/26339/001300000kj1gporinfo:eu-repo/semantics/openAccessreponame:Manancial - Repositório Digital da UFSMinstname:Universidade Federal de Santa Maria (UFSM)instacron:UFSM2023-06-28T14:37:03Zoai:repositorio.ufsm.br:1/8688Biblioteca Digital de Teses e Dissertaçõeshttps://repositorio.ufsm.br/PUBhttps://repositorio.ufsm.br/oai/requestatendimento.sib@ufsm.br||tedebc@gmail.com||manancial@ufsm.bropendoar:2023-06-28T14:37:03Manancial - Repositório Digital da UFSM - Universidade Federal de Santa Maria (UFSM)false
dc.title.none.fl_str_mv Análise multitemporal do uso da terra e cobertura florestal com dados dos satélites LANDSAT e ALOS
Multitemporal analysis of land use and forest coverage with data from LANDSAT and ALOS satellites
title Análise multitemporal do uso da terra e cobertura florestal com dados dos satélites LANDSAT e ALOS
spellingShingle Análise multitemporal do uso da terra e cobertura florestal com dados dos satélites LANDSAT e ALOS
Torres, Daniela Ricalde
Classificação supervisionada
Uso da terra
Análise espacial
Sensoriamento remoto
Análise multitemporal
Microbacia
Supervised classification
Land use
Spatial analysis
Remote sensing
Multi-temporal analysis
Micro watershed
CNPQ::CIENCIAS AGRARIAS::RECURSOS FLORESTAIS E ENGENHARIA FLORESTAL
title_short Análise multitemporal do uso da terra e cobertura florestal com dados dos satélites LANDSAT e ALOS
title_full Análise multitemporal do uso da terra e cobertura florestal com dados dos satélites LANDSAT e ALOS
title_fullStr Análise multitemporal do uso da terra e cobertura florestal com dados dos satélites LANDSAT e ALOS
title_full_unstemmed Análise multitemporal do uso da terra e cobertura florestal com dados dos satélites LANDSAT e ALOS
title_sort Análise multitemporal do uso da terra e cobertura florestal com dados dos satélites LANDSAT e ALOS
author Torres, Daniela Ricalde
author_facet Torres, Daniela Ricalde
author_role author
dc.contributor.none.fl_str_mv Pereira, Rudiney Soares
http://lattes.cnpq.br/9479801378014588
Lingnau, Christel
http://lattes.cnpq.br/0584915731374399
Longhi, Solon Jonas
http://lattes.cnpq.br/2401814326298046
dc.contributor.author.fl_str_mv Torres, Daniela Ricalde
dc.subject.por.fl_str_mv Classificação supervisionada
Uso da terra
Análise espacial
Sensoriamento remoto
Análise multitemporal
Microbacia
Supervised classification
Land use
Spatial analysis
Remote sensing
Multi-temporal analysis
Micro watershed
CNPQ::CIENCIAS AGRARIAS::RECURSOS FLORESTAIS E ENGENHARIA FLORESTAL
topic Classificação supervisionada
Uso da terra
Análise espacial
Sensoriamento remoto
Análise multitemporal
Microbacia
Supervised classification
Land use
Spatial analysis
Remote sensing
Multi-temporal analysis
Micro watershed
CNPQ::CIENCIAS AGRARIAS::RECURSOS FLORESTAIS E ENGENHARIA FLORESTAL
description The monitoring of the use and coverage is very important when studying determined regions, just because it helps knowing the environmental reality and contributes to solve problems that can probably appear. This research was done from the images of ALOS and LANDSAT satellites. Its main objective was to have a multi-temporal analysis of Arroio Grande micro watershed, central region of Rio Grande do Sul. The specific purposes were to identify and to quantify the different classes of land use found in this micro watershed along the 1987, 1998, 2002, 2005, 2007 and 2009 periods, as well as cross the land use information to show the forest coverage changes during the 22 years of analysis. The software SPRING 5.1.7 was employed to classify the supervised images through Bhattacharya, a sorter algorithm, and the map spatial analysis was done through the Spatial Language of Algebraic Geoprocessing program with the same computational application. The classes of land use as forest, field, agriculture, irrigated agriculture, exposed soil and water layer were observed in the images of each year in this analysis. These classes were utilized in the spatial analysis of the forest coverage in which forest monitoring parameters have been defined (forest maintenance and regeneration, deforestation). In this research the principal results that have been noticed were the increase of 17,98% on the distributed forest coverage, mainly in the areas of bigger declination, and the reduction of 16,32% on the field area. The analysis of the spatial forest coverage has presented stability with the landscape, in a gradual progression, because the area of forest maintenance, found in these 22 years, was 12.252,60ha, the forest regeneration was 4.389,12ha and only 1.853,82ha of deforested area.
publishDate 2011
dc.date.none.fl_str_mv 2011-07-29
2012-03-06
2012-03-06
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv TORRES, Daniela Ricalde. Multitemporal analysis of land use and forest coverage with data from LANDSAT and ALOS satellites. 2011. 97 f. Dissertação (Mestrado em Recursos Florestais e Engenharia Florestal) - Universidade Federal de Santa Maria, Santa Maria, 2011.
http://repositorio.ufsm.br/handle/1/8688
dc.identifier.dark.fl_str_mv ark:/26339/001300000kj1g
identifier_str_mv TORRES, Daniela Ricalde. Multitemporal analysis of land use and forest coverage with data from LANDSAT and ALOS satellites. 2011. 97 f. Dissertação (Mestrado em Recursos Florestais e Engenharia Florestal) - Universidade Federal de Santa Maria, Santa Maria, 2011.
ark:/26339/001300000kj1g
url http://repositorio.ufsm.br/handle/1/8688
dc.language.iso.fl_str_mv por
language por
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Universidade Federal de Santa Maria
BR
Recursos Florestais e Engenharia Florestal
UFSM
Programa de Pós-Graduação em Engenharia Florestal
publisher.none.fl_str_mv Universidade Federal de Santa Maria
BR
Recursos Florestais e Engenharia Florestal
UFSM
Programa de Pós-Graduação em Engenharia Florestal
dc.source.none.fl_str_mv reponame:Manancial - Repositório Digital da UFSM
instname:Universidade Federal de Santa Maria (UFSM)
instacron:UFSM
instname_str Universidade Federal de Santa Maria (UFSM)
instacron_str UFSM
institution UFSM
reponame_str Manancial - Repositório Digital da UFSM
collection Manancial - Repositório Digital da UFSM
repository.name.fl_str_mv Manancial - Repositório Digital da UFSM - Universidade Federal de Santa Maria (UFSM)
repository.mail.fl_str_mv atendimento.sib@ufsm.br||tedebc@gmail.com||manancial@ufsm.br
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