Análise multitemporal do uso da terra e cobertura florestal com dados dos satélites LANDSAT e ALOS
Autor(a) principal: | |
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Data de Publicação: | 2011 |
Tipo de documento: | Dissertação |
Idioma: | por |
Título da fonte: | Manancial - Repositório Digital da UFSM |
Texto Completo: | 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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2012-03-062012-03-062011-07-29TORRES, 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/1/8688The 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.O 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.Conselho Nacional de Desenvolvimento Científico e Tecnológicoapplication/pdfporUniversidade Federal de Santa MariaPrograma de Pós-Graduação em Engenharia FlorestalUFSMBRRecursos Florestais e Engenharia FlorestalClassificação supervisionadaUso da terraAnálise espacialSensoriamento remotoAnálise multitemporalMicrobaciaSupervised classificationLand useSpatial analysisRemote sensingMulti-temporal analysisMicro watershedCNPQ::CIENCIAS AGRARIAS::RECURSOS FLORESTAIS E ENGENHARIA FLORESTALAnálise 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 satellitesinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisPereira, Rudiney Soareshttp://lattes.cnpq.br/9479801378014588Lingnau, Christelhttp://lattes.cnpq.br/0584915731374399Longhi, Solon Jonashttp://lattes.cnpq.br/2401814326298046http://lattes.cnpq.br/8880742771579487Torres, Daniela Ricalde500200000003400500300300500a7274a7d-8dcd-466b-9a0d-c2b629e2ca88d7bd8b31-bb34-4723-a66e-fbcd53cf755e10dc40c5-356f-47d3-910a-4b04263ac4618b9a1023-bfa4-4139-a17a-664653c029e0info:eu-repo/semantics/openAccessreponame:Manancial - Repositório Digital da UFSMinstname:Universidade Federal de Santa Maria (UFSM)instacron:UFSMORIGINALTORRES, DANIELA RICALDE.pdfapplication/pdf4952612http://repositorio.ufsm.br/bitstream/1/8688/1/TORRES%2c%20DANIELA%20RICALDE.pdfe7e61c9a3ba8d9df8900693b2d5ef415MD51TEXTTORRES, DANIELA RICALDE.pdf.txtTORRES, DANIELA RICALDE.pdf.txtExtracted texttext/plain140254http://repositorio.ufsm.br/bitstream/1/8688/2/TORRES%2c%20DANIELA%20RICALDE.pdf.txt2115efe0b0b5af4dab9338cb9aaf0599MD52THUMBNAILTORRES, DANIELA RICALDE.pdf.jpgTORRES, DANIELA RICALDE.pdf.jpgIM Thumbnailimage/jpeg5126http://repositorio.ufsm.br/bitstream/1/8688/3/TORRES%2c%20DANIELA%20RICALDE.pdf.jpg4d0b55b5446bafb1d3dce6dbf6e7cfc7MD531/86882023-06-28 11:37:03.645oai:repositorio.ufsm.br:1/8688Repositório Institucionalhttp://repositorio.ufsm.br/PUBhttp://repositorio.ufsm.br/oai/requestopendoar:39132023-06-28T14:37:03Manancial - Repositório Digital da UFSM - Universidade Federal de Santa Maria (UFSM)false |
dc.title.por.fl_str_mv |
Análise multitemporal do uso da terra e cobertura florestal com dados dos satélites LANDSAT e ALOS |
dc.title.alternative.eng.fl_str_mv |
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.advisor1.fl_str_mv |
Pereira, Rudiney Soares |
dc.contributor.advisor1Lattes.fl_str_mv |
http://lattes.cnpq.br/9479801378014588 |
dc.contributor.referee1.fl_str_mv |
Lingnau, Christel |
dc.contributor.referee1Lattes.fl_str_mv |
http://lattes.cnpq.br/0584915731374399 |
dc.contributor.referee2.fl_str_mv |
Longhi, Solon Jonas |
dc.contributor.referee2Lattes.fl_str_mv |
http://lattes.cnpq.br/2401814326298046 |
dc.contributor.authorLattes.fl_str_mv |
http://lattes.cnpq.br/8880742771579487 |
dc.contributor.author.fl_str_mv |
Torres, Daniela Ricalde |
contributor_str_mv |
Pereira, Rudiney Soares Lingnau, Christel Longhi, Solon Jonas |
dc.subject.por.fl_str_mv |
Classificação supervisionada Uso da terra Análise espacial Sensoriamento remoto Análise multitemporal Microbacia |
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 |
dc.subject.eng.fl_str_mv |
Supervised classification Land use Spatial analysis Remote sensing Multi-temporal analysis Micro watershed |
dc.subject.cnpq.fl_str_mv |
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.issued.fl_str_mv |
2011-07-29 |
dc.date.accessioned.fl_str_mv |
2012-03-06 |
dc.date.available.fl_str_mv |
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.citation.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. |
dc.identifier.uri.fl_str_mv |
http://repositorio.ufsm.br/handle/1/8688 |
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. |
url |
http://repositorio.ufsm.br/handle/1/8688 |
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por |
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por |
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openAccess |
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Universidade Federal de Santa Maria |
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Programa de Pós-Graduação em Engenharia Florestal |
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UFSM |
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BR |
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Recursos Florestais e Engenharia Florestal |
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Universidade Federal de Santa Maria |
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