Macrozoneamento do Estado do Rio Grande do Sul
Autor(a) principal: | |
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Data de Publicação: | 2006 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Repositório Institucional da UFRGS |
Texto Completo: | http://hdl.handle.net/10183/22723 |
Resumo: | Earth imaging technologies using orbital platforms have allowed new approaches in the analyses, compartmentalization, and territorial visualization. These cartographic informations have many applications in agricultural, urban and environmental monitoring. In the case of vast geographic regions, such as Brazil, one expects that the many products obtained from imaging technology will be used to reduce costs and to provide a better understanding of the territory. The crossanalysis of the products from various imaging systems of different characteristics (e.g. pixel size, band, and data) allows the improvement of current maps as well as more complex analyses. The macrozoning of the state Rio Grande do Sul was accomplished by integrating orbital data of different characteristics and other cartographic products. The following sources supplied data on Rio Grande do Sul: 1) Landsat TM mosaic; 2) temporal NDVI/NOAA combination; 3) geomorphologic map; and 4) altimetric map. The cross-analysis of the data allow us to gather in a single map information from distinct cartographic sources, which better represent the diversity of the thematic classes in relation to the usage patterns of soil and plant life in the state of Rio Grande do Sul. |
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Guasselli, Laurindo AntônioSaldanha, Dejanira LuderitzSuertegaray, Dirce Maria AntunesDucati, Jorge RicardoFontana, Denise Cybis2010-05-21T09:24:46Z20061518-2398http://hdl.handle.net/10183/22723000569058Earth imaging technologies using orbital platforms have allowed new approaches in the analyses, compartmentalization, and territorial visualization. These cartographic informations have many applications in agricultural, urban and environmental monitoring. In the case of vast geographic regions, such as Brazil, one expects that the many products obtained from imaging technology will be used to reduce costs and to provide a better understanding of the territory. The crossanalysis of the products from various imaging systems of different characteristics (e.g. pixel size, band, and data) allows the improvement of current maps as well as more complex analyses. The macrozoning of the state Rio Grande do Sul was accomplished by integrating orbital data of different characteristics and other cartographic products. The following sources supplied data on Rio Grande do Sul: 1) Landsat TM mosaic; 2) temporal NDVI/NOAA combination; 3) geomorphologic map; and 4) altimetric map. The cross-analysis of the data allow us to gather in a single map information from distinct cartographic sources, which better represent the diversity of the thematic classes in relation to the usage patterns of soil and plant life in the state of Rio Grande do Sul.application/pdfporPesquisas em Geociências. Porto Alegre, RS. Vol. 33, n. 1 (2006), p. 3-11Macrozoneamento ambiental : Rio Grande do SulZoneamento agrícolaSensoriamento remotoImagiologiaImagens digitaisRio Grande do SulMacrozonesRemote sensingDigital imageMacrozoneamento do Estado do Rio Grande do Sulinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/otherinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFRGSinstname:Universidade Federal do Rio Grande do Sul (UFRGS)instacron:UFRGSTEXT000569058.pdf.txt000569058.pdf.txtExtracted Texttext/plain29910http://www.lume.ufrgs.br/bitstream/10183/22723/2/000569058.pdf.txt4a4ed2064269dadc2665fff300f6934cMD52ORIGINAL000569058.pdf000569058.pdfTexto completoapplication/pdf377699http://www.lume.ufrgs.br/bitstream/10183/22723/1/000569058.pdf2168fc1d26554069aa54eeb8bbc96187MD51THUMBNAIL000569058.pdf.jpg000569058.pdf.jpgGenerated Thumbnailimage/jpeg1905http://www.lume.ufrgs.br/bitstream/10183/22723/3/000569058.pdf.jpgc6f1d29660c28eb5a1d7395a175974beMD5310183/227232021-09-19 04:34:02.481945oai:www.lume.ufrgs.br:10183/22723Repositório de PublicaçõesPUBhttps://lume.ufrgs.br/oai/requestopendoar:2021-09-19T07:34:02Repositório Institucional da UFRGS - Universidade Federal do Rio Grande do Sul (UFRGS)false |
dc.title.pt_BR.fl_str_mv |
Macrozoneamento do Estado do Rio Grande do Sul |
title |
Macrozoneamento do Estado do Rio Grande do Sul |
spellingShingle |
Macrozoneamento do Estado do Rio Grande do Sul Guasselli, Laurindo Antônio Macrozoneamento ambiental : Rio Grande do Sul Zoneamento agrícola Sensoriamento remoto Imagiologia Imagens digitais Rio Grande do Sul Macrozones Remote sensing Digital image |
title_short |
Macrozoneamento do Estado do Rio Grande do Sul |
title_full |
Macrozoneamento do Estado do Rio Grande do Sul |
title_fullStr |
Macrozoneamento do Estado do Rio Grande do Sul |
title_full_unstemmed |
Macrozoneamento do Estado do Rio Grande do Sul |
title_sort |
Macrozoneamento do Estado do Rio Grande do Sul |
author |
Guasselli, Laurindo Antônio |
author_facet |
Guasselli, Laurindo Antônio Saldanha, Dejanira Luderitz Suertegaray, Dirce Maria Antunes Ducati, Jorge Ricardo Fontana, Denise Cybis |
author_role |
author |
author2 |
Saldanha, Dejanira Luderitz Suertegaray, Dirce Maria Antunes Ducati, Jorge Ricardo Fontana, Denise Cybis |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Guasselli, Laurindo Antônio Saldanha, Dejanira Luderitz Suertegaray, Dirce Maria Antunes Ducati, Jorge Ricardo Fontana, Denise Cybis |
dc.subject.por.fl_str_mv |
Macrozoneamento ambiental : Rio Grande do Sul Zoneamento agrícola Sensoriamento remoto Imagiologia Imagens digitais Rio Grande do Sul |
topic |
Macrozoneamento ambiental : Rio Grande do Sul Zoneamento agrícola Sensoriamento remoto Imagiologia Imagens digitais Rio Grande do Sul Macrozones Remote sensing Digital image |
dc.subject.eng.fl_str_mv |
Macrozones Remote sensing Digital image |
description |
Earth imaging technologies using orbital platforms have allowed new approaches in the analyses, compartmentalization, and territorial visualization. These cartographic informations have many applications in agricultural, urban and environmental monitoring. In the case of vast geographic regions, such as Brazil, one expects that the many products obtained from imaging technology will be used to reduce costs and to provide a better understanding of the territory. The crossanalysis of the products from various imaging systems of different characteristics (e.g. pixel size, band, and data) allows the improvement of current maps as well as more complex analyses. The macrozoning of the state Rio Grande do Sul was accomplished by integrating orbital data of different characteristics and other cartographic products. The following sources supplied data on Rio Grande do Sul: 1) Landsat TM mosaic; 2) temporal NDVI/NOAA combination; 3) geomorphologic map; and 4) altimetric map. The cross-analysis of the data allow us to gather in a single map information from distinct cartographic sources, which better represent the diversity of the thematic classes in relation to the usage patterns of soil and plant life in the state of Rio Grande do Sul. |
publishDate |
2006 |
dc.date.issued.fl_str_mv |
2006 |
dc.date.accessioned.fl_str_mv |
2010-05-21T09:24:46Z |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/other |
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info:eu-repo/semantics/publishedVersion |
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article |
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publishedVersion |
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http://hdl.handle.net/10183/22723 |
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1518-2398 |
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000569058 |
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http://hdl.handle.net/10183/22723 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.ispartof.pt_BR.fl_str_mv |
Pesquisas em Geociências. Porto Alegre, RS. Vol. 33, n. 1 (2006), p. 3-11 |
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info:eu-repo/semantics/openAccess |
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openAccess |
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application/pdf |
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