Macrozoneamento do Estado do Rio Grande do Sul

Detalhes bibliográficos
Autor(a) principal: Guasselli, Laurindo Antônio
Data de Publicação: 2006
Outros Autores: Saldanha, Dejanira Luderitz, Suertegaray, Dirce Maria Antunes, Ducati, Jorge Ricardo, Fontana, Denise Cybis
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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spelling 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.
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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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