Elaboration of thematic maps of superficial roughness in flooded plains lower basin of Salado River

Detalhes bibliográficos
Autor(a) principal: BODOIRA, FERNANDO
Data de Publicação: 2009
Outros Autores: GRACIANI, SILVIO, TRENTO, ALFREDO
Tipo de documento: Artigo
Idioma: por
Título da fonte: Boletim de Ciências Geodésicas
Texto Completo: https://revistas.ufpr.br/bcg/article/view/16274
Resumo: A methodology to transform every pixel data from satellite images into Manning’s n roughness coefficient is presented in this paper. The data were taken at the lower basin of the Salado River during winter and summer using Landsat 7 ETM satellite images and field measurements. Seven classes of interest, which  correspond to different vegetation heights and ground types, were considered. In order to transform each class into  n coefficients, the respective classifications were converted into vector files of geographical coordinates and class number. The raster-to-vector conversion algorithm was used for this purpose. The Keulegan equation for hydraulically rough beds was used to determine the n coefficient. When Summer and Winter values were compared, due to vegetation growth, the roughness coefficient showed an average increase of 45%.
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spelling Elaboration of thematic maps of superficial roughness in flooded plains lower basin of Salado RiverELABORACIÓN DE CARTAS TEMÁTICAS DE LA RUGOSIDAD SUPERFICIAL EN PLANICIES DE NUNDACIÓN. CUENCA INFERIOR DEL RÍO SALADO (SANTA FE, ARGENTINA)Fotogrametria e Sensoriamento RemotoPlanicie; Imagen Satelital; Rugosidad; Salado.A methodology to transform every pixel data from satellite images into Manning’s n roughness coefficient is presented in this paper. The data were taken at the lower basin of the Salado River during winter and summer using Landsat 7 ETM satellite images and field measurements. Seven classes of interest, which  correspond to different vegetation heights and ground types, were considered. In order to transform each class into  n coefficients, the respective classifications were converted into vector files of geographical coordinates and class number. The raster-to-vector conversion algorithm was used for this purpose. The Keulegan equation for hydraulically rough beds was used to determine the n coefficient. When Summer and Winter values were compared, due to vegetation growth, the roughness coefficient showed an average increase of 45%. En este trabajo se expone una metodología para transformar los datos de cada píxel de las imágenes satelitales en coeficientes de rugosidad  n de Manning. Los datos fueron tomados en la cuenca inferior del río saladio duranre invierno y verano usando imágenes satelitales Landsat 7 ETM y trabajos de campo. Se consideraron siete clases que corresponden a diferentes alturas de vegetación y tipos de terreno. Para transformar cada clase en coeficientes  n, las clasificaciones respectivas se convirtieron en archivos vectoriales con coordenadas geográficas y número de clase. Se empleó para este propósito un algoritmo de conversión raster-vector. Fue empleada la ecuación de Keulegan según fondos hidráulicamente rugosos para determinar el coeficiente n. Cuando se compararon valores para invierno y verano, debido al crecimiento de la vegetación, el coeficiente de rugosidad mostró un incremento promedio del 45%. Boletim de Ciências GeodésicasBulletin of Geodetic Sciences2009-12-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revistas.ufpr.br/bcg/article/view/16274Boletim de Ciências Geodésicas; Vol 15, No 4 (2009)Bulletin of Geodetic Sciences; Vol 15, No 4 (2009)1982-21701413-4853reponame:Boletim de Ciências Geodésicasinstname:Universidade Federal do Paraná (UFPR)instacron:UFPRporhttps://revistas.ufpr.br/bcg/article/view/16274/10766BODOIRA, FERNANDOGRACIANI, SILVIOTRENTO, ALFREDOinfo:eu-repo/semantics/openAccess2009-12-09T16:38:47Zoai:revistas.ufpr.br:article/16274Revistahttps://revistas.ufpr.br/bcgPUBhttps://revistas.ufpr.br/bcg/oaiqdalmolin@ufpr.br|| danielsantos@ufpr.br||qdalmolin@ufpr.br|| danielsantos@ufpr.br1982-21701413-4853opendoar:2009-12-09T16:38:47Boletim de Ciências Geodésicas - Universidade Federal do Paraná (UFPR)false
dc.title.none.fl_str_mv Elaboration of thematic maps of superficial roughness in flooded plains lower basin of Salado River
ELABORACIÓN DE CARTAS TEMÁTICAS DE LA RUGOSIDAD SUPERFICIAL EN PLANICIES DE NUNDACIÓN. CUENCA INFERIOR DEL RÍO SALADO (SANTA FE, ARGENTINA)
title Elaboration of thematic maps of superficial roughness in flooded plains lower basin of Salado River
spellingShingle Elaboration of thematic maps of superficial roughness in flooded plains lower basin of Salado River
BODOIRA, FERNANDO
Fotogrametria e Sensoriamento Remoto
Planicie; Imagen Satelital; Rugosidad; Salado.
title_short Elaboration of thematic maps of superficial roughness in flooded plains lower basin of Salado River
title_full Elaboration of thematic maps of superficial roughness in flooded plains lower basin of Salado River
title_fullStr Elaboration of thematic maps of superficial roughness in flooded plains lower basin of Salado River
title_full_unstemmed Elaboration of thematic maps of superficial roughness in flooded plains lower basin of Salado River
title_sort Elaboration of thematic maps of superficial roughness in flooded plains lower basin of Salado River
author BODOIRA, FERNANDO
author_facet BODOIRA, FERNANDO
GRACIANI, SILVIO
TRENTO, ALFREDO
author_role author
author2 GRACIANI, SILVIO
TRENTO, ALFREDO
author2_role author
author
dc.contributor.author.fl_str_mv BODOIRA, FERNANDO
GRACIANI, SILVIO
TRENTO, ALFREDO
dc.subject.por.fl_str_mv Fotogrametria e Sensoriamento Remoto
Planicie; Imagen Satelital; Rugosidad; Salado.
topic Fotogrametria e Sensoriamento Remoto
Planicie; Imagen Satelital; Rugosidad; Salado.
description A methodology to transform every pixel data from satellite images into Manning’s n roughness coefficient is presented in this paper. The data were taken at the lower basin of the Salado River during winter and summer using Landsat 7 ETM satellite images and field measurements. Seven classes of interest, which  correspond to different vegetation heights and ground types, were considered. In order to transform each class into  n coefficients, the respective classifications were converted into vector files of geographical coordinates and class number. The raster-to-vector conversion algorithm was used for this purpose. The Keulegan equation for hydraulically rough beds was used to determine the n coefficient. When Summer and Winter values were compared, due to vegetation growth, the roughness coefficient showed an average increase of 45%.
publishDate 2009
dc.date.none.fl_str_mv 2009-12-09
dc.type.none.fl_str_mv

dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://revistas.ufpr.br/bcg/article/view/16274
url https://revistas.ufpr.br/bcg/article/view/16274
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://revistas.ufpr.br/bcg/article/view/16274/10766
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Boletim de Ciências Geodésicas
Bulletin of Geodetic Sciences
publisher.none.fl_str_mv Boletim de Ciências Geodésicas
Bulletin of Geodetic Sciences
dc.source.none.fl_str_mv Boletim de Ciências Geodésicas; Vol 15, No 4 (2009)
Bulletin of Geodetic Sciences; Vol 15, No 4 (2009)
1982-2170
1413-4853
reponame:Boletim de Ciências Geodésicas
instname:Universidade Federal do Paraná (UFPR)
instacron:UFPR
instname_str Universidade Federal do Paraná (UFPR)
instacron_str UFPR
institution UFPR
reponame_str Boletim de Ciências Geodésicas
collection Boletim de Ciências Geodésicas
repository.name.fl_str_mv Boletim de Ciências Geodésicas - Universidade Federal do Paraná (UFPR)
repository.mail.fl_str_mv qdalmolin@ufpr.br|| danielsantos@ufpr.br||qdalmolin@ufpr.br|| danielsantos@ufpr.br
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