Elaboration of thematic maps of superficial roughness in flooded plains lower basin of Salado River
Autor(a) principal: | |
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Data de Publicação: | 2009 |
Outros Autores: | , |
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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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 |
_version_ |
1799771717762023424 |