文章基本信息

标题：ELABORACIÓN DE CARTAS TEMÁTICAS DE LA RUGOSIDAD SUPERFICIAL EN PLANICIES DE NUNDACIÓN. CUENCA INFERIOR DEL RÍO SALADO (SANTA FE, ARGENTINA)
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作者：FERNANDO BODOIRA ; SILVIO GRACIANI ; ALFREDO TRENTO 等
期刊名称：Boletim de Ciências Geodésicas
印刷版ISSN：1982-2170
出版年度：2009
卷号：15
期号：4
语种：Portuguese
出版社：Universidade Federal do Paraná-UFPR
摘要：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%.
其他摘要：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%.
关键词：Planicie;Imagen Satelital;Rugosidad;Salado.