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

FERNANDO BODOIRA, SILVIO GRACIANI, ALFREDO TRENTO

Abstract


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%.

Keywords


Planicie; Imagen Satelital; Rugosidad; Salado.



Copyright (c)