Author(s): Itani Dale Ndwambi, Akihiro Kadota, Omar Mahmoud Seleem
Linked Author(s): Akihiro Kadota
Keywords: Grain size, drone, image analysis, BASEGRAIN, Hiji River
Abstract: In order to clarify several phenomena occurring in rivers such as river bed changes and flood flows, accurate information on grain size distributions is very crucial. Determination of grain size affects the accuracy of numerical flow and river bed configuration analysis. The most used method to measure grain size distributions is by sampling sand and gravel at selected sites in a river. However, this method is tedious and costly. The current study proposes an efficient method to accurately estimate the distribution of grain size by means of surface images of sand deposition areas (taken by drone) such as a sand bar. Image analysis is based on estimation of each particle size using BASEGRAIN which is a code in MATLAB. In this study, the accuracy of the image analysis is verified by comparing it with the sampling results and the applicability of the method is discussed
Year: 2017