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Building Automated Navigation System for River Nile in Egypt Using Remote Sensing and GIS Techniques

机译:利用遥感和GIS技术构建埃及尼罗河自动导航系统

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In recent years the Government of Egypt initiated the efforts towards developing a navigation system in River Nile in Egypt. These efforts will increase the revenue from tourism; reduce the cost of shipping and the load on transportation network and overcome tourism ships which stuck near Luxor and Aswan city that happed every year during the peak of the tourism season between November-February due to decrease in water level that can affect 300 tourism boats with a capacity for accommodating over 60,000 tourists per week. Developing River Nile navigation system depends on the availability of updated data and information for River Nile depths all over the year in order to identify the best route that can be used for ships. River Nile water level always changes that effect changing of River Nile depths. This point is critical and has entertained thinking about using remote sensing technology that can derive bathymetric data from high-resolution multispectral satellite imagery. In this paper, Stumpf algorithm for estimating shallow water depth from multispectral data is applied in our study area near Esna district. This methodology is based on linear logarithm ratio model between image bands; the retrieved bathymetry is compared with echo sounder data. The validation results show that the applied method has acceptable performance, and the Root Mean Square Error (RMSEr) is 0.79 m. Then the second part in this paper building an automated navigation system for River Nile fleet in Egypt using Linear Reference and Dynamic Segmentation techniques based on the above retrieved bathymetry data and the other available collected data from different resources. The developed application is integration between Geomatics Engineering and Software Engineering on how maps, data, functions and information were used in a useful way using programming language to allow operation of all inertial navigation.
机译:近年来,埃及政府开始努力开发埃及尼罗河上的导航系统。这些努力将增加旅游业的收入;降低运输成本和运输网络的负担,并克服在11月至2月的旅游旺季期间每年停滞在卢克索和阿斯旺市附近的旅游船,因为水位下降会影响300艘旅游船每周可容纳60,000名游客的能力。发展尼罗河导航系统取决于一年四季尼罗河深度更新数据和信息的可用性,以便确定可用于船舶的最佳路线。尼罗河水位一直在变化,这会影响尼罗河深度的变化。这一点很关键,已经引起了关于使用遥感技术的思考,该技术可以从高分辨率多光谱卫星图像中获取测深数据。本文在埃斯纳地区附近的研究区域中应用了基于多光谱数据估算浅水深度的Stumpf算法。该方法基于图像带之间的线性对数比模型。将检索到的测深与回声测深仪数据进行比较。验证结果表明,该方法具有良好的性能,均方根误差(RMSEr)为0.79 m。然后,本文的第二部分基于上述检索的测深数据和其他可从不同资源收集的数据,使用线性参考和动态分段技术为埃及尼罗河船队构建了一个自动导航系统。所开发的应用程序是Geomatics Engineering与Software Engineering之间的集成,涉及如何使用编程语言以有效方式使用地图,数据,功能和信息,以允许所有惯性导航的操作。

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