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Accuracy Assessment of Very High-Resolution Multispectral Images Derived Data for River Flow Modelling

机译:非常高分辨率多光谱图像的准确性评估河流模拟数据的数据

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The increased frequency of disaster events and the need for a rapid response for the prevention and remediation of flood disasters require realization of flood risk maps with very good precision based on high performance hydrodynamic river models using advanced hydroinformatics tools. Modelling performance, topographical data quality and quantity, hydrological and hydro meteorological surveys as well have very important for correct understanding and interpretation of all hydraulic aspects for minor and major riverbed. These are key factors in the need for new sources of data for hydrological modelling and flood risks management process. In this regard the actually development of satellite sensors, data, availability, Geographic Information System (GIS), and on the Hydroinformatics based river flow modelling techniques gives new opportunities in the analysis of the floods phenomenon. Use of the Very High Resolution remote sensing raster images to derive data useful for hydrological modelling is inviting and the answer to the question of accuracy of the data derived from remote sensing images is very important. In the present paper is investigated the methodology for using of multispectral satellite images acquired by Worldview2, SPOT 6 and SPOT 7 sensors for deriving hydrological model data and its corresponding accuracies. A case study using multispectral images related to rivers Timis, Bega and Timis-Bega canal in Romania and river flow model is foreseen for the future to verify the results of the methodology.
机译:增加灾害事件频率以及对防洪灾害的预防和修复的快速响应需要实现洪水风险地图,基于高性能水动力河流模型使用先进的水流性工具的高性能流体动力河流。建模性能,地形数据质量和数量,水文和水力气象调查以及对彻底和主要河床所有液压方面的正确理解和解释非常重要。这些是需要新的水文建模和洪水风险管理过程的新数据来源的关键因素。在这方面,实际开发卫星传感器,数据,可用性,地理信息系统(GIS)以及基于河流的河流模型技术,为洪水现象分析提供了新的机会。使用非常高分辨率的遥感光栅图像来导出有用的水文建模的数据令人邀请,并且从遥感图像导出的数据准确性问题的答案非常重要。在本文中,研究了使用WorldView2,Spot 6和Spot 7传感器获取的多光谱卫星图像的方法,用于导出水文模型数据及其相应的精度。使用与罗马尼亚和河流模型中的河流,Bega和Timis-Bega运河有关的多光谱图像的案例研究是为了验证方法的结果。

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