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首页> 外文期刊>International Journal of Atmospheric and Oceanic Sciences >The Challenges of River Bathymetry Survey Using Space Borne Remote Sensing in Bangladesh
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The Challenges of River Bathymetry Survey Using Space Borne Remote Sensing in Bangladesh

机译：孟加拉国使用太空遥感进行河流测深法测量的挑战

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摘要

Over the last two decades there has been a revolution in our ability to map and monitor large areas of subaerial topography using technologies such as radar and near-infrared Light Detection and Ranging. The Multispectral Remote Sensing (RS) Satellite 'WorldView-2' imagery has the ability to measure water depth up to 25m. Studies have been conducted based on the band ratio algorithm to determine water depth in the study area the Ganges River in Bangladesh. This method is able to generate accurate depth measurements at points or along transects, and also offer more flexible, efficient and costeffective means of mapping bathymetry over broad areas. There are two methods are available to derive bathymetry from remote sensing imagery which are "linear method" and "ratio method". The linear method is depended upon bottom type albedo. While different bottom types at the same depth would be incorrectly calculated for one of these two substrates. The accuracy of the retrieved bathymetry varies with water depth, with the accuracy substantially lower at a depth beyond 12 m. Other influential factors and challenges include water turbidity and bottom materials, as well as image properties.
机译：在过去的二十年中，我们使用雷达和近红外光检测和测距等技术绘制和监视大面积的地下地形的能力发生了革命性变化。多光谱遥感（RS）卫星“ WorldView-2”图像可以测量长达25m的水深。已经基于带比率算法进行了研究，以确定孟加拉国恒河的研究区域的水深。这种方法不仅可以在点处或沿断面生成精确的深度测量值，而且还可以提供更灵活，有效和更具成本效益的方法来在大范围内绘制测深图。有两种方法可以从遥感影像中得出测深法，分别是“线性法”和“比率法”。线性方法取决于底部类型的反照率。虽然对于这两个基板之一将错误地计算出在相同深度处的不同底部类型。所获取的测深仪的精度随水深而变化，在超过12 m的深度处精度会大大降低。其他影响因素和挑战包括水浊度和底部物料以及图像特性。

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