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Estimation of Polder Retention Capacity Based on ASTER, SRTM and LIDAR DEMs: The Case of Majdany Polder (West Poland)

机译:基于ASTER,SRTM和LIDAR DEM的Pol保持力估计:以Majdany Polder为例(西波兰)

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This study compares four digital elevation models (DEMs), based on various data sources, to define polder retention capacities. Two commercial and two publically available, free of charge data sources were used. Commercial sources are DEMs based on aerial images and LIDAR (Light Detection and Ranging) data. Free data source DEMs generated are based on: SRTM (Shuttle Radar Topography Mission) and ASTER GDEM (ASTER Global Digital Elevation Model). In addition, the impact of the spatial resolution of the numerical terrain model on the calculated polder volume was evaluated. A DEM based on LIDAR data was used as the reference model and was supplemented with our own geodetic GPS (Global Positioning System) measurements. In flood modeling and management, including retention of river valleys and polders, it is necessary to properly estimate their capacity and the relation between capacity and water level. The study showed the impact of quantitative and qualitative data sources in determining the retention capacity of a polder.
机译:这项研究基于各种数据源比较了四个数字高程模型(DEM),以定义田retention留能力。使用了两个商业数据和两个公开可用的免费数据源。商业来源是基于航拍图像和LIDAR(光检测和测距)数据的DEM。生成的免费数据源DEM基于:SRTM(航天飞机雷达地形任务)和ASTER GDEM(ASTER全球数字高程模型)。此外,还评估了数字地形模型的空间分辨率对计算出的田体积的影响。基于LIDAR数据的DEM被用作参考模型,并补充了我们自己的大地测量GPS(全球定位系统)测量。在洪水建模和管理(包括保留河谷和地)中,有必要适当估计其容量以及容量与水位之间的关系。这项研究表明了定量和定性数据源对确定pol田保留能力的影响。

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