Bathymetric survey of water reservoirs in north-eastern Brazil based on TanDEM-X satellite data.
Bathymetric survey of water reservoirs in north-eastern Brazil based on TanDEM-X satellite data.
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DOI：
10.1016/j.scitotenv.2016.07.024
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发表时间：
2016-11
期刊：
影响因子：
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通讯作者：
Shuping Zhang;S. Foerster;P. Medeiros;J. C. de Araújo;M. Motagh;Bjoern Waske
中科院分区：
文献类型：
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作者：
Shuping Zhang;S. Foerster;P. Medeiros;J. C. de Araújo;M. Motagh;Bjoern Waske
旱季缺水是巴西东北部等干旱地区的一个重要问题。这些地区的供水往往来自各种规模的水库。然而，这些水库的库存数据往往是有限的，因为通过实地调查，特别是在偏远地区进行实地调查所需的费用和时间。遥感技术提供了一个有价值的替代传统的水库测深调查水资源management.In这项研究中，单通TanDEM-X数据获取的双基地模式被用来生成数字高程模型（DEM）在马达莱纳集水区，巴西东北部。验证差分全球定位系统（DGPS）的数据从现场测量表明，绝对高程精度约为1米的TanDEM-X派生DEM（TDX DEM）。来自TanDEM-X数据在低水位采集的DEM显示出显着的优势，来自实地调查的测深图，特别是在覆盖范围，均匀分布的测量和水库形状的复制。此外，通过用TanDEM-X数据绘制干燥的水库底部，TDX DEM不含挺水和沉水植物，不受水深（例如> 10米）、水质甚至天气条件的影响。因此，该方法上级其他现有的测深制图方法，特别是对于内陆水体。所提出的方法依赖于（几乎）干燥的水库条件下的图像采集，因此仅限于显示相当大的水位变化的地区。然而，TDX DEM和来自实地调查的测深图之间的比较表明，在干燥阶段保留的水量对TDX DEM的总水量推导只有轻微的影响。总体而言，从双基地TanDEM-X数据在枯水期获得的DEM构成了一个有用的和有效的数据源，用于推导水库测深，并显示出巨大的潜力，在大规模的应用。
Water scarcity in the dry season is a vital problem in dryland regions such as northeastern Brazil. Water supplies in these areas often come from numerous reservoirs of various sizes. However, inventory data for these reservoirs is often limited due to the expense and time required for their acquisition via field surveys, particularly in remote areas. Remote sensing techniques provide a valuable alternative to conventional reservoir bathymetric surveys for water resource management.In this study single pass TanDEM-X data acquired in bistatic mode were used to generate digital elevation models (DEMs) in the Madalena catchment, northeastern Brazil. Validation with differential global positioning system (DGPS) data from field measurements indicated an absolute elevation accuracy of approximately 1 m for the TanDEM-X derived DEMs (TDX DEMs). The DEMs derived from TanDEM-X data acquired at low water levels show significant advantages over bathymetric maps derived from field survey, particularly with regard to coverage, evenly distributed measurements and replication of reservoir shape. Furthermore, by mapping the dry reservoir bottoms with TanDEM-X data, TDX DEMs are free of emergent and submerged macrophytes, independent of water depth (e.g. > 10 m), water quality and even weather conditions. Thus, the method is superior to other existing bathymetric mapping approaches, particularly for inland water bodies. The proposed approach relies on (nearly) dry reservoir conditions at times of image acquisition and is thus restricted to areas that show considerable water levels variations. However, comparisons between TDX DEM and the bathymetric map derived from field surveys show that the amount of water retained during the dry phase has only marginal impact on the total water volume derivation from TDX DEM. Overall, DEMs generated from bistatic TanDEM-X data acquired in low water periods constitute a useful and efficient data source for deriving reservoir bathymetry and show great potential in large scale application.