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Determination of water body structures for small rivers using remote sensing data

机译：利用遥感数据确定小河水体结构

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The diversity of habitats in water bodies like rivers is characterised by the status of morphological and hydrologi-cal conditions. The good ecological status of water bodies is claimed in the European Water Framework Directive. For the assessment of this status the hydro-morphology is one of the most important supporting components for the classification of the ecological status of water bodies. Therefore the periodical monitoring is a mandatory measure in the scope of the European Water Framework Directive. Regarding the so called overview-method of the LAWA (German Working Group on water issues of the Federal States and the Federal Government represented by the Federal Environment Ministry) the use of remote sensing data and remote sensing methodologies becomes more important. Therefore remote sensing data on different scales (satellite, aerial photographs) as well as other topographic information (ATKIS) and a high resolution DTM are merged into an integrative process of analysis using remote sensing and GIS methodology. The analyses ared focused on two parameters. First, a detailed landuse classification based on LANDSAT satellite data is performed for whole catchment of a small river. The results show significant increase of urban areas close to the river. The second analyses deals with the determination of river curvature and introduces the use of a quasi-continously representation of the river. An additional challenge is the chosen study area of a low mountain range river. While large rivers are clear visible in remote sensing data, the usability and transformation of the well-established algorithms and workflows to small rivers need a further substantial research.
机译：水体（如河流）的栖息地多样性以形态和水文条件的状况为特征。欧洲水框架指令要求水体具有良好的生态状况。为了评估这种状况，水形态是对水体生态状况进行分类的最重要的支持成分之一。因此，定期监测是欧洲水框架指令范围内的强制性措施。关于LAWA（联邦环境部代表的联邦国家和联邦政府的水问题德国工作组）的所谓概述方法，使用遥感数据和遥感方法变得更加重要。因此，使用遥感和GIS方法将不同规模的遥感数据（卫星，航空照片）以及其他地形信息（ATKIS）和高分辨率DTM合并到一个综合分析过程中。分析着重于两个参数。首先，对一条小河的整个流域进行了基于LANDSAT卫星数据的详细土地利用分类。结果表明，靠近河流的市区面积显着增加。第二个分析处理河流曲率的确定，并介绍了准连续表示方法对河流的使用。另一个挑战是如何选择低山脉河流的研究区域。尽管大型河流在遥感数据中清晰可见，但是将完善的算法和工作流程转换为小型河流的可用性和转换需要进一步的实质性研究。

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