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Evaluating the potential of image fusion of multispectral and radar remote sensing data for the assessment of water bodystructure

机译:评估多光谱和雷达遥感数据的图像融合的潜力,以进行水体结构评估

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The European Water Framework Directive (Directive 2000/60/EC) is a mandatory agreement that guides the member states of the European Union in the field of water policy to fulfil the requirements for reaching the aim of the good ecological status of water bodies. In the last years several workflows and methods were developed to determine and evaluate the characteristics and the status of the water bodies. Due to their area measurements remote sensing methods are a promising approach to constitute a substantial additional value. With increasing availability of optical and radar remote sensing data the development of new methods to extract information from both types of remote sensing data is still in progress. Since most limitations of these data setsdo not agree the fusion of both data sets to gain data with higher spectral resolution features the potential to obtain additional information in contrast to the separate processing of the data. Based thereupon this study shall research the potential ofmultispectral and radar remote sensing data and the potential of their fusion for the assessment of the parameters of water body structure. Due to the medium spatial resolution of the freely available multispectral Sentinel-2 data sets especially the surroundings of the water bodies and their land use are part of this study. SAR data is provided by the Sentinel-1 satellite. Different image fusion methods are tested and the combined products of both data sets are evaluated afterwards. The evaluation ofthe single data sets and the fused data sets is performed by means of a maximum-likelihood classification and several statistical measurements. The results indicate that the combined use of different remote sensing data sets can have an added value.
机译:欧洲水框架指令(指令2000/60 / EC)是一个强制性协议,指导欧盟在水政策领域的成员国,以满足达到水体良好生态地位的要求。在过去几年中,开发了几个工作流程和方法,以确定和评估水体的特点和状态。由于它们的区域测量,遥感方法是构成实质额外价值的有希望的方法。随着光学和雷达遥感数据的增加,开发新方法以从两种类型的遥感数据中提取信息仍在进行中。由于这些数据集的大多数限制不同意两个数据集的融合,以利用具有更高光谱分辨率的数据,该数据具有与数据的单独处理相反获得附加信息的潜力。基于此研究本研究应研究MultiSpectral和雷达遥感数据的潜力,以及它们融合的潜力,以评估水体结构参数。由于自由可用的MultiSpectral Sentinel-2数据集的中等空间分辨率,特别是水体的周围环境及其土地使用是本研究的一部分。 SAR数据由Sentinel-1卫星提供。测试不同的图像融合方法,并在后续评估两个数据集的组合产品。通过最大似然分类和若干统计测量来执行单个数据集和熔融数据集的评估。结果表明,不同遥感数据集的组合使用可以具有附加值。

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