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Fusion of radar and optical data for mapping and monitoring of water bodies

机译:雷达和光学数据的融合,用于测绘和监测水体

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Remote sensing techniques owe their great popularity to the possibility to obtain of rapid, accurate and information over large areas with optimal time, spatial and spectral resolutions. The main areas of interest for remote sensing research had always been concerned with environmental studies, especially water bodies monitoring. Many methods that are using visible and near- an infrared band of the electromagnetic spectrum had been already developed to detect surface water reservoirs. Moreover, the usage of an image obtained in visible and infrared spectrum allows quality monitoring of water bodies. Nevertheless, retrieval of water boundaries and mapping surface water reservoirs with optical sensors is still quite demanding. Therefore, the microwave data could be the perfect complement to data obtained with passive optical sensors to detect and monitor aquatic environment especially surface water bodies. This research presents the methodology to detect water bodies with open- source satellite imagery acquired with both optical and microwave sensors. The SAR Sentinel- 1 and multispectral Sentinel- 2 imagery were used to detect and monitor chosen reservoirs in Poland. In the research Level, 1 Sentinel- 2 data and Level 1 SAR images were used. SAR data were mainly used for mapping water bodies. Next, the results of water boundaries extraction with Sentinel-1 data were compared to results obtained after application of modified spectral indices for Sentinel- 2 data. The multispectral optical data can be used in the future for the evaluation of the quality of the reservoirs. Preliminary results obtained in the research had shown, that the fusion of data obtained with optical and microwave sensors allow for the complex detection of water bodies and could be used in the future quality monitoring of water reservoirs.
机译:遥感技术欠他们的普及,以便在具有最佳时间,空间和光谱分辨率的大面积上获得快速,准确和信息的可能性。遥感研究的主要感兴趣领域一直关注环境研究,尤其是水体监测。已经开发出使用可见光和近的电磁谱的红外带的许多方法以检测表面水库。此外,在可见和红外光谱中获得的图像的使用允许水体的质量监测。然而,使用光学传感器的水界和映射表面水库的检索仍然非常苛刻。因此,微波数据可以是对具有无源光学传感器获得的数据的完美补充,以检测和监测水生环境,尤其是地表水体。该研究介绍了用光纤和微波传感器获取的具有开放源卫星图像的水体的方法。 SAR Sentinel-1和MultiSpectral Sentinel-2图像用于检测和监控波兰的选择。在研究水平中,使用1个Sentinel-2数据和1级SAR图像。 SAR数据主要用于映射水体。接下来,将用Sentinel-1数据提取的水边界提取与在施用Sentinel-2数据的修改的光谱索引获得的结果进行了比较。多光谱光学数据可以在将来使用,以评估储存器的质量。在该研究中获得的初步结果显示,用光学和微波传感器获得的数据融合允许复杂的水体检测,并可用于水库的未来质量监测。

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