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Using SAR and optical data from Sentinel satellites for precise modeling of seasonal floating reed islands dynamics in Srebarna Lake

机译:SAR和光学数据来自SENTINEL SATELLES,精确建模SREBARNA湖季节浮动芦苇岛动态

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The present study is a continuation of the previous monitoring studies on floating reed islands based on remote sensing methods, but this time the study is much more precise in order to create a sustainable operating model for subsequent monitoring studies on this specific type of habitats. The aim of this study is to create a precise model for the movement and dynamic of the floating reed islands in Srebarna Lake. This was done by creating a hybrid model (based on optical and SAR data), assessing the actually condition of floating reed islands, and applying it to quantify of the movement of floating reed islands to perform an actual and seasonal habitats monitoring. To create the hybrid model, the advantages of SAR data-Sentinel-1 for the hydrological dynamics monitoring of Srebarna Lake were used. The SAR data used were obtained for different time periods, within the observed seasons. Multispectral satellite data from Sentinel-2 was also used in order to apply an orthogonal transformation model called Tasselled Cap Transformation (TCT). The Tasselled Cap model is a very effective method for classifying and analyzing processes related to the dynamics of changes affecting the main components of the Earth's surface: soil, water, and vegetation. This model proved to be very effective in recognizing specific types of vegetation and habitats, such as floating reed islands and their transformation over a period of time. The results for the reconciliation of TCT images and SAR data define very well the precise boundaries of both the central water body in Srebarna Lake, and the floating reed islands. The results obtained by means of comparative analysis confirm both methods as being equally effective to determine the floating reed islands dynamics in the hybrid model proposed in this study.
机译:本研究是基于遥感方法的浮动芦苇岛上先前监测研究的延续,但这次研究更精确,以便为随后对这种特定类型的栖息地进行监测研究进行可持续运行模式。本研究的目的是为Srebarna湖的浮动芦苇岛的运动和动态创造一个精确的模型。这是通过创建混合模型(基于光学和SAR数据)来完成的,评估浮动芦苇岛的实际条件,并将其应用于浮动芦苇岛的运动,以执行实际和季节性栖息地监测。为了创建混合模型,使用了SRATBARNA湖水文动力学监测SAR DATA-SENTINEL-1的优势。使用的SAR数据在观察到的季节内获得不同的时间段。来自Sentinel-2的多光谱卫星数据也用于应用称为Tasselled帽变换(TCT)的正交变换模型。 Tasselled Cap模型是对与影响地球表面主要成分的变化动力学进行分类和分析过程的一种非常有效的方法:土壤,水和植被。该模型证明是非常有效地识别特定类型的植被和栖息地,例如浮动芦苇岛及其在一段时间内的转变。 TCT图像和SAR数据和解的结果非常好地定义了SREBARNA湖中央水体的精确边界,以及漂浮的芦苇岛。通过比较分析获得的结果证实了两种方法,同样有效地确定本研究提出的混合模型中的浮动芦苇岛动态。

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