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Research of the relationship between the water area and water level of Poyang Lake based on remote sensing image

机译：基于遥感影像的of阳湖水域面积与水位关系研究

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With the development and application of remote sensing technology it has become a focus to extract water body information from satellite remote-sensing images for large-area water body identification and flood disaster monitoring. At the same time, water extraction methods e.g. threshold method, chroma discrimination method, ration method, spectrum-photometric method and spectral mixture analysis method were also applied. Compared with several commonly used satellites, MODIS (Moderate Resolution Imaging Spectroradiometer) had many advantages, e.g. easily accessible data, wide waveband range, large coverage, short period and superior continuity. What is more, data from MODIS can be obtained free of charge. The characteristics listed above led to the feasibility and popularity of MODIS in water body identification, which has great practical value in real-time water body dynamic monitoring and flood disaster emergency treatment. As the largest freshwater lake in China, Poyang Lake is also threatened by frequent flood occurrence. It is necessary to extract the water area and water level information from Poyang Lake through remote-sensing images automatically, rapidly and accurately to realize the real-time monitoring of spatial dynamic variations of the water body in Poyang Lake. In this research, water information was extracted from MODIS remote-sensing images firstly. The water body model was then constructed by normalized difference vegetation index to calculate the water area values in different periods. Remote sensing measurement results were combined with the statistical data about water area and water level of Poyang Lake in previous years, and the water area-water level mathematical model with high accuracy was established. It provides a feasible tool for the real time monitoring of water body spatial variations in Poyang Lake through remote-sensing images, which will play an important role in flood monitoring and flood prevention for lakes and reservoirs.
机译：随着遥感技术的发展和应用，从卫星遥感图像中提取水体信息以进行大面积水体识别和洪水灾害监测成为了研究的重点。同时，水提取方法例如还应用了阈值法，色度鉴别法，定量法，光谱光度法和光谱混合分析法。与几种常用的卫星相比，MODIS（中等分辨率成像光谱仪）具有许多优势，例如数据易于访问，波段范围宽，覆盖范围大，周期短且具有出色的连续性。此外，可以免费获取来自MODIS的数据。上述特点导致MODIS在水体识别中的可行性和广泛性，在实时水体动态监测和洪灾应急处理中具有重要的实用价值。作为中国最大的淡水湖，Po阳湖也受到洪水泛滥的威胁。有必要通过遥感图像自动，快速，准确地提取Po阳湖水域面积和水位信息，以实现monitoring阳湖水体空间动态变化的实时监测。在这项研究中，首先从MODIS遥感图像中提取了水信息。然后利用归一化植被指数建立水体模型，计算出不同时期的水面积值。将遥感测量结果与previous阳湖前几年的水域水位统计数据相结合，建立了高精度的水域水位数学模型。为遥感影像实时监测Po阳湖水体空间变化提供了一种可行的工具，将在湖泊和水库的洪水监测和防洪中发挥重要作用。

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