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Satellite Image Processing and Mathematical Modeling of the Growth of Cyanobacteria to Determine the Level of Environmental Contamination in the Tiete River Beach

机译:卫星图像处理和数学建模的蓝细菌生长,以确定Tiete River Beach中的环境污染水平

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In this study satellite images obtained from LANDSAT (series 5 and 7) were used to obtain a correlation between the level of contamination in the Tiete river beach near the city of Lins, Sao Paulo (Brazil). Using data from samples taken in the river, geo-referenced, a mathematical model of the growth of cyanobacteria was created to understand the ecosystem. With GPS coordinates and processing of LANDSAT images, a correlation at the pixel level with de cyanobacteria level at the same location could be calculated. With the mathematical model, the population of cyanobacteria can be determined (with a specific statistic error) and verified with the satellite images. The correlation method of pixels could be used, with images of LANDSAT to determine the contamination of cyanobacteria in the beach environment.
机译:在这项研究中,从Landsat(第5系和第7系)获得的卫星图像用于在林普(巴西)附近的Tiete River海滩污染水平之间的相关性。利用来自河流中的样品的数据,地理参考,创建了一种睾丸生长的数学模型,以了解生态系统。利用GPS坐标和LANDSAT图像的处理,可以计算在同一位置处的具有de Cyanobacteria水平的像素水平的相关性。利用数学模型,可以确定蓝细菌的群体(具有特定统计错误)并用卫星图像验证。可以使用像素的相关方法,利用Landsat的图像来确定海滩环境中的蓝细菌污染。

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