利用landast 8图像检测尼罗河第四河段的总溶解固体

dina rabih, N. Donia, A. Moussa
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摘要

由于难以进入河流等大面积水体,现场数据收集是最具挑战性的任务之一。卫星图像可用于测量大面积水体的水质。卫星数据已广泛用于建立水质参数(WQPs)预测算法。总溶解固形物(TDS)是水体中的有机和无机物,是水质参数之一。这些天然和人工物质可能会影响水质、健康和日常活动。遥感使跟踪TDS更容易。本研究探讨了Landsat 8操作陆地成像仪(OLI)图像如何估算尼罗河第四河段地表水的TDS。根据卫星数据预测TDS是这项研究的最终目标。数据是在2017年2月、2017年8月、2018年2月和2018年8月四个季节在研究区域收集的。测量数据是从从明亚到开罗选定的七个地点收集的。数据被分为两组;利用20个点建立Landsat 8波段电磁辐射测量值与反射值之间的关系。而其他8个点则通过1波段与2波段组合的线性方程进行交叉验证,检验预测TDS的准确性。RMSE高达31,但它建议在类似条件下使用该模型,并在不同条件和范围外数据中使用另一种相关性。
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DETECTION OF TOTAL DISSOLVED SOLIDS IN THE FOURTH REACH OF THE NILE RIVER BY USING LANDAST 8 IMAGERY
Field data collection is one of the most challenging tasks due to the difficulty accessing large areas of water bodies like rivers. Satellite images can be used to measure water quality over large areas of water bodies. Satellite data has been widely used to build Water Quality Parameters (WQPs) prediction algorithms. Total Dissolved Solids (TDS) are organic and inorganic substances in water and one of water quality parameter. These natural and artificial substances may affect water quality, health, and daily activities. Remote sensing makes tracking TDS easier. This study examines how Landsat 8 Operational Land Imager (OLI) images can estimate TDS in surface water along the fourth Nile River reach. Predicting TDS from satellite data is the study's final goal. The data were collected across the study area during four seasons, Feb. 2017, Aug. 2017, Feb. 2018, and Aug. 2018. The measured data are collected from seven places chosen to be located from El-Minya to Cairo. The data were divided into two main groups; twenty points were used to build a relation between the measured and reflected electromagnetic radiation of the Landsat 8 bands. While the other eight points were used through a linear equation of the band combination between Band 1 and 2 in cross-validation to test the accuracy of predicted TDS. The RMSE was high as 31, but it recommends using this model in similar conditions and using another correlation in different conditions and out-range data.
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