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首页> 外文期刊>Water, Air, and Soil Pollution >Water Quality Retrievals from High Resolution Ikonos Multispectral Imagery: A Case Study in Istanbul, Turkey
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Water Quality Retrievals from High Resolution Ikonos Multispectral Imagery: A Case Study in Istanbul, Turkey

机译:高分辨率Ikonos多光谱影像中的水质检索:土耳其伊斯坦布尔的案例研究

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摘要

This paper presents an application of high resolution satellite remote sensing data for mapping water quality in the Goldon Horn, Istanbul. It is an applied research emphasizing the present water quality conditions in this region for water quality parameters; secchi disc depth (SDD), chlorophyl-a (chl-a) and total suspended sediment (TSS) concentration. The study also examines the retrievals of these parameters through high resolution IKONOS multispectral data supported by in situ measurements. Image processing procedure involving radio-metric correction is carried out for conversion from digital numbers (DNs) to spectral radiance to correlate water quality parameters and satellite data by using multiple regression technique. The retrieved and verified results show that the measured and estimated values of water quality parameters in good agreement (R~2 > 0.97). The spatial distribution maps are developed by using multiple regression algorithm belonging to water quality parameters. These maps present apparent spatial variations of selected parameters and inform the decision makers of water quality variations in a large water region in the Istanbul metropolitan area.
机译:本文介绍了高分辨率卫星遥感数据在测绘伊斯坦布尔高登霍恩水质方面的应用。这是一项应用研究,着重于该地区当前水质状况的水质参数; secchi盘深度(SDD),叶绿素a(chl-a)和总悬浮沉积物(TSS)浓度。该研究还通过现场测量支持的高分辨率IKONOS多光谱数据检查了这些参数的检索。通过使用多元回归技术,进行了涉及辐射校正的图像处理程序,以便从数字(DN)转换为光谱辐射度,从而将水质参数与卫星数据相关联。检索和验证的结果表明,水质参数的测量值和估计值吻合良好(R〜2> 0.97)。通过使用属于水质参数的多元回归算法来开发空间分布图。这些地图显示了所选参数的明显空间变化,并告知决策者伊斯坦布尔大城市水域中水质的变化。

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