首页> 外文会议>International Conference on Geoinformatics >Deducing Salinity from Chlorophyll-a Using EO-1 Hyperion Satellite Imagery: A Case Study in Modaomen and Shawan Waterway, Pearl River Estuary, South China
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Deducing Salinity from Chlorophyll-a Using EO-1 Hyperion Satellite Imagery: A Case Study in Modaomen and Shawan Waterway, Pearl River Estuary, South China

机译:使用EO-1 Hyperion卫星图像从叶绿素-A中致盐度:以南方珠江河口珠江河口的Modaomen和Shawan Waterway的案例研究

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Because of increasing marine intrusion into the Pearl River Estuary (PRE) of South China, the salinity has become one of the important and necessary hydrological and water quality monitoring parameters. In this research, we examined the relationships between the reflectance from EO-1 Hyperion satellite imagery and water surface salinity based on the in-situ spectra analysis model of the river water color component, in an attempt to deduce salinity from Chlorophyll-a (IChl-al in mg/m~3) using remote sensing technique. The study sites were the Modaomen and Shawan waterway in the Pearl River Estuary, Guangdong Province, South China. The studied samples (spectra, salinity and Chlorophyll-a concentration) were from 32 different locations of the waterways on December 18 and 19, in 2006. The studied field covered a large variety of optically different waters, the Chl-a concentrations varied between 4.81 and 92.6 mg/m~3. The linear relationships between in-situ reflectance and Chl-a concentration were analyzed based on the single band, band ratios and their varieties, which were performed in MATLAB6.5 (Math works) using the "statistic analysis module". We found a strong positive linear relationship between in-situ reflectance ratio (R_(704)/R_(513)) and Chl-a concentration (R~2=0.92, P<0.001). Additionally, we also found an indicator of marine intrusion location (at about 0.45%., a drinkable water quality standard) with sharp Chlorophyll-a concentration drop. Therefore, we were able to develop a new method of deducing surface salinity of the river estuary from the calibrated EO-1 Hyperion reflectance data. The EO-1 Hyperion derived surface salinities were validated using pointing observation data that were collected on December 21 2006, and synchronous with EO-1 Hyperion satellite imagery acquisition. The methodology of deducing salinity from Chl-a concentration provides potential to monitor coastal saltwater intrusion and provides the water supply and conservancy authorities with referenced spatial information to understand and manage the estuarine marine intrusion.
机译:因为提高海洋侵入中国南方的珠江口(PRE)的,盐度已经成为重要和必要的水文和水质监测参数之一。在本研究中,我们检查了来自EO-1海波卫星图像和水面盐度基于河水颜色成分的原位光谱分析模型的反射率之间的关系,在从叶绿素a(IChl试图推导盐度利用遥感技术在毫克/米〜3 -Al)。研究地点分别在珠江口,广东省,中国南方和磨刀门水道沙湾。所研究的样品(光谱,盐度和叶绿素a浓度)来自水路32个的不同位置12月18日和19日,于2006年被研究领域涉及大量的各种不同的光学水域中,叶绿素a浓度4.81之间变化和92.6毫克/米〜3。基于单个带内,带比和它们的品种,这是在执行MATLAB6.5(数学式作品)使用“统计分析模块”原位反射率和叶绿素a浓度之间的线性关系进行了分析。我们发现原位反射率(R_(704)/ R_(513))和叶绿素a浓度(R 2 = 0.92,P <0.001)之间有很强的正的线性关系。此外,我们还发现海洋侵入位置的指示器(在约0.45%,可饮用水质标准)具有尖锐叶绿素a浓度下降。因此,我们能够发展推导从校准EO-1海波反射率数据河口的表面盐度的新方法。该EO-1衍生的海波使用收集在2006年12月21日该指示的观察数据表面盐度进行了验证,并用EO-1海波卫星图像采集同步。从叶绿素a浓度推导盐度的方法提供了潜在监测沿海海水入侵,并提供供水和水利部门与参照空间信息来了解和管理海洋河口入侵。

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