基于OLI遥感影像的叶绿素a质量浓度反演研究

发布时间：2018-03-01 19:31

本文关键词： OLI影像叶绿素a 反演富营养化　出处：《灌溉排水学报》2017年03期 　论文类型：期刊论文

【摘要】：为探究研究区叶绿素a质量浓度分布,更好的应对水体富营养化对东张水库水源安全的威胁。采用数学回归模型,利用OLI遥感影像,根据长期定点监测的叶绿素质量浓度数据与遥感影像光谱信息特征值的内在联系,构建叶绿素a质量浓度反演数学模型,应用GIS得出东张水库连续空间、离散时间上叶绿素a质量浓度的分布。结果表明,东张水库叶绿素质量浓度7月份明显高于11月份与3月份;东张水库沿库岸及进口位置叶绿素a质量浓度明显高于库心位置质量浓度;环东张水库截污工程前后相同月份叶绿素质量浓度有着明显的改善。遥感数据在空间、时间维度分布有差异的情况下,反演结果误差较小,精度满足管理决策需要,有着较好的适用性。
[Abstract]:In order to explore the distribution of chlorophyll a concentration in the study area and better deal with the threat of eutrophication to the water source safety of Dongchang Reservoir, a mathematical regression model was adopted and OLI remote sensing images were used. According to the intrinsic relation between chlorophyll mass concentration data and spectral information characteristic value of remote sensing image, a mathematical model for inversion of chlorophyll a mass concentration is constructed, and the continuous space of Dongchang Reservoir is obtained by GIS. The results showed that the chlorophyll concentration in Dongchang Reservoir on July was significantly higher than that in November and March. The quality concentration of chlorophyll a along the bank and inlet of Dongzhang reservoir is obviously higher than that in the center of reservoir, and the chlorophyll mass concentration in the same month before and after the sewage interception project of Huandong Zhang reservoir has obvious improvement. The remote sensing data are in space. When the distribution of time dimension is different, the error of inversion result is small, and the precision meets the need of management decision, so it has good applicability.
【作者单位】：福州市环境科学研究院水环境研究所;
【分类号】：X87;X52

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