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作 者:曹诚 郝建明 吴朝辉 彭宇 朱亮 CAO Cheng;HAO Jianming;WU Chaohui;PENG Yu;ZHU Liang(Hunan Second Sureying and Mfapping Institute,Changsha 410119,China;Chongging Wansheng Eeonomie Development Zone Land and Housing Administration Bureau,Chongging 400800,China;China Railuay Second institute(Chengdu)Consulting Superision Go.Lid,Chengdu 610036,China)
机构地区:[1]湖南省第二测绘院,湖南长沙410119 [2]重庆市万盛经开区国土房管局,重庆400800 [3]中铁二院(成都)咨询监理有限责任公司,四川成都610036
出 处:《测绘科学技术学报》2024年第4期381-385,共5页Journal of Geomatics Science and Technology
基 金:湖南省自然资源厅2019年自然资源调查监测项目(HNZRZYDCJC-2019-03)。
摘 要:通过对含叶绿素a水体反射光谱特征分析,融合国产高分卫星和近地高光谱数据开展内陆水体水质遥感监测工作,形成了叶绿素a浓度遥感反演技术方法。利用GF-1遥感数据特征波段,与实测近地高光谱数据进行相关性分析,构建叶绿素a浓度联合反演估计模型,其相关性系数达到0.794。将实测值与预测值进行线性拟合,其拟合优度达到0.7805,两者间均方根误差为2.11,平均相对误差为20.56%,基本满足水库叶绿素a含量遥感反演需求。选取湖南省典型水库,通过标准化分级,监测水库叶绿素a浓度空间分布情况,为后期快速掌握内陆水体污染控制、风险评估等提供技术支撑。Through the analysis of the characteristics of the reflection spectrum of the water containing Chlorophyll-a and the remote sensing monitoring of inland water quality by integrating the domestic high-resolution satellite and the near earth hyperspectral data,a remote sensing inversion method of Chlorophyll-a concentration is formed.Based on the correlation analysis between the characteristic band of GF-1 remote sensing data and the measured near earth hyperspectral data,a joint inversion estimation model of Chlorophyll-a concentration is constructed,and the correlation coefficient is 0.794.The linear fitting between the measured and predicted data shows that the goodness of fit is 0.7805,the root mean square error is 2.11 and the average relative error is 20.56%,which basically meets the needs of remote sensing inversion of Chlorophyll-a concentration in the reservoir.Typical reservoirs in Hunan Province are selected to monitor the spatial distribution of Chlorophyll-a concentration through standardized classification,so as to provide technical support for quickly mastering inland water pollution control and risk assessment in the later period.
关 键 词:叶绿素A 水质遥感监测 高分一号 近地高光谱 遥感反演
分 类 号:P237[天文地球—摄影测量与遥感]
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