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作 者:徐雯佳[1,2] 杨斌[1] 田力[1] 葛超英[1] 徐永利
机构地区:[1]河北省地矿局水文工程地质勘查院,石家庄050021 [2]河北省地质调查院,石家庄050081
出 处:《国土资源遥感》2012年第4期152-156,共5页Remote Sensing for Land & Resources
基 金:河北省国土资源厅基础类项目"基于国家海洋卫星河北海洋水色水温等环境要素遥感监测"(编号:2011995559)资助
摘 要:为了建立更加合理、准确的叶绿素a遥感反演模型,利用地物光谱仪测定了河北省海域水面的光谱反射率,分析了光谱反射率与实测叶绿素a浓度之间的关系。在此基础上,通过MODIS数据各波段及波段组合的反射率与实测叶绿素a浓度的相关分析,确定第1波段(B1)为最佳反演波段,建立了应用B1反演叶绿素a浓度的遥感模型,并对模型精度进行验证。结果表明:该模型相关系数为0.66,反演结果均方根误差为0.48 mg/m3,模型精度优于SeaDAS的OC3标准经验算法;该模型反演河北省海域表层水体的叶绿素a浓度有较好的效果。In order to build a more reasonable and accurate remote retrieval model than the models used before,the authors measured water spectral reflectance by field spectrometer in sea area of Hebei Province.Based on analyzing the relationship between spectral reflectance and actual measured value of chlorophyll-a concentration,the authors conducted correlation analysis between the reflectance of each band or band combination of MODIS data and measured value of chlorophyll-a concentration.The result shows that the best inversion band is B1.Then the remote sensing monitoring model of chlorophyll-a concentration was built by using B1 of MODIS data.The retrieval results and corresponding actual measured results were compared with each other at last.The results show that the correlation coefficient of this model is 0.66 and the root mean square error of inversion result is 0.48 mg/m3.The precision of this retrieval model is better than OC3 standard empirical algorithm of SeaDAS.Therefore,the model could be employed to retrieve chlorophyll-a concentration of surface water of Hebei sea area effectively by using MODIS data.
分 类 号:TP79[自动化与计算机技术—检测技术与自动化装置]
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