...
首页> 外文期刊>Applied Optics >Effect of bio-optical parameter variability on the remote estimation of chlorophyll-a concentration in turbid productive waters: experimental results
【24h】

Effect of bio-optical parameter variability on the remote estimation of chlorophyll-a concentration in turbid productive waters: experimental results

机译:生物光学参数变异性对浊度生产水中叶绿素a浓度远程估算的影响:实验结果

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

The analytical development and underlying hypothesis of a three-band algorithm for estimating chlorophyll-a concentration ([Chla]) in turbid productive waters are presented. The sensitivity of the algorithm to the spectral location of the bands used is analyzed. A large set of experimental observations ([Chla] varied between 4 and 217 mg m(-3) and turbidity between 2 and 78 nephelometric turbidity units) was used to calibrate and validate the algorithm. It was found that the variability of the chlorophyll-a fluorescence quantum yield and of the chlorophyll-a specific absorption coefficient can reduce considerably the accuracy of remote predictions of [Chla] Instead of parameterizing these interferences, their effects were minimized by tuning the spectral regions used in the algorithm. This allowed us to predict [Chla] with a relative root-mean-square error of less than 30%. (C) 2005 Optical Society of America.
机译:提出了用于估算混浊生产水中叶绿素a浓度(Chla)的三波段算法的分析进展和基本假设。分析了算法对所用频段频谱位置的敏感性。大量的实验观察结果(Chla在4到217 mg m(-3)之间变化,浊度在2到78浊度浊度单位之间)被用于校准和验证算法。发现叶绿素a荧光量子产率和叶绿素a比吸收系数的可变性会大大降低[Chla]远程预测的准确性,而不是对这些干扰进行参数化,而是通过调整光谱区域将其影响最小化在算法中使用。这使我们可以预测[Chla]的相对均方根误差小于30%。 (C)2005年美国眼镜学会。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号