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首页> 外文会议>Remote Sensing of the Marine Environment; Proceedings of SPIE-The International Society for Optical Engineering; vol.6406 >Evaluation of the impact of backscatter spectral characteristics on Chl retrievals in coastal waters
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Evaluation of the impact of backscatter spectral characteristics on Chl retrievals in coastal waters

机译：评估背向散射光谱特性对沿海水域Chl取回的影响

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摘要

With the increasing recognition of the need for using the NIR bands for chlorophyll retrieval in coastal waters it is necessary to account not only for the spectral modulation of the total elastic backscatter by the chlorophyll absorption spectra, as it is normally done, but to also take into account the spectral signature of the backscatter itself, whether from mineral or organic particulates, including algae, and to assess how these factors effect retrieval algorithms. Based on our recent field measurements in coastal waters, we have undertaken a study to examine the spectral behavior of the backscatter to total scattering ratio as a function of suspended solids and chlorophyll loadings. The total scattering spectra is obtained using the WET Labs AC-S instrument which provides hyperspectral measurements of absorption and attenuation, in conjunction with the bb9 instrument which provides direct measurement of backscatter, as well fluorescence measurement of chlorophyll concentration [Chl]. The relevant WET Labs absorption and attenuation data were then used as input into Hydrolight radiative transfer simulations to obtain the backscattering ratio spectral distributions. Preliminary NIR algorithms, which were evolved for high [Chl] coastal waters and which focus on the contribution of spectral changes due to chlorophyll backscattering in the NIR, are presented. It is expected that these algorithms will ultimately prove to be less dependent on regional tuning.
机译：随着人们越来越认识到需要在沿海水域使用NIR波段进行叶绿素的回收，不仅需要像通常那样考虑叶绿素吸收光谱对总弹性背向散射的光谱调制，而且还需要考虑考虑到反向散射本身的光谱特征，无论是来自矿物质还是有机微粒（包括藻类），并评估这些因素如何影响检索算法。根据我们最近在沿海水域的现场测量结果，我们进行了一项研究，以研究反向散射与总散射比随悬浮固体和叶绿素含量变化的光谱行为。使用提供对吸收和衰减的高光谱测量的WET Labs AC-S仪器，与提供对后向散射的直接测量以及对叶绿素浓度的荧光测量[Chl]的bb9仪器，可以获得总散射光谱。然后将相关的WET Labs吸收和衰减数据用作Hydrolight辐射传递模拟的输入，以获得反向散射比谱分布。介绍了针对高[Chl]沿海水域发展而来的NIR初步算法，该算法专注于NIR中叶绿素反向散射引起的光谱变化。预计这些算法最终将证明较少依赖区域调整。

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