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首页> 外文期刊>IEEE Geoscience and Remote Sensing Letters >HICO-Based NIR–Red Models for Estimating Chlorophyll- Concentration in Productive Coastal Waters
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HICO-Based NIR–Red Models for Estimating Chlorophyll- Concentration in Productive Coastal Waters

机译：基于HICO的NIR-Red模型估算生产性沿海水域中的叶绿素浓度

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摘要

We present here results that demonstrate the potential of near-infrared (NIR)-red models to estimate chlorophyll- a (chl- a) concentration in coastal waters using data from the spaceborne Hyperspectral Imager for the Coastal Ocean (HICO). Since the recent demise of the MEdium Resolution Imaging Spectrometer (MERIS), the use of sensors such as HICO has become critical for coastal ocean color research. Algorithms based on two- and three-band NIR-red models, which were previously used very successfully with MERIS data, were applied to HICO images. The two- and three-band NIR-red algorithms yielded accurate estimates of chl- a concentration, with mean absolute errors that were only 10.92% and 9.58%, respectively, of the total range of chl- a concentrations measured over a period of several months in 2012 and 2013 on the Taganrog Bay in Russia. Given the uncertainties in the radiometric calibration of HICO, the results illustrate the robustness of the NIR-red algorithms and validate the radiometric, spectral, and atmospheric corrections applied to HICO data as they relate to estimating chl- a concentration in productive coastal waters. Inherent limitations due to the characteristics of the sensor and its orbit prohibit HICO from providing anywhere near the level of frequent global coverage as provided by standard multispectral ocean color sensors. Nevertheless, the results demonstrate the utility of HICO as a tool for determining water quality in select coastal areas and the cross-sensor applicability of NIR-red models and provide an indication of what could be achieved with future spaceborne hyperspectral sensors in estimating coastal water quality.
机译：我们在这里提供的结果证明了近红外（NIR）-红色模型使用来自沿海海洋（HICO）的星载高光谱成像仪的数据估算沿海水域中叶绿素-a（chl-a）浓度的潜力。自从最近的中等分辨率成像光谱仪（MERIS）消亡以来，使用HICO等传感器已成为沿海海洋颜色研究的关键。基于两波段和三波段NIR-red模型的算法（以前非常成功地与MERIS数据一起使用）已应用于HICO图像。两波段和三波段NIR-red算法可精确估算出chl-a浓度，平均绝对误差分别仅为在数个时期内测得的chl-a浓度总范围的10.92％和9.58％。 2012年和2013年在俄罗斯塔甘罗格湾（Taganrog Bay）上度过了几个月。考虑到HICO辐射定标的不确定性，结果说明了NIR-red算法的鲁棒性，并验证了应用于HICO数据的辐射，光谱和大气校正，因为它们与估计生产性沿海水域中的chl-浓度有关。由于传感器及其轨道的特性而产生的固有局限性使HICO无法像标准多光谱海洋颜色传感器所提供的那样提供接近全球频繁覆盖水平的任何位置。然而，结果证明了HICO作为确定特定沿海地区水质的工具的实用性以及NIR-red模型的交叉传感器适用性，并提供了未来星载高光谱传感器在估算沿海水质方面可以实现的目标的指示。 。

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