Estimation of the spectral diffuse attenuation coefficient of downwelling irradiance in inland and coastal waters from hyperspectral remote sensing data: Validation with experimental data
Estimation of the spectral diffuse attenuation coefficient of downwelling irradiance in inland and coastal waters from hyperspectral remote sensing data: Validation with experimental data
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DOI：
10.1016/j.jag.2016.02.003
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发表时间：
2016-07
期刊：
影响因子：
--
通讯作者：
A. Simon;P. Shanmugam
中科院分区：
文献类型：
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作者：
A. Simon;P. Shanmugam
建立了一个估算内陆和沿海沃茨下行流辐射漫衰减系数（Kd（λ））的半解析模型。该模型作为一个函数的固有光学特性（吸收和后向散射），深度和太阳天顶角。通过对清澈海水、浑浊海水和生产性泻湖沃茨中Kd（λ）的大量现场测量，验证了该模型的结果。为了进一步评估其相对性能，将从该模型获得的Kd（λ）值与三个现有模型的结果进行比较。验证结果表明，该模型是一个更好的Kd（λ）的描述符，与现有的模型相比，表现出更好的整体性能.本模型的适用性进一步测试上的两个高光谱成像仪的沿海海洋（OSPO）遥感图像同时获得与我们的实地测量。结果表明，由遥感图像得到的Kd（λ）谱与实测数据吻合较好，平均相对误差小于12%，完全符合海洋沃茨遥感产品验证不确定度±35%的基准。该模型提供了潜在的优势，在内陆和沿海环境内的各种各样的沃茨的光谱和verticalKd值的变化进行预测。
A semi-analytical model is developed for estimating the spectral diffuse attenuation coefficient of downwelling irradiance (Kd(λ)) in inland and coastal waters. The model works as a function of the inherent optical properties (absorption and backscattering), depth, and solar zenith angle. Results of this model are validated using a large number ofin-situmeasurements ofKd(λ) in clear oceanic, turbid coastal and productive lagoon waters. To further evaluate its relative performance,Kd(λ) values obtained from this model are compared with results from three existing models. Validation results show that the present model is a better descriptor ofKd(λ) and shows an overall better performance compared to the existing models. The applicability of the present model is further tested on two Hyperspectral Imager for the Coastal Ocean (HICO) remote sensing images acquired simultaneously with our field measurements. TheKd(λ) spectra derived from HICO imageries have good agreement with measured data with the mean relative percent error of less than 12% which are well within the benchmark for a validated uncertainty of ±35% endorsed for the remote sensing products in oceanic waters. The model offers potential advantages for predicting changes in spectral and verticalKdvalues in a wide variety of waters within inland and coastal environments.