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New approach to atmospheric correction of satellite ocean color data

机译:大气校正卫星海洋颜色数据的新方法

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摘要

Requirements on accuracy of the atmospheric correction of satellite ocean color data are rather high, and so far attempts to solve this problem as needed have not been quite successful, especially at high latitudes and in coastal waters. New approach to the atmospheric correction problem consists in simultaneous retrieval of the unknown aerosol and ocean reflectances ρ_a(λ_i) and ρ_w(λ_i) from the top-of-the-atmosphere reflectance ρ_t(λ_i) with use of all spectral channels of a satellite sensor in infrared and visible ranges. The approach is based on parameterization of the spectral behavior of ρ_a(λ_i) and ρ_w(λ_i) with help of several basic functions. In this way the problem reduces to determination of several weight coefficients at these basic functions. This allows us to cut drastically the size and number of required lookup tables. The inversion problem is solved by a least square method with inequality constraints. It is shown that the new algorithm results in better agreement with in situ measured ρ_w(λ_i), compared with the standard SeaWiFS algorithm, in Case 2 waters.
机译:对卫星海洋颜色数据进行大气校正的精度要求很高,到目前为止,根据需要解决这一问题的尝试并未取得成功,特别是在高纬度地区和沿海水域。解决大气校正问题的新方法包括利用卫星的所有光谱通道同时从大气最高反射率ρ_t(λ_i)检索未知的气溶胶和海洋反射率ρ_a(λ_i)和ρ_w(λ_i)红外和可见光范围内的传感器。该方法基于参数化ρ_a(λ_i)和ρ_w(λ_i)的光谱行为,并具有几个基本功能。这样,问题就减少到在这些基本功能上确定几个权重系数。这使我们可以大大减少所需查找表的大小和数量。通过具有不等式约束的最小二乘法来解决反演问题。结果表明,与标准SeaWiFS算法相比,在案例2中,新算法与现场测量的ρ_w(λ_i)更好地吻合。

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