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Spectral decomposition of remote sensing reflectance variance due to the spatial variability from ocean color and high-resolution satellite sensors
Journal of Applied Remote Sensing ( IF 1.4 ) Pub Date : 2021-06-01 , DOI: 10.1117/1.jrs.15.024522
Eder Herrera Estrella 1 , Alexander Gilerson 1 , Robert Foster 2 , Philipp Groetsch 1
Affiliation  

The variability of the remote sensing reflectance, Rrs, now routinely retrieved from ocean color (OC) and high spatial resolution sensors, is often used to characterize water variability due to changes in inherent optical properties of the water body. At the same time, Rrs is partially variable because of uncertainties in its retrieval in the process of atmospheric correction. Using data from SNPP-VIIRS and Landsat-8 OLI sensors, the contribution of the main components to the variance of Rrs due to its spatial variability is determined based on a model in which variances were considered proportional to the mean values of the corresponding components. It is shown that there is practically no spatial variability in the open ocean waters and water variability is proportional to the spatial resolution of the sensor in coastal waters. Variances due to surface effects, inaccuracies of aerosol models, and sunglint can contribute significantly to Rrs variance, which characterizes Rrs spatial variability, with variances due to the water variability itself often being significantly smaller.

中文翻译:

由于海洋颜色和高分辨率卫星传感器的空间变化引起的遥感反射变化的光谱分解

遥感反射率 Rrs 的变异性现在通常从海洋颜色 (OC) 和高空间分辨率传感器中获取,通常用于表征由于水体固有光学特性变化而导致的水变异性。同时,由于大气改正过程中Rrs反演的不确定性,Rrs是部分可变的。使用来自 SNPP-VIIRS 和 Landsat-8 OLI 传感器的数据,主要成分由于其空间变异性对 Rrs 方差的贡献是基于一个模型确定的,在该模型中方差被认为与相应成分的平均值成正比。结果表明,在开阔的海水中几乎没有空间变异性,并且水的变异性与沿海水域中传感器的空间分辨率成正比。
更新日期:2021-06-25
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