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首页> 外文期刊>Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of >A Simple Atmospheric Correction Algorithm for MODIS in Shallow Turbid Waters: A Case Study in Taihu Lake
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A Simple Atmospheric Correction Algorithm for MODIS in Shallow Turbid Waters: A Case Study in Taihu Lake

机译：浅浊水域MODIS的简单大气校正算法-以太湖为例

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摘要

A simple atmospheric correction algorithm (SACA) based on a “known” empirical spectral relationship at two bands of MODIS sensor has been developed as a modification to improve the MODIS ocean color products in shallow turbid waters. The analysis results for spectral characteristics suggest that 531, 551, 667, and 678 nm are the optimal bands for constructing the empirical spectral relationship of the SACA algorithm. In order to work efficiently with high adjacency effects and water bottom reflectance in shallow inland lakes, the image statistics method is suggested for the SACA algorithm to determine the aerosol scattering contribution. Using the in situ measurements taken in Taihu Lake on October 27 and 28, 2003, MODIS water-leaving reflectance derived from the atmospheric correction were evaluated using the SWIR and SACA methods, indicating that the SACA algorithm produces a superior performance at visible bands but provides a poor result at NIR bands to the SWIR algorithm. To solve this problem, a combined method is suggested: the SACA algorithm is operated at visible bands, while the SWIR algorithm is executed at NIR bands. Results indicate that the MODIS-derived water-leaving reflectance in shallow turbid water within 20% may be obtained using the combined method. These findings imply that the SACA algorithm is an acceptable atmospheric correction method for deriving the water-leaving reflectance from MODIS data in shallow turbid waters.
机译：已开发出一种简单的大气校正算法（SACA），它是基于MODIS传感器两个波段上的“已知”经验光谱关系的改进，以改进浅浊水域中的MODIS海洋色积。光谱特性的分析结果表明，531、551、667和678 nm是构建SACA算法的经验光谱关系的最佳波段。为了在浅水内陆湖泊中以较高的邻接效应和水底反射率高效工作，建议采用图像统计方法对SACA算法确定气溶胶的散射贡献。使用2003年10月27日至28日在太湖进行的原位测量，使用SWIR和SACA方法评估了来自大气校正的MODIS出水反射率，表明SACA算法在可见频带上产生了卓越的性能，但提供了在近红外波段对SWIR算法的效果不佳。为了解决这个问题，提出了一种组合方法：SACA算法在可见频段上运行，而SWIR算法在NIR频段上运行。结果表明，结合使用该方法可以得到20％以内的MODIS衍生的浅浊水中的水反射率。这些发现表明，SACA算法是一种可接受的大气校正方法，可以从浅浊水中的MODIS数据中得出出水反射率。

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