| 基于两种半分析算法的水体吸收系数反演 |
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| 引用本文： | 汪文琦,董强,商少凌,吴璟瑜,李忠平.基于两种半分析算法的水体吸收系数反演[J].热带海洋学报,2009,28(5):35-42. |
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| 作者姓名： | 汪文琦 董强 商少凌 吴璟瑜 李忠平 |
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| 作者单位： | 1. 福建省教育部共建海洋环境科学联合重点实验室(厦门大学、福建海洋研究所),福建厦门,361005
2. Northern,Gulf,Institute,Mississippi,State,University,MS,39529 |
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| 基金项目： | 863计划项目，国家自然科学基金项目(40521003)李凌.slshang@xmu.edu.cn:slshang@gmail.com 通讯作者 |
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| 摘 要： | 本文基于42组不同年份不同季节获得的遥感反射率、水体各组分吸收系数的实测数据，对QAA（Quasi-Analytical Algorithm）和GSM（Garver-Siegel-Maritorena）算法在寡营养的南海和富营养的福建沿岸两种不同类型水体的吸收系数反演进行了检验。以水样测量值为参考，两种算法在本研究水体中的反演成效与他人在其它水域的研究结果相当。QAA算法在南海的反演成效高于福建沿岸水体。对于443 nm的总吸收系数（a443 ），南海的对数均方根误差（RMSE ）为0.046，平均相对误差为7.9%，对数平均偏差为0；福建沿岸水体的对数均方根误差（RMSE ）为0.194，平均相对误差为30.6%，对数平均偏差为-0.167 。GSM算法在两类水体的反演成效类似，A443 之RMSE和平均相对误差，南海分别为0.161和27.7%，福建沿岸分别为0.149和32.1%，但从A443的对数平均偏差值看，其在南海反演值低于实测值（对数平均偏差为-0.142 ），在福建沿岸则略呈高于实测值（对数平均偏差为0.016）。两种算法中的部分经验参数与实测值之间的差异是产生反演误差的主要原因，为了提高反演精度，对算法中经验参数的更进一步区域化调整可能是必要的。
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| 关 键 词： | 半分析算法 吸收系数 南海 福建沿岸 |
| 收稿时间： | 2009-1-12 |
| 修稿时间： | 2009-4-7 |
An evaluation of two semi-analytical ocean color algorithms for waters off South China |
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| WANG Wen-qi,DONG Qiang,SHANG Shao-ling,WU Jing-yu,LEE Zhong-ping.An evaluation of two semi-analytical ocean color algorithms for waters off South China[J].Journal of Tropical Oceanography,2009,28(5):35-42. |
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| Authors: | WANG Wen-qi DONG Qiang SHANG Shao-ling WU Jing-yu LEE Zhong-ping |
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| Abstract: | With 42 in situ measurements of remote sensing reflectance and component absorption coefficients taken in the South China Sea and coastal waters off Fujian (China) in different seasons, the performance of the Quasi-Analytical Algorithm (QAA) and the Garver-Siegel-Maritorena (GSM) algorithm for water’s absorption coefficients are evaluated. It is found that the retrieval performance of the two algorithms is similar as those by other researchers performed in different regions. To waters in this study, QAA performed better in the South China Sea than for waters off Fujian coast. For total absorption coefficient at 443 nm (a443), the root-mean-square-error (RMSE) is 0.046 in the South China Sea, with an averaged percentage error of 7.9%, and averaged error in log scale (δ) close to 0. For coastal waters off Fujian, RMSE, an averaged percentage error and δ are 0.194, 30.6%, and -0.167, respectively. The performance of GSM is similar for the two regions of waters. For a443, RMSE and an averaged percentage error are 0.161 and 27.7% in the South China Sea, respectively; and are 0.149 and 32.1% for waters off Fujian coast. Their δ values, however, are negative (-0.142, indicating underestimation) in the South China Sea, and positive (0.016, indicating slight overestimation) in coastal waters off Fujian. Further analysis indicate that the differences between the empirical parameters employed in the algorithms and actual values of the waters under study are the main reasons causing errors in remote sensing retrievals, and it is necessary to regionally refine those parameters in order to improve the algorithm performances.wei |
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| Keywords: | semi-analytical algorithm absorption coefficient South China Sea coastal Fujian |
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