| 基于水上法的四种典型估算遥感反射率方法的应用效果评估 |
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| 引用本文： | 李尉尉,李铜基,朱建华,韩冰,郭凯,贾迪.基于水上法的四种典型估算遥感反射率方法的应用效果评估[J].海洋通报,2020,39(1):127-133. |
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| 作者姓名： | 李尉尉 李铜基 朱建华 韩冰 郭凯 贾迪 |
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| 作者单位： | 国家海洋技术中心,天津 300112;国家海洋技术中心,天津 300112;国家海洋技术中心,天津 300112;国家海洋技术中心,天津 300112;国家海洋技术中心,天津 300112;国家海洋技术中心,天津 300112 |
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| 摘 要： | 本文简要介绍了M99、R06、G01、L10四种典型水上法估算遥感反射率方法的原理,利用现场观测数据,对四种方法的应用效果进行了评估分析。利用高光谱SAS实测的76个站位数据,对比分析了四种方法结果的差异性以及不同太阳天顶角和云况条件的差异分布,结果表明,四种方法估算的遥感反射率总体差异性不大,有80%站位的差异在10%以内,L10方法的结果更接近四种方法的平均值,R06方法的结果与L10大体相当,当太阳天顶角过大时,四种方法估算遥感反射率的差异较大,在阴天条件下,差异性有小幅度增大。利用高光谱SAS和剖面仪MicroPro同步观测的73个站位数据,分析了四种水上法与水中法计算遥感反射率的差异性,以及不同水体和太阳天顶角条件的差异分布,结果显示,四种水上法与水中法计算的遥感反射率结果差异分布趋势大体一致,约75%站位的差异在15%以内,在较好的比对环境下(去掉近岸站位和太阳天顶角较大的站位),四种方法与水中法差异明显减小,其中,R06和L10方法在处理粗糙海面的天空和太阳耀斑修正方面略优。
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| 关 键 词： | 水色 水上法 数据处理 遥感反射率 |
| 收稿时间： | 2019/3/20 0:00:00 |
| 修稿时间： | 2019/6/11 0:00:00 |
Application evaluation of four typical remote sensing reflectance estimation approaches based on water method |
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| LI Wei-wei,LI Tong-ji,ZHU Jian-hu,HAN Bing,GUO Kai and JIA Di.Application evaluation of four typical remote sensing reflectance estimation approaches based on water method[J].Marine Science Bulletin,2020,39(1):127-133. |
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| Authors: | LI Wei-wei LI Tong-ji ZHU Jian-hu HAN Bing GUO Kai and JIA Di |
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| Institution: | National Ocean Technology Center, Tianjin 300112, China,National Ocean Technology Center, Tianjin 300112, China,National Ocean Technology Center, Tianjin 300112, China,National Ocean Technology Center, Tianjin 300112, China,National Ocean Technology Center, Tianjin 300112, China and National Ocean Technology Center, Tianjin 300112, China |
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| Abstract: | This paper briefly summarizes the principle of estimating the remote sensing reflectance by four typical Abovewater methods of M99, R06, G01 and L10, and studies the applications of the four data processing approaches by using insitu data. Using the measured 76 in-situ data of HyperSAS, this paper shows the discrepancies among the four methods and the coefficient of variation (CV) distributions from different solar zenith angles and various weather conditions. The results present that the differences among the estimated remote sensing reflectance (Rrs) from four approaches are small, the CV distributions generated from 80 % of the stations situated within 10 %, the result of the L10 is closer to the average of the four approaches, and the R06 is roughly the same as that of the L10. When the solar zenith angle is too large, the difference of Rrs estimated by the four approaches increases, and the difference slightly increases under cloudy conditions. Furthermore, this
study also compared the Rrs discrepancies estimated by the four above-water methods and in-water method based on the data collected by the HyperSAS and MicroPro, as well as the CV distributions in various water conditions and from different solar zenith angles. In general, the distributions are generally alike between above-water methods and the in-water method, the CV distributions generated from 75 % of the stations situated within 15 %. In particular, the difference decreases when the data from stations nearshore and large solar zenith angles are excluded. R06 and L10, the two above-water methods, show outstanding capacities in dealing with the sky and sun glint on the rough sea surface. |
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| Keywords: | ocean color Above-water methods data processing method remote-sensing reflectance |
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