| 引用本文: | 沈明,段洪涛,曹志刚,薛坤,马荣华.适用于多种卫星数据的太湖水体漫衰减系数估算算法.湖泊科学,2017,29(6):1473-1484. DOI:10.18307/2017.0619 |
| SHEN Ming,DUAN Hongtao,CAO Zhigang,XUE Kun,MA Ronghua.Remote sensing estimation algorithm of diffuse attenuation coefficient applicable to different satellite data in Lake Taihu, China. J. Lake Sci.2017,29(6):1473-1484. DOI:10.18307/2017.0619 |
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| 摘要: |
| 下行漫衰减系数（Kd）是描述水下光场的重要参数，决定水体真光层深度，影响着浮游藻类初级生产力及其分布特征.基于2008-2013年太湖4次大规模野外试验数据，分析太湖水体漫衰减系数特征及其影响因素，建立适用于多种卫星数据且较高精度的太湖水体490 nm处下行漫衰减系数估算模型.结果表明：无机悬浮物是太湖水体漫衰减系数的主要影响因素；红绿波段比值（674 nm/555 nm）最适合于太湖Kd（490）估算，模型反演精度较高（N=72，R2=0.72，RMSE=0.89 m-1，MAPE=21.58%）；利用实测光谱数据，模拟得到MODIS/EOS、OLCI/Sentinel-3、GOCI/COMS和MSI/Sentinel-2等主要传感器波段的信号，构建适用于多种卫星传感器Kd（490）估算的红绿波段模型，建模精度较高（N=72，R2>0.7，RMSE<0.9 m-1，MAPE<22.0%），且进行了验证（N=37，R2>0.7，RMSE<0.9 m-1，MAPE<22.0%）. |
| 关键词: 太湖 漫衰减系数 遥感反射率 |
| DOI：10.18307/2017.0619 |
| 分类号: |
| 基金项目:江苏省杰出青年基金项目（BK20160049）、国家自然科学基金项目（41671358，41431176）和中国科学院青年创新促进会项目（2012238）联合资助. |
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| Remote sensing estimation algorithm of diffuse attenuation coefficient applicable to different satellite data in Lake Taihu, China |
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SHEN Ming1,2, DUAN Hongtao1, CAO Zhigang1,2, XUE Kun1, MA Ronghua1
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1.Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, P. R. China;2.University of Chinese Academy of Sciences, Beijing 100049, P. R. China
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| Abstract: |
| The downwelling diffuse attenuation coefficient (Kd) plays a critical role in underwater light field. It determines the euphotic depth, and affects the distribution characteristics of phytoplankton and primary productivity. Based on in situ data collected from 4 cruise surveys in Lake Taihu during 2008-2013, both the variations and driving factors of Kd were analyzed, and an algorithm to estimate downwelling diffuse attenuation coefficient at 490 nm for a variety of satellites' data was developed and validated. The results show that:(1) suspended particular inorganic matter is the decisive factor of Kd in Lake Taihu;(2) the algorithm of red-green band ratio is the most suitable for estimating Kd(490) in Lake Taihu (N=72, R2=0.72, RMSE=0.89 m-1, MAPE=21.58%);(3) with the simulated remote sensing reflectance of the main sensor bands such as MODIS/EOS, OLCI/Sentinel-3, GOCI/COMS and MSI/Sentinel-2, the red-green ratio algorithm to estimate Kd(490) was established for a variety of remote sensing sensors(N=72,R2>0.7,RMSE<0.9 m-1,MAPE<22.0%), and the validation was good as well(N=37,R2>0.7,RMSE<0.9 m-1,MAPE<22.0%). |
| Key words: Lake Taihu diffuse attenuation coefficient remote sensing reflectance |
