Remotely Sensed Estimation Model of Ocean Water Transparency in Liaodong Gulf
Received date: 2010-03-17
Revised date: 2010-12-01
Online published: 2011-03-10
As one of the important indicators which describe water visibility and optical property,ocean water transparency has good relationship with water quality. Measurement of ocean water transparency from satellite remotely sensed image can compensate for the deficiencies of discrete data, long time and expensive cost of field measurement.Moreover, it can obtain the large-scale distribution of ocean water transparency. So it can be applied to long term observation of ocean water transparency at large scale. Liaodong Gulf was selected as the study area. Ocean water reflectance of MODIS bands were simulated to reduce the disturbance of atmosphere based on in situ filed measurement spectrum. According to the spectral simulation, characteristic bands of MODIS were indentified for water transparency estimation model. The correlationship was respectively ananlyzed in Liaodong Gulf. Then the estimation model of water transparency using MODIS of the area was developed and the model test was also performed. The result shows that in Liaodong Gulf, the band of 667 nm of MODIS has the best correlation with ocean water transparency.Moreover, the estimation model based on single band performs better than band combine approach such as band ratio. Without the incorporation of the classical bands of blue and green bands for oceancolor remote sensing, the estimation model of two-order polynomial of single band 667 nm has the correlation coefficient r of 0.973(p<0.01) and the relative mean error of model test is 13％. It shows the stability and good forecast performance of the model. As the model was developed based on the dataset of area of the experiment, it has distinct local character. It needs further study to test whether it can be applied to other areas.
Key words： Liaodong Gulf; Water transparency; MODIS; Remote sensing
Cong Pifu, Qu Limei, Han Gengchen，Yang Xinmei, Wang Chenli . Remotely Sensed Estimation Model of Ocean Water Transparency in Liaodong Gulf[J]. Advances in Earth Science, 2011 , 26(3) : 295 -299 . DOI: 10.11867/j.issn.1001-8166.2011.03.0295
[1] Xia Guanghui,Yu Yide,Xiong Ying. Study on a new method of measurement of seawater transparency[J].Marine Environmental Science, 2009,28(3):316-328.[夏光辉,余义德,熊英.一种海水透明度测量新方法的研究与实现[J].海洋环境科学,2009,28(3):316-328.]
[2] Li Yinghong,Wang Fan,Ren Xiaobo. Developmeng trend and strategy of ocean observing capability[J]. Advances in Earth Science, 2010, 25(7):715-722.[李颖虹,王凡,任小波. 海洋观测能力建设的现状、趋势与对策思考[J].地球科学进展, 2010, 25(7):715-722.]
[3] Tang Shilin,Chen Chuqun,Zhan Haigang,et al.Retrieval of euphotic layer depth of South China Sea by remote sensing[J]. Journal of Tropical Oceanography, 2007,26(1):9-15.[唐世林,陈楚群,詹海刚,等.南海真光层深度的遥感反演[J].热带海洋学报,2007,26(1):9-15.]
[4] Koponen S, Pulliainen J, Kallio K, et al. Lake water quality classification with airborne hyperspectral spectrometer and simulated MERIS data[J].Remote Sensing of Environment, 2002,79: 51-59.
[5] Wang Xiaomei,Tang Junwu,Ding Jing,et al. The retrieval algorithms of diffuse attenuation and transparency for the CaseⅡwaters of the Huanghai Sea and the East China Sea[J].Acta Oceanologica Sinica, 2005,27(5): 38-45.[王晓梅,唐军武,丁静,等.黄海、东海二类水体漫衰减系数与透明度反演模式研究[J]. 海洋学报,2005,27(5): 38-45.]
[6] Wang Deyu,Feng Xuezhi. Analysis of temporal and spatial changes of water clority based in TM image in the estuany of Qiantang river[J].Journal of Jiangxi Normal University(Natural Sciences Edition),2005,29(2):185-189.[王得玉,冯学智．基于TM影像的钱塘江人海口水体透明度的时空变化分析[J]．江西师范大学学报:自然科学版,2005,29(2)：185-189.]
[7] Hellweger F L, Schlosser P, Lall U, et al. Use of satellite imagery for water quality studies in New York Harbor[J]. Estuarine, Coastal and Shelf Science,2004,61:437-448.
[8]He Xiande,Pan Delu, Mao Zhihua,et al. The study on the inversing model of water transparencyusing the SeaWiFS data[J].Acta Oceanologica Sinica,2004,26(5):55-62.[何贤德，潘德炉，毛志华, 等.利用SeaWiFS反演海水透明度的模式研究[J].海洋学报,2004,26(5):55-62.]
[9]Moore T S, Campbell J W, Dowell M D.A classbased approach to characterizing and mapping the uncertainty of the MODIS ocean chlorophyll product[J]. Remote Sensing of Environment,2009, 113(11):2 424-2 430.
[10] Xing Qianguo.Retrieval of Water Quality in the Pearl River Estuary Using Hyperspetral Technique[D]. Guangzhuo:South China Sea Institute of Oceanology, Chinese Academy of Sciences,2007.[邢前国.珠江口水质高光谱反演[D].广州：中国科学院南海海洋研究所,2007.]
[11] Ma Yi.Red Tide Airborne Hyperspectral Remote Sensing Detecting Technology[D]. Qingdao:Institute of Oceanology, Chinese Academy of Sciences,2003.[马毅.赤潮航空高光谱遥感探测技术研究[D].青岛：中国科学院海洋研究所,2003.]
[12] Cong Pifu, Niu Zhen, Qu Limei, et al. Retrieval of chlorophyll a concentration from ocean satellite HY-1[J]. High Technology Letters, 2005,15(11):106-110.[丛丕福,牛铮,曲丽梅,等. 利用海洋卫星HY-1数据反演叶绿素a的浓度[J].高技术通讯，2005,15(11):106-110].
[13] Li Sihai translated. The Mechanism and Application of Ocean Color Remote Sensing: Report of International Ocean Colour Coordinating Group（IOCCG）[M]. Beijing: Ocean Press,2002.[李四海,译.海洋水色遥感原理与应用:国际海洋水色协调工作组（IOCCG）报告[M].北京: 海洋出版社,2002].
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