大连长兴岛海域疏浚区GF-1 WFV影像悬浮物遥感反演研究
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摘要
利用2017年8-9月期间大连长兴岛海域实测遥感反射率、悬浮物浓度及GF-1 WFV数据,研究了该区域悬浮物浓度的遥感反演算法,发现遥感反射率与悬浮物浓度的散点图存在两种不同的变化趋势,将2008-2015年期间辽东湾内其它海域的数据与长兴岛海域数据进行叠加后,可初步推断产生两种变化趋势的主要原因在于疏浚区与非疏浚区悬浮物的粒径大小不同,导致其光学特性和反演算法也存在差异。将两种算法分别应用于2017年9月20日辽东湾及长兴岛近岸海域的GF-1 WFV4影像,发现采用非疏浚区算法反演长兴岛海域悬浮物浓度时,出现明显的低估现象,而疏浚区算法则能较好地反映出疏浚施工过程中悬浮物的分布规律,具有较好的工程应用价值。
Based on the in-situ measured remote sensing reflectance(Rrs), the suspended matter concentration(SM) and GF-1 WFV imagery in Dalian Changxing Island sea during August to September in 2017, this paper studies the remote sensing retrieval model of suspended matters. The results indicate that there are two different trends in scatter plots of Rrsand SM. After superimposing the data of other sea areas in the Liaodong Bay during the period of 2008-2015 and the data of Changxing Island, it can be preliminarily concluded that the main reasons for the two trends are particle size difference in dredged and non-dredged areas, resulting in differences in optical properties and inversion algorithms. The two algorithms are applied to the GF-1 WFV4 image of the Liaodong Bay and Changxing Island coastal sea on September 20, 2017, respectively. The inversion results show that there is a significant underestimation in the Changxing Island coastal sea by the non-dredged area algorithm.However, the dredged area algorithm can better reflect the distribution of suspended matter during dredging construction, and has good practical engineering value.
Based on the in-situ measured remote sensing reflectance(Rrs), the suspended matter concentration(SM) and GF-1 WFV imagery in Dalian Changxing Island sea during August to September in 2017, this paper studies the remote sensing retrieval model of suspended matters. The results indicate that there are two different trends in scatter plots of Rrsand SM. After superimposing the data of other sea areas in the Liaodong Bay during the period of 2008-2015 and the data of Changxing Island, it can be preliminarily concluded that the main reasons for the two trends are particle size difference in dredged and non-dredged areas, resulting in differences in optical properties and inversion algorithms. The two algorithms are applied to the GF-1 WFV4 image of the Liaodong Bay and Changxing Island coastal sea on September 20, 2017, respectively. The inversion results show that there is a significant underestimation in the Changxing Island coastal sea by the non-dredged area algorithm.However, the dredged area algorithm can better reflect the distribution of suspended matter during dredging construction, and has good practical engineering value.
引文
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[14]潘洁,张鹰,谭子辉.基于高光谱的射阳河口悬浮泥沙浓度定量反演研究[J].海洋科学,2011,35(9):85-90.PAN Jie,ZHANG Ying,TAN Zi-hui.Modeling the suspended sediment content in Sheyang Estuary based on hyperspectral data.[J].Marine Sciences,2011,35(9):85-90.
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[16]刘王兵,于之锋,周斌,等.杭州湾HJ CCD影像悬浮泥沙遥感定量反演[J].遥感学报,2013,17(4):905-918.LIU Wangbing,YU Zhifeng,ZHOU Bin,et al.Assessment of suspended sediment concentration at the Hangzhou Bay using HJ CCDimagery[J].Journal of Remote Sensing,17(4):905-918.
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[18]刘大召,张辰光,付东洋,等.基于高光谱数据的珠江口表层水体悬浮泥沙遥感反演模式[J].海洋科学,2010,34(7):77-80.LIU Da-zhao,ZHANG Chen-guang,FU Dong-yang,et al.Hyperspectral data-based remote-sensing inversion model for suspended sediment in surface waters at the Pearl River Estuary[J].Marine Sciences,2010,34(7):77-80.
[19]崔廷伟,张杰,马毅,等.渤海悬浮物分布的遥感研究[J].海洋学报,2009,31(5):10-18.CUI Ting-wei,ZHANG Jie,MA Yi,et al.The study on the distribution of suspended particulate matter in the Bohai Sea by remote sensing[J].Acta Oceanologica Sinica,2009,31(5):10-18.
[20]国家海洋局.GB/T 12763.5-2007.海洋调查规范第5部分:海洋声、光要素调查[S].北京:中国标准出版社,2007.State Oceanic Administration.GB/T 12763.5-2007.Specifications for oceanographic survey-Part 5:Survey of acoustical and optical parameters in the sea[S].Beijing:Standards Press of China,2007.
[21]国家海洋局.GB 17378.4-2007.海洋监测规范第4部分:海水分析[S].北京:中国标准出版社,2007.State Oceanic Administration.GB 17378.4-2007.The specification for marine monitoring-Part 4:Seawater analysis[S].Beijing:Standards Press of China,2007.
[22]Deyong Sun,Zhongfeng Qiu,Chuanmin Hu,et al.A hybrid method to estimate suspended particle sizes from satellite measurements over Bohai Sea and Yellow Sea[J].Journal of Geophysical Research:Oceans,2016,121:6742-6761.
[2]马志强,王昆,宋伦,等.海洋工程引发的悬浮物扩散预测模型优化[J].海洋技术学报,2018,37(2):95-100.MA Zhi-qiang,WANG kun,SONG Lun,et al.Optimization of the Prediction Model of Suspended Matter Diffusion Caused by Marine Engineering[J].Journal of Ocean Technology,2018,37(2):95-100.
[3]周华民,李瑞杰,苗振清,等.疏浚抛泥工程引起的悬沙增量变化分析[J].泥沙研究,2012(2):68-72.ZHOU Hua-min,LI Rui-jie,MIAO Zhen-qing,et al.Analysis of suspended sediment concentration increment induced by dredging and dumping[J].Journal of Sediment Research,2012(2):68-72.
[4]程乾,刘波,李婷,等.基于高分1号杭州湾河口悬浮泥沙浓度遥感反演模型构建及应用[J].海洋环境科学,2015,34(4):558-563.CHENG Qian,LIU Bo,LI Ting,et al.Research on remote sensing retrieval of suspended sediment concentration in Hangzhou Bay by GF-1 satellite[J].Marine Environmental Science,2015,34(4):558-563.
[5]马万栋,殷守敬,吴传庆,等.基于GF-WFV的厦门海域水体悬浮物浓度反演[J].应用海洋学学报,2016,35(4):559-566.MA Wan-dong,YIN Shou-jing,WU Chuan-qing,et al.Retrieval of total suspended matter in Xiamen Bay based on GF-WFV Data[J].Journal of Applied Oceanography,2016,35(4):559-566.
[6]许鹏,杜萍,申茜,等.基于GF-1 WFV影像的浑河悬浮物浓度和浊度遥感反演研究[J].沈阳师范大学学报:自然科学版,2017,35(2):180-184.XU Peng.DU Ping,SHEN Qian,et al.Research on remote sensing inversion mode of suspended mater density and turbidity based on GF-1 WFV image data in Hunhe River[J].Journal of Shenyang Normal University(NationalScience Edition),2017,35(2):180-184.
[7]程春梅,李渊,丁奕,等.基于GF-1 WFV的钱塘江叶绿素a和总悬浮物浓度遥感估算[J].长江科学院院报,2017,34:1-8.CHENG Chun-mei,LI Yuan,DING Li,et al.Remote sensing estimation of chlorophyll-a and total suspended matter concentration in Qiantang River based on GF-1 WFV data[J].Journal of Yangtze River Scientific Research Institute,2017,34:1-8.
[8]章敏超,郭碧云.基于GF-1号的舟山近岸悬浮泥沙浓度反演研究[J].海洋开发与管理,2018,1:126-131.ZHANG Min-chao,GUO Bi-yun.Retrieval of suspended sediment concentrationin zhoushan coastal area satellite based on GF-1[J].Ocean Development and Management,2018,1:126-131.
[9]Lin Wang,Dongzhi Zhao,Jianhong Yang,et al.Retrieval of total suspended matter from MODIS 250 m imagery in the Bohai Sea of China[J].J Oceanogr,2012,68:719-725.
[10]Minwei Zhang,Junwu Tang,Qing Dong,et al.Retrieval of total suspended matter concentration in the Yellow and East China Seas from MODIS imagery[J].Remote Sensing of Environment,2010,114:392-403.
[11]张明,冯小香,郝媛媛.辽东湾北部海域悬浮泥沙时空变化遥感定量研究[J].泥沙研究,2011,4:15-21.ZHANG Ming,FENG Xiao-xiang,HAO Yuan-yuan.Quantitative remote sensing study on spatio-temporal variation of suspended sediment in North Liaodong Bay[J].Journal of Sediment Research,2011,4:15-21.
[12]奥勇,王晓峰,孔金玲.曹妃甸近海表层悬浮泥沙遥感定量监测研究[J].测绘科学,2011,36(1):77-80.AO Yong,WANG Xiao-feng,KONG Jin-ling.Study on remote sensing quantitative model of suspended sediments in the coastal waters of Caofeidian[J].Science of Surveying and Mapping,2011,36(1):77-80.
[13]黄海军,李成治,郭建军.黄河口海域悬沙光谱特征的研究[J].海洋科学,1994,18(5):40-44.HUANG Hai-jun,LI Cheng-zhi,GUO Jian-jun.A study on the spectral feature of suspended mater in the Huanghe River delta area[J].Marine Sciences,1994,18(5):40-44.
[14]潘洁,张鹰,谭子辉.基于高光谱的射阳河口悬浮泥沙浓度定量反演研究[J].海洋科学,2011,35(9):85-90.PAN Jie,ZHANG Ying,TAN Zi-hui.Modeling the suspended sediment content in Sheyang Estuary based on hyperspectral data.[J].Marine Sciences,2011,35(9):85-90.
[15]王林,杨建洪,李冠男,等.江苏近岸海域HJ CCD影像悬浮泥沙遥感反演[J].海洋科学,2016,40(2):77-83.WANG Lin,YANG Jian-hong,LI Guan-nan,et al.Retrieval of suspended sediment concentration from HJ-CCD imagery in Jiagsu coastal sea[J].Marine Sciences,2016,40(2):77-83.
[16]刘王兵,于之锋,周斌,等.杭州湾HJ CCD影像悬浮泥沙遥感定量反演[J].遥感学报,2013,17(4):905-918.LIU Wangbing,YU Zhifeng,ZHOU Bin,et al.Assessment of suspended sediment concentration at the Hangzhou Bay using HJ CCDimagery[J].Journal of Remote Sensing,17(4):905-918.
[17]Meng Q,Mao Z,Huang H,et al.Inversion of suspended sediment concentration at the Hangzhou Bay based on the high-resolution satellite HJ-1A/B imagery[C]//Proceedings of SPIE-The International Society for Optical Engineering,2013,8869(5).
[18]刘大召,张辰光,付东洋,等.基于高光谱数据的珠江口表层水体悬浮泥沙遥感反演模式[J].海洋科学,2010,34(7):77-80.LIU Da-zhao,ZHANG Chen-guang,FU Dong-yang,et al.Hyperspectral data-based remote-sensing inversion model for suspended sediment in surface waters at the Pearl River Estuary[J].Marine Sciences,2010,34(7):77-80.
[19]崔廷伟,张杰,马毅,等.渤海悬浮物分布的遥感研究[J].海洋学报,2009,31(5):10-18.CUI Ting-wei,ZHANG Jie,MA Yi,et al.The study on the distribution of suspended particulate matter in the Bohai Sea by remote sensing[J].Acta Oceanologica Sinica,2009,31(5):10-18.
[20]国家海洋局.GB/T 12763.5-2007.海洋调查规范第5部分:海洋声、光要素调查[S].北京:中国标准出版社,2007.State Oceanic Administration.GB/T 12763.5-2007.Specifications for oceanographic survey-Part 5:Survey of acoustical and optical parameters in the sea[S].Beijing:Standards Press of China,2007.
[21]国家海洋局.GB 17378.4-2007.海洋监测规范第4部分:海水分析[S].北京:中国标准出版社,2007.State Oceanic Administration.GB 17378.4-2007.The specification for marine monitoring-Part 4:Seawater analysis[S].Beijing:Standards Press of China,2007.
[22]Deyong Sun,Zhongfeng Qiu,Chuanmin Hu,et al.A hybrid method to estimate suspended particle sizes from satellite measurements over Bohai Sea and Yellow Sea[J].Journal of Geophysical Research:Oceans,2016,121:6742-6761.