论文在分析MODIS数据对海洋水体反射光谱特征的基础上,选用合适的探测波段构成悬浮泥沙遥感参数,并根据2003~2004年福建近岸海域海洋监控区内9个站点的海洋水色数据建立悬浮泥沙浓度遥感定量反演模式。利用已建立的模式对2001~2005年福建近岸海域悬浮泥沙浓度进行遥感反演,根据反演结果分析该海域悬浮泥沙浓度的分布及其变化特征,着重分析闽江口海域的悬浮泥沙运动特点。结果表明:福建近岸海域悬浮泥沙浓度与基于MODIS蓝光(0.438~0.448μm)和绿光(0.545~0.565μm)探测波段数据构成的遥感参数呈指数函数关系,定量反演效果比较理想,反演结果能客观地揭示福建近岸海域悬浮泥沙的浓度分布及其变化特征,为今后对该海域悬浮泥沙运动规律的深化研究奠定了基础。
On the basis of analysis of MODIS data reflected spectrum characteristics on ocean, the remote sensing parameters of suspended sediments have been marked by selecting MODIS available channels in this paper,and the relevant inversion model of quantitative remote sensing data monitoring for suspended sediments has been established with ocean color data measured from nine stations on Fujian coastal waters in 2003-2004.The suspended sediment concentration on the coastal waters of Fujian in 2001-2005 has been calculated by using the quantitative remote sensing inversion model which has been established,and according to calculation results the characteristics of the spatial distribution and variation of suspended sediments concentration have been analyzed in the same region,specially,the movement characteristics of suspended sediments in Minjiang River estuary have been analyzed. The results indicate that the relationship between the suspended sediment concentration in the coastal waters of Fujian and the remote sensing parameters of suspended sediments based on MODIS blue(0.438-0.448μm) and green(0.545-0.565μm) channel data show exponential function,and the remote sensing quantitative model has gained a good effect and high accuracy,and can fulfill the quantitative survey of the distribution and variation of suspended sediments in the coastal waters of Fujian. Finally,the results will be considered as a basis for further research in this region.
[1] Lira J, Morales A, Zamora F. Study of sediment distribution in the area of the Panuco River plume by means of remote sensing[J]. International Journal of Remote Sensing,1997,18(1):171-182.
[2] Bowers D G, Gaffney S, White M, et al. Turbidity in the southern Irish Sea[J]. Continental Shelf Research,1998,18(5):487-500.
[3] Hu Chuanmin, Carder Kendall L, Muller Karger, et al. Atmospheric correction of SeaWiFS imagery over turbid coastal waters[J]. Remote Sensing of Environment,2000,74(2):195-206.
[4] Froidefond J M, Gardel L, Guiral D, et al. Spectral remote sensing reflectances of coastal waters in French Guiana under the Amazon influence[J]. Remote Sensing of Environment,2002,80:225-232.
[5] David Doxaran. Spectral signature of highly turbid waters application with SPOT data to quantify suspended particulate matter concentrations[J]. Remote Sensing of Environment,2002,81:149-161.
[6] 陈鸣,李士鸿,刘小靖.长江口悬浮泥沙遥感信息处理和分析[J].水利学报,1991,(5):47~51.
[7] 韩震,恽才兴,蒋雪中.悬浮泥沙反射光谱特性实验研究[J].水利学报,2003,(12):118~121.
[8] 潘德炉,李淑菁,毛天明.卫星海洋水色遥感的辐射模式研究[J].海洋与湖沼,1997,28(6):652~658.
[9] 乐华福,林寿仁,赵太初,等.近海Ⅱ类海水反射率与表面悬浮泥沙相关性的研究[J].国土资源遥感,2000,(1):34~38.
[10] 李四海,恽才兴.河口表层悬浮泥沙气象卫星遥感定量模式研究[J].遥感学报,2001,5(2):154~160.
[11] 李四海,唐军武,恽才兴.河口悬浮泥沙浓度SeaWiFS遥感定量模式研究[J].海洋学报,2002,24(2):51~58.
[12] 张穗,陈慧娟,陈鹏霄.长江口水体表层泥沙含量遥感监测研究[J].长江科学院院报,2005,22(5):23~25.
[13] 李云驹,常庆瑞,杨晓梅,等.长江口悬浮泥沙的MODIS影像遥感监测研究[J].西北农林科技大学学报(自然科学版),2005,33(4):117~121.
[14] 刘灿德,何报寅,李茂田,等.利用MODIS反演长江中游悬浮泥沙含量的初步研究[J].地质科技情报,2006,25(2):99~102.
[15] 刘良明,张红梅.基于MODIS数据的悬浮泥沙定量遥感方法[J].国土资源遥感,2006,(2):42~45.
[16] Stumpf R P, Pennock J R. Calibration of a general optical equation for remote sensing of suspended sediments in a moderately turbid estuary[J]. Journal of Geophysical Research,l989,(94):14363-14371.
[17] http://oceancolor.gsfc.nasa.gov.
[18] Pan D, Mao T, Li S, et al. Study on detection of coastal water environment of China by ocean color remote sensing[J]. Acta Oceanologica Sinica,2001,20(1):51-63.
[19] 马超飞,唐军武,王其茂,等.黄、东海区总悬浮泥沙对HY-1 CCD数据叶绿素浓度反演的影响[J].海洋科学进展,2004,22(增刊):115~120.
[20] 陈一梅.利用卫星遥感分析闽江口深水航道演变[J].水运工程,2003,(7):30~32.
[21] 罗健,龚静怡,张行南.九龙江口及厦门湾悬沙分布和输移沉积的多时相遥感分析[J].水利水运科学研究,1999,(4):368~376.
[22] 李朝新,刘振夏,胡泽建,等.泉州湾泥沙运移特征的初步研究[J].海洋通报,2004,23(2):25~31.
