节点文献
福建近岸海域悬浮泥沙浓度遥感定量监测研究
Study on Remote Sensing Quantitative Model of Suspended Sediments in the Coastal Waters of Fujian
【摘要】 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。
【Abstract】 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.
【Key words】 remote sensing; suspended sediment; relevant inversion model; MODIS; Fujian coastal waters;
- 【文献出处】 自然资源学报 ,Journal of Natural Resources , 编辑部邮箱 ,2008年01期
- 【分类号】TP79
- 【被引频次】39
- 【下载频次】781