摘要
为利用遥感技术快速、及时的掌握厦门近岸海域水体中悬浮颗粒物的总体分布情况,现场测量了厦门海域水体的下行入射辐射、天空光以及经过水气界面后反射回的辐射,计算了该海域水体表面的离水辐射获得了水体表面以上遥感反射率;同时采集了与光谱信息同步的水体样品,并分析了水体中的悬浮颗粒物质量浓度,获取了对应站位的水体反射波谱曲线和采集样品的浓度数据.通过研究不同站位水体的反射光谱数据,依据GF-WFV波段设置,对现场实测的光谱数据进行了拟合,并创建了基于GF-WFV拟合波段的悬浮颗粒物浓度经验反演算法.通过研究发现拟合(Rrs3+Rrs4)/Rrs2(其中Rrs1、Rrs2、Rrs3、Rrs4分别是GF-WFV第1、2、3、4波段的遥感反射率)同实测水体悬浮颗粒物质量浓度之间的决定系数为0.655,依据研究得出的反演算法反演该海域水体悬浮颗粒物质量浓度,其均方根误差为11.03 mg/dm3,相对误差为8.40 mg/dm3.利用同步的GF-WFV遥感数据对厦门近岸水体中总悬浮颗粒物质量浓度进行了研究,获取了研究区水体悬浮颗粒物的空间分布情况,结果表明GF-WFV遥感数据能很好的反映厦门近岸水体悬浮颗粒物浓度分布状况.
The remote sensing is commonly applied to retrieve the concentration of total suspended matter（ TSM） in water because of its wide range and quickness for the concentration. The remote sensing reflectance above water is calculated after in situ downward incident radiation,skylight and water-leaving radiation achieved. What＇s more,the in situ spectrum data is arranged according to the band set of GF-WFV. Meanwhile,the water samples were collected and analyzed. After achievement of the remote sensing reflectance and the concentration of TSM,the retrieval models of TSM in Xiamen Bay are built based on the simulated band combination. Different methods and models are applied to testify the relationship between simulated remote sensing reflectance and TSM concentration.We find that the model of（ Rrs3 ＋ Rrs4） / Rrs2 are the best one to retrieve TSM concentration. The determination coefficient is 0. 655 and the retrieval RMSE error is 11. 03 mg / dm^3 with the relative error of 8. 40 mg / dm^3 when the model of（ Rrs3 ＋ Rrs4） / Rrs2 are applied for the retrieval. As results,the grading distribution of TSM in Xiamen Bay is achieved and well expressed by GF-WFV data.
出处
《应用海洋学学报》
CSCD
北大核心
2016年第4期559-566,共8页
Journal of Applied Oceanography
基金
环保公益资助项目(201409100)
