摘要
利用2011年黄河调水调沙期间测量的45组表面光谱和悬浮物浓度数据,分析了黄河口海域不同悬浮物浓度水体的光谱特征.采用Rrs(709)/Rrs(443)和Rrs(709)/Rrs(560)的波段组合形式,由实测数据建立了针对MERIS的悬浮物浓度反演模型.基于独立数据的模型精度检验结果表明,模型反演结果的相关系数为0.87,平均相对误差为28.3%.
During water and sediment regulation of Yellow River in 2011,45 groups of surface spectral and suspended matters concentration data were obtained. Based on these data, spectral characteristics of Yellow River estuary waters is analyzed. A suspended matters retrieval model for MERIS data is estab- lished. We find that the combination of Rrs（709）/Rrs（443） and Rrs（709）/Rrs（560） is superior to other bands＇ combinations and has high retrieval accuracy. The correlation coefficient derived from this model is 0.87, the mean relative error of the model test result is 28.3 %.
出处
《内蒙古师范大学学报（自然科学汉文版）》
CAS
北大核心
2012年第3期258-261,268,共5页
Journal of Inner Mongolia Normal University(Natural Science Edition)
基金
国家自然科学基金资助项目(60802089)
国家高技术研究发展计划"863"项目(2007AA092102)
关键词
水色遥感
遥感反射率
光谱特征
悬浮物浓度
反演模型
ocean colors remote sensing
remote sensing reflectance
spectral characteristics
suspen-ded matters concentration, retrieval model
