机构地区: 广东海洋大学
出 处: 《海洋科学》 2010年第7期77-80,共4页
摘 要: 利用2006年12月4日珠江口海域实测的高光谱遥感反射率数据及悬浮泥沙质量浓度数据,进行了该海域表层水体悬浮泥沙遥感反演模式的研究。研究结果表明,悬浮泥沙质量浓度与Rrs(λ1)/Rr s(λ2)-Rrs(λ1)/Rrs(λ3)的相关性较好,其中Rrs(λ)代表遥感反射率,λ代表波长,λ1=762.6 nm,λ2=559.09 nm,λ3=772.78 nm,建立了悬浮泥沙质量浓度定量遥感反演模式,该模式的均方根误差为4.67 mg/L,可以用于珠江口海域的悬浮泥沙质量浓度的遥感监测。 The remote-sensing inversion model for the Pearl River Estuary suspended sediment was established using data of hyperspectral remote sensing reflectance and suspended sediment concentrations collected on December 4, 2006. We found a good correlation between suspended sediment concentrations and Rrs (λ1)/Rrs (λ2 ) - Rrs (λ1)/Rrs(λ3)( λ,wave length; Rrs (λ) remote sensing reflectance;? λ1= 762.6 nm;?λ2 = 559.09 nm; and λ3 = 727.8nm). The root mean square error of this model was 4.67 mg/L. The model can be used in the remote sensing of the suspended sediment concentrations of the Pearl River Estuary.
领 域: [自动化与计算机技术] [自动化与计算机技术]