基于生物光学模型的晋江悬浮物遥感估算  

Estimation of suspended solids in the Jin River through bio-optical model-based remote sensing technology

作　　者：李婉晖[1] 徐涵秋[1] 

机构地区：[1]福州大学环境与资源学院,福州350108

出　　处：《环境科学学报》2009年第5期1113-1120,共8页Acta Scientiae Circumstantiae

基　　金：福建省重大专项前期研究项目(No.2005YZ1011)~~

摘　　要：为了建立以生物光学模型为基础的河流悬浮物遥感估算方法,以福建晋江为例,对福建晋江下游河段的光学特性和悬浮物浓度进行了测定,探讨了水面下反射率R(0-)与悬浮物浓度之间的响应关系.结果表明,绿光波长的反射率与悬浮物浓度的相关性最强,因此,用R(0-)TM2与悬浮物浓度建立了遥感估算模型,并将其应用于2008年2月28日的LandsatTM影像,反演出晋江的悬浮物浓度分布.精度分析说明,平均相对误差RE为11.93%,该模型可以有效地应用于LandsatTM反演悬浮物浓度.Water＇s Inherent Optical Properties （IOPs）, including the absorption and scattering coefficients of the water components, are essential parameters for a bio-optical model. It is also important for the retrieval of water quality using the semi-analytical method. Nevertheless, the application of bio-optieal models in river water studies is still very rare. Therefore, taking the lower Jin River of Fujian, SE China as an example, we measured and computed the bin-optical properties and the suspended solids concentrations of the river water based on in situ water samples collected from the river on March 5, 2008. This revealed that R （O^-）TM2 was most strongly correlated with suspended solids concentrations. Accordingly, a retrieval model for estimating SS was developed using R（O^ - ） TM2. Application of this bio-optieal model to the Landsat TM image dated on Feb. 28, 2008 yielded a SS model for the TM data of the Jin River. The Relative Error （RE） of the model is 11.93%. This result indicates that the model can effectively retrieve the SS of the Jin River.

关 键 词：悬浮物 吸收系数 后向散射系数 水面下反射率 

分 类 号：X32[环境科学与工程—环境工程]