Sun De-Yong, Li Yun-Mei, Wang Qiao, Lü Heng, Le Cheng-Feng, Yang Yu, Jin Xin, Wang Yan-Fei
Key Laboratory of Virtual Geographic Environment, Ministry of Education, Nanjing Normal University, Nanjing 210046, China.
Huan Jing Ke Xue. 2010 Jun;31(6):1428-34.
Lake scattering characteristics are of great significance for remotely-sensed retrieval model development. In this study, scattering and backscattering coefficients of Lake Chaohu were observed through AC-S and ECO-BB9 meters, and their spectral properties were correspondingly analyzed. Then Power function is utilized to model particulate scattering and backscattering spectra, and spectral slope parameters obtained by simulation are 0.86 and 3.24, separately. The proposed scattering and backscattering models present relatively low predicative errors. Particulate scattering coefficients are closely related to TSM and ISM, with corresponding correlative coefficients of 0.91 and 0.94. Their relationships can be simulated well through linear function, and further specific scattering coefficients of TSM and ISM were proposed to be 0.636 4 (10(-3) m2 x mg(-1)) and 0.910 8 (10(-3) m2 x mg(-1)). In addition, particulate backscattering ratio in Lake Chaohu has a variation range of 0.003-0.026, and refractive index varies from 1.02 to 1.06, which displays no large variation spans when compared with that in previous studies.
湖泊散射特性对于遥感反演模型的发展具有重要意义。在本研究中，通过AC - S和ECO - BB9仪器观测了巢湖的散射系数和后向散射系数，并对其光谱特性进行了相应分析。然后利用幂函数对颗粒散射光谱和后向散射光谱进行建模，模拟得到的光谱斜率参数分别为0.86和3.24。所提出的散射和后向散射模型具有相对较低的预测误差。颗粒散射系数与总悬浮物（TSM）和无机悬浮物（ISM）密切相关，相应的相关系数分别为0.91和0.94。它们之间的关系可以通过线性函数很好地模拟，进一步提出TSM和ISM的比散射系数分别为0.636 4（10⁻³ m²·mg⁻¹）和0.910 8（10⁻³ m²·mg⁻¹）。此外，巢湖颗粒后向散射比的变化范围为0.003 - 0.026，折射率在1.02至1.06之间变化，与先前研究相比，其变化跨度不大。
