2008年11月、2009年4月,分别对太湖水体以及2009年6月对巢湖水体进行野外实验.对太湖水体遥感反射率进行因子分析,并利用遥感反射率的不同因子,对叶绿素和总悬浮物浓度进行反演,并对反演因子的普适性进行验证.利用第一因子反演太湖春季叶绿素浓度,平均相对误差为22.1%,均方根误差为3.48g/L,利用该方法反演巢湖、太湖秋季水体的叶绿素浓度没有取得较好的效果;利用第二因子反演太湖春季总悬浮物浓度,平均相对误差为13.9%,均方根误差为11.33mg/L。利用该因子反演巢湖、太湖秋季水体的总悬浮物浓度同样取得较好效果.结果表明:利用遥感反射率的第一因子对叶绿素浓度进行反演,该方法不具有普适性;利用遥感反射率的第二因子对总悬浮物浓度进行反演能取得较好的结果,此方法具有一定的普适性.
Field experiments were conducted on Lake Taihu in November 2008 and April 2009, and on Lake Chaohu in June 2009. The water remote sensing reflectance was analyzed by factor analysis method. Furthermore, Chlorophyll and total suspended matter concentration were inversed using different factors of remote sensing reflectance, and universality of inverted factor was verified too. Chlorophyll concentration of Lake Taihu in spring was inversed by the first factor, and relative error and root-mean-square error are 22.1% and 3.48g/L, respectively. However, this method failed in inversing of autumn of Lake Taihu and Lake Chaohu. Concentration of total suspended matter was inversed by the second factor, and relative error and root-mean-square error were 13.9% and 11.33mg/L, respectively. This method was suitable in Lake Chaohu and autumn of Lake Taihu. Applicability of the first factor of remote sensing reflectance to inverse chlorophyll concentration was limited, and applicability of the second factor of remote sensing reflectance to total suspended matter concentration was certain universal.