基于CBERS-1影像监测太湖叶绿素a浓度的季节分布状况

Monitoring the Seasonal Distribution Pattern of Chlorophyll-a Concentration in Taihu Lake Based on CBERS-1 Imageries

叶绿素a浓度是衡量湖泊富营养化程度的重要指标。采用太湖2003年10月27日和28日的水质实验数据,构建了太湖叶绿素a浓度反演模型。然后将该模型应用于2006年4月5日、4月28日、5月16日、8月5日、10月30日和2007年7月5日的6期CBERS-1影像数据,研究与探讨了太湖叶绿素a浓度在上述时间尺度上的变化状况。通过研究可知,太湖叶绿素a浓度在夏季较低,而在秋季和冬季较高,基本上能反映浮游植物年际生长的4个过程;与以往的研究对比分析可知,基于CBERS-1影像数据反演获取的叶绿素a浓度比实际浓度总体偏高,CBERS-1数据影像在水色遥感中的应用仍然有待进一步的研究与探索。

Chlorophyll-a concentration is an important indicator for estimating the eutrophication degree of a lake.Taking advantage of the water qualities experimental data on 27 and 28 October,2003,the paper constructs the chlorophyll-a concentration estimating model for Taihu Lake,China.And then,the study uses this chlorophyll-a concentration estimation model to estimate the seasonal distribution pattern of chlorophyll-a concentration from CBERS-1 imageries on 5 April,28 April,16 May,5 August,and 30 October of 2006,and 5 July,2007.According to the research results,it was found that the chlorophyll-a concentration is lower in summer and higher in autumn and winter,and could illuminate the four stages of phytoplankton growth in a year;Compared with the previous study reports,the chlorophyll-a concentration is higher than the actual concentration by estimating from the CBERS-1.There are still some problems for applying the CBERS-1 imageries to water qualities remote sensing,which should be improved by further study.