摘要
基于多时相MERIS数据,本文对滇池叶绿素a浓度的时空变化趋势进行了研究.以野外实测数据为基础,对应用较好的三种叶绿素a浓度反演模型进行了验证比较,通过精度评价和误差分析选择最优的三波段模型;将其应用到经过几何纠正和大气纠正等预处理后的MERIS数据系列,得到2003-2009年时间序列下的57幅滇池叶绿素a浓度分布图.分析结果表明,在2003-2009年间,滇池叶绿素a浓度总体呈周期性波动缓慢上升趋势,每年2-3月浓度最低,4-11月较快上升达到峰值,12-1月开始回落;空间分布上,叶绿素a浓度高值区多出现在滇池北部、岸边带等靠近城镇的人口聚集区域,且浓度越高的季节,空间分布差异越显著.
Spatial-temporal variation trends of Chlorophyll-a concentration in Lake Dianchi were analyzed based on MERIS data.First,three popular retrieval algorithms of Chlorophyll-a concentration were calibrated by field measurements.It was found that three-band model was the best one with higher estimation accuracy.Then,the optimized three-band model was applied to 57 MERIS images from 2003 to 2009 which were pre-processed through geometric correction,atmospheric correction,etc.At last,a series of maps about Chlorophyll-a concentration distribution of Lake Dianchi were produced.The result showed that Chlorophyll-a concentration was rising slowly with a periodic fluctuation in Lake Dianchi.During a year,Chlorophyll-a concentration showed a decreasing-increasing-decreasing pattern,where the minimum appeared in February and March,and the maximum occurred within September and November.Regarding to spatial distribution,Chlorophyll-a concentration was higher at the edge and the north of Lake Dianchi,which are close to the Kunming city and small towns.In addition,the higher Chlorophyll-a concentration was,the more obvious the spatial variation was.
出处
《湖泊科学》
EI
CAS
CSCD
北大核心
2011年第4期581-590,共10页
Journal of Lake Sciences
基金
国家自然科学基金项目(40871162)资助
关键词
叶绿素A
时空变化
滇池
MERIS数据
三波段模型
Chlorophyll-a
spatial-temporal variation
Lake Dianchi
MERIS data
three-band model
