红外与毫米波学报, 2012, 31 (2): 132, 网络出版: 2012-04-13
湖泊藻类水体浮游植物色素遥感反演模型
Remote estimation of phytoplankton pigments in inland lake waters with algae
摘要
2009年10月15～16日,在巢湖蓝藻暴发期间进行实际采样和数据分析，通过Gons和Simis算法对浮游植物色素吸收及其浓度遥感反演进行了研究.结果表明,Gons和Simis算法可以用于蓝藻水华未覆盖水体的遥感反演，而在水华覆盖水体表面时算法失效；在未覆盖水体时，Gons算法(RMSE=0.04 m-1)相对于Simis算法(RMSE=0.13 m-1)可以更好地反演浮游植物色素吸收；Simis算法可以用于巢湖藻蓝素反演，但模型参数需要重新率定.总体来说，Gons和Simis算法在巢湖取得了较好的结果，有助于浮游植物色素遥感反演后续工作的进行.
Abstract
Based on in situ data in Chao Lake from October 15th 2009 to October 16th 2009, two algorithms named Gons and Simis were used to estimate phytoplankton pigment (Chlorophyll-a, Chla; Phycocyanin, PC). Results showed that both Gons and Simis algorithms can be used in waters with algae, but not in waters while algal blooms formed. For the pigment absorption at 665 nm (aph(665)), Gons can provide a better result than Simis. Simis algorithm can be used to estimate PC, while related parameters were re-calibrated. Therefore, it is necessary and significant to validate and develop the algorithms to estimate Chla and PC in Chao Lake.
金经纬, 段洪涛, 赵晨露, 周琳, 尚琳琳, 姜广甲. 湖泊藻类水体浮游植物色素遥感反演模型[J]. 红外与毫米波学报, 2012, 31(2): 132. JIN Jing-Wei, DUAN Hong-Tao, ZHAO Chen-Lu, ZHOU Lin, SHANG Lin-Lin, JIANG Guang-Jia. Remote estimation of phytoplankton pigments in inland lake waters with algae[J]. Journal of Infrared and Millimeter Waves, 2012, 31(2): 132.
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