基于Landsat-8数据南海近岸悬浮泥沙与叶绿素a浓度定量反演

摘要

为了对南海近岸海域海水悬浮泥沙与叶绿素a进行浓度估算,基于Landsat-8数据确定悬浮泥沙与叶绿素a的敏感波段并构建估算模型.结果表明,Landsat-8数据第一、二、四波段对悬浮泥沙浓度较为敏感,第一、二、三波段对叶绿素a浓度较为敏感,而以上单波段仍不能单独用于准确提取该区悬浮泥沙与叶绿素a,故建立多种形式的统计模型.由第一、二、四波段线性组合形成的悬浮泥沙浓度反演模型的相关系数达到0.904,平均相对误差为10.24％,反演精度为89.76％.由第一、二、三波段线性组合形成的叶绿素a浓度反演模型的相关系数达到0.886,平均相对误差为11.27％,反演精度为88.73％.%In order to estimate the nearshore suspended sediment concentration and the concentration of chlorophyll-a in South China Sea,the authors determined their sensitive wave bands and built the experience models based on Landsat-8 data.The results showed that Band 1,Band 2 and Band 4 in Landsat-8 data were sensitive to suspended sediment,and Band 1,Band 2 and Band 3 were sensitive to chlorophyll-a.However,the single-band model was not accurate enough to retrieve the concentration of suspended sediment or chlorophyll-a,therefore,a combination estimation model was established.The correlation coefficient,average relative error and inversion accuracy of suspended sediment concentration inversion model using Band 1,Band 2 and Band 4 were 0.904,10.24％and 89.76％,respectively.The correlation coefficient,average relative error and inversion accuracy of chlorophyll-a concentration inversion model using Band 1,Band 2 and Band 3 were 0.886,11.27％and 88.73％,respectively.