基于Landsat8数据的沙湖叶绿素a反演研究

本文以武汉沙湖水体为研究对象,以“3S”技术为支撑,基于Landsat 8遥感影像数据与实测水质数据,根据各波段反射率的相关性,分析与研究了遥感影像数据的适宜波段,采用回归分析的方法,建立适合沙湖水体的叶绿素a浓度遥感反演模型。反演结果表明,以第4波段建立的多项式回归反演模型效果较好,其平均误差为7.28%,Landsat 8影像数据能有效用于沙湖叶绿素a浓度的监测,在空间分布上也呈现一定的空间格局形态,并显示沙湖西北角(新生路泵站)污染相对严重,与沙湖实际情况基本吻合,因此将Landsat 8影像数据应用于内陆湖泊水体叶绿素a浓度反演具有一定的可行性。

Inversion Study on Chlorophyll a of Shahu Lake Based on Landsat 8 Data

Based on landsat 8 remote sensing image data supported by"3S"technology and measured water quality data,the regression model on the concentration of chlorophylla of Wuhan Shahu Lake was constructed and analyzed,analyzed and studied.According to the correlation of reflectance of each band,the suitable band of remote sensing image data was screened by the analysis of regression.The results show that the polynomial regression inversion model based on Band 4 has a good effect,with an average error of 7.28%.Landsat 8 image data can be effectively used to monitor the chlorophyll-a concentration in Shahu Lake,and the spatial distribution also presents a certain spatial pattern.It also shows that the pollution in the northwest corner of Shahu Lake(Xinsheng Road pumping station)is relatively serious,which is consistent with the actual situation of Shahu Lake.Therefore,it is feasible to apply Landsat 8 image data to the inversion of chlorophyll a in inland lakes.