基于GF-2影像的廊坊市中亭河COD遥感监测方法

Study on COD remote sensing monitoring method of Zhongting River in Langfang City Based on GF-2 Image sensing monitoring of COD

为验证宽波段高空间分辨率遥感卫星数据在小范围尺度水质监测上的可行性,基于GF-2号卫星数据,对中亭河的河水化学需氧量(COD)进行遥感监测,根据实地采样数据与遥感卫星数据的相关性建立经验模型,通过反演模型实现对河水COD的实时监测。实验结果表明:统计模型R2为0.8274,模型平均误差为4.9%,宽波段高空间分辨率遥感卫星数据在小尺度水质监测上是可行的。

This study aims to find out the feasibility of water quality monitoring based on real-time remote sensing satellite data in small scales.To extract the distribution of Chemical Oxygen Demand(COD)in the Zhongting River,the GF-2 data which has a high spatial resolution were adopted to establish the models and acquire the COD result.The experimental results show that the statistical model R2 is 0.8274,Model average error of 4.9%,and Wide-band high spatial resolution remote sensing satellite data is feasible at small-scale water quality monitoring.