NOAA/AVHRR遥感数据在夜间雾监测中的应用

Detection of Nighttime Fog Using NOAA/AVHRR Data

通过对夜间雾的NOAA/AVHRR红外光谱特征分析,建立基于NOAA/AVHRR遥感数据的夜间雾遥感监测模型。利用该模型对2005年冬季和2008年秋季2个时次江西省范围内的夜间雾分布格局进行监测,经地面气象观测资料检验表明,该模型监测夜间雾的准确率达69.2%。该模型的应用可弥补常规气象监测方法的不足,基本实现对夜间雾的宏观、动态、连续监测。

Through analyzing the infrared spectral characteristics of nighttime fog in NOAA/AVHRR data,the nighttime fog detection model has been established base on NOAA/AVHRR data.The distribution of nighttime fog in winter of 2005 and autumn of 2008 in Jiangxi Province has been detected using the model.And the result is validated by comparing to surface meteorological observation records.The analysis indicates that the model can accurately monitor the distribution of nighttime fog and its accuracy is 69.2%.Application of this model can remedy the inadeguacy of the meteorological observation and detect nighttime fog widely,dynamically and continuously.