基于Python语言的Himawari-8资料在沙尘暴 移动轨迹分析中的作用研究

Study on the role of Himawari-8 data based on Python language in the analysis of sandstorm trajectory

近年来,沙尘暴给我国北方人民生活生产造成了非常大的负面影响,这引起了研究人员和公众的注意。针对沙尘暴,国内外许多学者使用了不同的方法,现在使用卫星对沙尘暴进行监控成为主流,并且使用卫星资料对发生过的沙尘事件进行了研究,其中,使用较多的是Himawari-8卫星资料。文章采用Python语言解析Himawari-8的L1资料,通过选定亮温通道生成批量沙尘产品图,观察沙尘暴移动轨迹更直观便利。

In recent years,dust storms have caused a great negative impact on the life and production of people in the north of China,which has attracted the attention of researchers and the public.For sandstorms,many scholars at home and abroad have used different methods,now use satellites to monitor sandstorms become the mainstream,and use satellite data to study the occurrence of dust events,among which,more use is Himawari-8 satellite data.This paper uses python language to analyze the L1 data of the Himawari-8,and generates the batch dust product map by selecting the bright temperature channel to observe the sandstorm moving track more intuitively and conveniently.