DUST STORM DETECTION BASED ON MODIS DATA

摘要

Dust storm is a kind of meteorological disaster which usually takes place in the northern china in spring. It becomes a very important environmental issue and one of the major natural hazards. Its enormous damage on society and life rise extensive concern and research. It is important to know the causation, transportation and radiation effect of dust storm. So we can use a science and efficient approach to avoid the disaster. The government and researchers in China focus on a rapid and effective approach for quick extraction of storm information and timely and correctly warning. The storm usually occurred in the desert, Gobi and hungriness. Therefore due to the limited ground environmental and climatic observations in the relevant regions, satellite remote sensing of objectivity, real-time and macro-scope view, has become an important approach to detect dust storms in China. It is reported that dust storm happened in western Gansu and Neimenggu on March 14th 2009. MODIS 1B data of relevant regions were used to detect the dust storm. The key point was to analyze the character of dust storm from MODIS data, and build a appropriate rule to extract the dust information. This research used two kinds of algorithms to separate the dust from other objects such as cloud, ground surface and desert surface. The results showed a macro-scope view of the dust storm, and it accorded to the report of weather information services. In conclusion, remote sensing technique can play an important role in monitoring and analyzing dust storm. MODIS provides high quality data source with multi-spectral bands, appropriate spatial resolution and high temporal resolution.