Dust was monitored hourly based on Himawari 8data. Time series analysis and histogram statistic methods were used for analyzing the brightness temperature of Band15, 13, 11, BT15-BT 13 and BT13-BT 11. The results showed that each object shared the similar value range based on the selected Bands. The Brightness Temperature (BT) of ice cloud was about 220~250K; the BT of dust, water cloud and cold land was about 260~270K; and the BT of low cloud, fog and warm land was about 270~290K. Band13 was sensitive to identify dust because of the low BT value over dust area. The differences of BT in two infrared channels can clearly distinguish dust from other objects. The value of BT15-BT13 was high and the value of BT13-BT11 was low in dust area. The results of correlation analysis showed that BT15-BT13 and BT13-BT11 were significantly related to the ground PM10 concentration at the 0.01level. BT15-BT13, BT13-BT11 and BT13 were used for false color composite for dust monitoring. Combine meteorological data, ground PM10 data, Lidar and satellite remote sensing results, the source, formation process and moving track of dust weather can be monitored hourly from 3dimensions.
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