A Methord Of Active Fire Detection Based On VIIRS 375m Data And Effects On The Haze Pollution From Autumn Crop Residue Burning Over The Jing-Jin-Ji Region

Crop residue burning is one of the main sources of fine particles in the atmosphere, it will not only result to the deterioration of regional air quality, and reduction of visibility; but also change the cycle of the ecosystem, lead to the adverse effect of health. It is crucial to identify the time and location of crop residue burning timely, understand the spatial and temporal distribution and dynamic changes of crop residue burning.VIIRS as next generation sensor to substitute for MODIS, it's band setting and spectral response was on the basis of inheriting the advantages of MODIS. More importantly, its spatial resolution increased to 375m. In this study, a VIIRS active fire detection algorithm was studied, which is driven primarily by the 375 m middle and thermal infrared imagery data. In addition, Remote sensing data, pollutant ground monitoring data, aerosol ground-based observation data and meteorolo-gical data were used for analyzing effects on the haze pollution from autumn crop residue burning over the Jing-Jin-Ji region during the period from October 12th to 16th in 2016. Main conclusions are as follows:(?) The VIIRS 375m active fire detection algorithm builds on the well-established MODIS Fire and Thermal Anomalies product using a contextual approach to detect both day and nighttime biomass burning and other thermal anomalies. It makes up the deficiency of AVHRR and MODIS data in spatial resolution, improves the detection ability of the small fire point, and improves the ability of the large fire dynamic monitoring.(?) The characteristic of the algorithm was it's unique methord of eliminate the false alarming, it not only eliminates the peak value of 14 channel result from sand banks along riverbeds which may be confused with the dynamic fire; but also eliminates false alarms resulting in localized spikes in brightness temperature on channel 14 offmetallic rooftops in industrial parks, over large and bright surfaces such as concrete pavement, and at water bodies over which specular reflection(Sun glint) may occur.(?) The heavy haze pollution occurred during the period from October 12th to 16th in 2016 accounts for the combination of natural and human factors, namely the local pollutant emission and transmission due to crop residue burning, the local vehicle exhaust, the stability of the atmosphere and the abundant water vapor near the surface.