Single-channel and two-channel methods for recognizing short time weather phenomena from FY-2C data

Abstract

FY-2C is geostationary satellite which is researched and developed by China. The primary advantage of geostationary satellite is the ability to characterize the radiance by obtaining numerous views of a specific earth location at any time of a day. This allows the production of a composite image to monitor short time weather phenomena better. Having several channel bands makes the analysis algorithms more complex and inefficient, thus it is important to choose the most respective bands. The retrieval of Land Surface Temperature (LST) from geostationary meteorological satellite data is proposed using single-channel and two-channel methods on the basis of the radiative transfer theory, producing composite images by calculation and analysis at sequential period of time can clearly show changes of dust and fog coverage. This paper describes a technique that uses multi-channel infrared composite images of FY-2C to estimate particles emission and recognize short time weather phenomena.