Single-channel and two-channel methods for recognizing short time weather phenomena from FY- 2C data
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 multichannel infrared composite images of FY-2C to estimate particles emission and recognize short time weather phenomena.
geostationary satellite land surface temperature FY-2C data two-channel algorithm
Hong FAN Hua-yong Ge Yi-zhi WU Zhi-yong SHAN Wu-jun XU
College of Information Science and Technology Donghua University Shanghai, 201620, P R China
国际会议
2011 4th International Congress on Image and Signal Processing(第四届图像与信号处理国际学术会议 CISP 2011)
上海
英文
2001-2004
2011-10-15（万方平台首次上网日期，不代表论文的发表时间）