NOAA16卫星积雪识别和参数提取

通过对积雪、地物和云进行光谱分析,指出传统的NOAA-AVHRR可见光和近红外波段进行云雪识别存在困难,而雪在红外波段的低反射性特点是区分云雪的一个可行途径.利用NOAA16气象卫星新增的1.6μm红外波段,对中国北方冬季的卫星积雪图象进行识别,结果显示,云雪可以准确区分.同时,提出了利用AVHRR资料估算积雪面积、积雪深度和积雪时间的方法,并对积雪深度进行了精度检验.

Detecting Snow and Estimating Snowpack Parameters from NOAA16-AVHRR Data

Based on a spectral analysis of snow, soil, vegetation and cloud, in this paper it is indicates that the first two bands of traditional NOAA-AVHRR has trouble to distinguish snow from cloud, and the low reflectance of snow in the middle infrared spectral region can be used to distinguish snow from cloud. In this paper winter snow in northern China can be successfully detected by using newly 1.6 μm middle infrared band of NOAA16-AVHRR. Further, a method to estimate the snowpack parameters is presented, including snow time, snow area and snow depth. The difference of Band 1 and Band 3a for NOAA16-AVHRR is correlated with snow depth data from agri-meteorologic observation stations, and then an exponential fit equation of snow depth is built using curve regression. It is verified that the accuracy of the snow depth is good.