国土资源遥感Issue(1)：9-15,7.DOI:10.6046/gtzyyg.2015.01.02
被动微波遥感积雪参数反演方法进展
Progress in study of snow parameter inversion by passive microwave remote sensing
孙知文 1于鹏珊 2夏浪 3武胜利 4蒋玲梅 5郭镭1
作者信息
- 1. 航天恒星科技有限公司，北京 100086
- 2. 北京神舟航天软件技术有限公司，北京 100094
- 3. 农业部资源遥感与数字农业重点开放实验室，北京 100081
- 4. 国家卫星气象中心，北京 100081
- 5. 北京师范大学遥感科学国家重点实验室，北京 100875
- 折叠
摘要
Abstract
Snow depth ( SD ) and snow water equivalent ( SWE ) are key parameters in hydrology and climate research,especially in the snowstorm monitoring. In this paper,the authors first provided a brief background of the physical basis of the SD and SWE inversion algorithm, i. e. , the snow microwave radiative transfer model, and discussed the snow microwave radiation and scattering in different microwave frequencies. After that, the former snow estimation inversion algorithms were reviewed, which can be categorized into two types: linear brightness temperature gradient and prior knowledge-based from mathematical methods. The advantages and limitations of the two algorithms were summarized. The linear brightness temperature gradient method is easier and runs faster,but it only suits specific study areas. For the establishment of a prior knowledge-based model,researchers need to obtain the sample data and repeated training so as to achieve higher accuracy. However, the model requires the independence and significant mean difference of the samples. The SD and SWE inversion algorithms for Fengyun-3 microwave radiation imager ( FY-3 MWRI) were described,which are composed of global business algorithm and improved regional algorithm for China. Finally, the research focuses in this aspect were predicted.关键词
被动微波遥感/微波辐射计/雪深(SD)/雪水当量(SWE)/反演算法Key words
passive microwave remote sensing/microwave radiometer/snow depth ( SD )/snow water equivalent ( SWE)/inversion algorithm分类
信息技术与安全科学引用本文复制引用
孙知文,于鹏珊,夏浪,武胜利,蒋玲梅,郭镭..被动微波遥感积雪参数反演方法进展[J].国土资源遥感,2015,(1):9-15,7.
