华东交通大学学报2016，Vol.33Issue(5)：81-86,111,7.
基于GNSS-R技术的北极黄河站雪深反演研究
Research on Snow Depth Inversion at Arctic Yellow River Station Based on GNSS-R Technique
摘要
Abstract
Snow depth detection plays an important role in the research of climate and environment for the polar regions. However, the existing observational approaches have many limitations in snow depth detection. In recent years, GNSS-R technology, which utilizes GNSS multipath signal to retrieve surface information on land and o-cean, has attracted wide attention. In this paper, the snow depth inversion principle of GNSS-R technology is firstly analyzed. A self-designed GNSS-R snow depth inversion experiment is then carried out at Chinese Arctic Yellow River Station. Finally, the snow depth changes in the first half of 2015 are extracted by SNR data. This experimental results show that snow depth derived from GNSS-R is in good agreement with field measurements, which means GNSS-R technology can be used to obtain snow depth in polar regions.关键词
GNSS-R/雪深/多路径/信噪比Key words
GNSS-R/snow depth/multipath/SNR分类
天文与地球科学引用本文复制引用
刘智康,安家春,冯鱼,王泽民..基于GNSS-R技术的北极黄河站雪深反演研究[J].华东交通大学学报,2016,33(5):81-86,111,7.基金项目
国家自然科学基金(41531069) （41531069）
国家海洋局南北极环境综合考察与评估专项基金(CHINARE2015-02-02) （CHINARE2015-02-02）
