| 基于GPS新型L5信号的地表雪深反演研究 |
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| 引用本文： | 黄良珂,周威,刘立龙,陈军,王浩宇.基于GPS新型L5信号的地表雪深反演研究[J].测绘通报,2019,0(7):1-5,11. |
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| 作者姓名： | 黄良珂 周威 刘立龙 陈军 王浩宇 |
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| 作者单位： | 桂林理工大学测绘地理信息学院,广西桂林541004;广西空间信息与测绘重点实验室,广西桂林541004;武汉大学卫星导航定位技术研究中心,湖北武汉430079;桂林理工大学测绘地理信息学院,广西桂林541004;广西空间信息与测绘重点实验室,广西桂林541004;武汉大学测绘学院,湖北武汉,430079 |
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| 基金项目： | 国家自然科学基金（41664002； 41704027）；广西自然科学基金（2017GXNSFDA198016； 2017GXNSFBA198139）；广西“八桂学者”岗位专项；广西空间信息与测绘重点实验室项目（16-380-25-01；15-140-07-34） |
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| 摘 要： | 利用GPS多路径反射信号测量地表雪深具有全天候和高时空分辨率的特点，因此其可作为一种代替气象站监测雪深的新手段。然而，先前大多数研究仅使用了GPS L1和L2C波段信噪比数据探测积雪深度。为验证新型的L5信号在雪深反演方面的优越性，本文阐述了GPS-R技术反演雪深的原理，利用Lomb-Scargle周期图法所处理的受积雪表层影响的信噪比数据计算了频谱振幅强度，通过获取频谱特征值与天线高度的关系求解雪深值，最后分别与L1反演结果和实测雪深数据进行了对比。试验结果表明：与现有的GPS-R测量雪深结果相比，利用新型的L5反射信号反演地表雪深的精度更佳；采用GPS-R技术探测雪深对把握测站区域内的雪深变化情况和淡水资源储量具有重要价值。
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| 关 键 词： | 全球定位系统 反射信号 雪深反演 Lomb-Scargle周期图法 |
| 收稿时间： | 2018-10-08 |
Research on surface snow depth retrieval of new L5 signals from GPS |
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| HUANG Liangke,ZHOU Wei,LIU Lilong,CHEN Jun,WANG Haoyu.Research on surface snow depth retrieval of new L5 signals from GPS[J].Bulletin of Surveying and Mapping,2019,0(7):1-5,11. |
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| Authors: | HUANG Liangke ZHOU Wei LIU Lilong CHEN Jun WANG Haoyu |
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| Institution: | 1. College of Geomatic Engineering and Geoinformatics, Guilin University of Technology, Guilin 541004, China;2. Guangxi Key Laboratory of Spatial Information and Geomatics, Guilin 541004, China;3. GNSS Research Center, Wuhan University, Wuhan 430079, China;4. School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China |
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| Abstract: | Global Positioning System multipath reflected signals can be used to measure surface snow depths, which has all-weather and high spatial-temporal resolution characteristics. Therefore, GPS-R technology can be used as a new method for monitoring surface snow depths instead of meteorological stations. However, most previous studies have only used the signal-to-noise ratio (SNR) data of GPS L1 and L2C signal to detect snow depth. In order to test the superiority of GPS-R technology based the new L5 signal in snow depth retrieval, this paper describes the basic principles of GPS-R technology for retrieving snow depth and uses Lomb-Scargle periodogram method to calculate spectral amplitude of the SNR data of the reflected signals affected by the snow surface. Snow depths are obtained by using the relationship between the spectral characteristic value and the antenna height. Finally, the retrieved snow depths are compared with the results of GPS L1 signals and in situ measurements, respectively. The results show that the performance of GPS-R technology with the new L5 signal is high better in snow depth retrieval when compared with that of GPS L1-SNR signals. In addition, it is of great value for snow depth variations and freshwater resource around the GNSS station to use GPS-R technology to detect land-surface snow depths. |
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| Keywords: | Global Positioning System reflected signal snow depth retrieval Lomb-Scargle periodogram |
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