精选论文 |《测绘学报（英文版）》“GNSS和LBS”专刊

Title l 题目

Ground-based GPS Used in the Snow Depth Survey of Greenland

Citation l 引文格式

Shuangcheng ZHANG,Meiling ZHOU,Yajie WANG,Ning LIU,Qi LIU,Jilun PENG. Ground-based GPS Used in the Snow Depth Survey of Greenland[J]. Journal of Geodesy and Geoinformation Science, 2021, 4(2): 47-55.DOI: 10.11947/ j.JGGS.2021.0205.

Abstract l 摘要

Snow cover is one of the important components of land cover, and it is necessary to accurately monitor the depth and coverage of snow cover. Using the GPS signal receiver data and the basic principle of snow depth detection based on GPS-MR technology, the snow depth of the three sites on the Greenland PBO network GLS1, GLS2, and GLS3 from 2012 to 2018 was obtained. The inversion snow depth is affected by site drift, which is a quite difference from the measured snow depth. Combined with the stable reference point, the velocity field distribution of Greenland Island and the U-direction component change value of the station can be obtained through GAMIT calculation. By analyzing the glacial flow and U-direction component, the influence of the site drift on the snow depth was deducted, and finally compared the corrected inversion snow depth and measured snow depth found that the two were better than before the correction, the results were significantly improved, and the consistency was good. The analysis of the experimental results showed that in extremely cold areas such as Greenland Island, affected by glaciers, the continuous, real-time, high-time resolution snow depth around the measured station obtained by ground-based GPS tracking stations has a large gap with the measured snow depth value, and the gap will gradually increase with time. By deducting the impact of glacier drift, the trend of the two is the same and the consistency is good. The correctness and feasibility of the application of ground-based GPS snow cover theory in the polar area further expand the application scope and practical value of ground-based GPS in snow monitoring.

Key Words l 关键词

ground-based GPS; Greenland; GPS-MR; snow depth; time series

Authors l 作者

Shuangcheng ZHANG, Meiling ZHOU, Yajie WANG, Ning LIU, Qi LIU, Jilun PENG.

Shuangcheng ZHANG

张双成，男，1979年生，毕业于武汉大学，博士。现任长安大学副教授、硕士生导师、博士生导师、地质工程与测绘学院测绘科学系副主任，主持省部级项目和国家自然科学基金项目4项，作为科研骨干参与国家“863计划”、国家自然科学基金、交通部西部交通建设科技项目、中国地质调查局地质调查工作项目、二代导航重大专项等20余项。

主要研究领域为卫星导航、遥感与地质灾害监测。主要学术贡献包括：构建了融合InSAR和GNSS技术开展地面沉降地裂缝监测体系，在北京地面沉降、长三角地面沉降、汾渭盆地地面沉降地裂缝、陕北煤矿塌陷等多地推广应用；参与建立了长安大学北斗分析中心，协助构建了毫米级GNSS地质灾害实时监测云平台，并用于陕西、甘肃、重庆等地多个滑坡实时监测；率先在国内开展了基于多路径信号的GNSS遥感积雪、潮位、土壤湿度参数等研究，逐步完善了GNSS遥感理论体系。

Meiling ZHOU

周美玲，女，长安大学在读硕士研究生。主要研究方向为GNSS高精度数据处理、遥感。

Yajie WANG

王亚洁，女，毕业于长安大学，硕士。主要研究方向为GNSS高精度数据处理、光学遥感和积雪监测。

Full Paper | 全文如下

本文选自JGGS 2021,Volume 4, Issue 2, P47-55。本期审图号（Map Approval Number）：GS（2021）3388。点击阅读原文即可下载。

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初审：段鹏丽

复审：宋启凡
终审：金   君

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