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无人机在冰川复杂地形监测中的应用
引用本文:车彦军,王世金,刘婧.无人机在冰川复杂地形监测中的应用[J].冰川冻土,2020,42(4):1391-1399.
作者姓名:车彦军  王世金  刘婧
作者单位:1.宜春学院,江西 宜春 336000;2.中国科学院 西北生态环境资源研究院 冰冻圈科学国家重点实验室,甘肃 兰州 730000
基金项目:国家自然科学基金项目(41690143);江西省自然科学基金项目(20202BAB213013);丽江玉龙雪山省级旅游开发区管理委员会和达古冰山风景名胜区管理局委托项目资助
摘    要:冰川作为冰冻圈核心要素之一, 是气候变化的天然指示器。通过监测冰川变化, 可以了解局地或全球气候波动, 无人机飞行测量技术是当代冰川观测研究的重要监测技术。选取玉龙雪山白水河1号冰川为研究区, 利用无人机低空飞行航测, 获取冰川末端分辨率为0.09 m的正射影像和数字地表模型(DSM)。将正射影像与高分一号影像、 Google Earth提供的Pléiade影像进行对比分析, 结果表明: 空间上, 无人机航测正射影像能较好的与高分一号、 Pléiade影像产品进行匹配。高分辨率无人机航测影像, 能够很好地表达冰面地形和一些微地貌特征。同时, 无人机航测构建的空间分辨率为0.09 m的DSM模型, 对冰面地形特征反映地更为详尽和准确。此外, 本次航测结合历年卫星遥感数据和地形图资料表明: 自1957年至2018年5月, 白水河1号冰川末端平面距离累积退缩达(646.27±12.04) m。无人机技术在复杂地形、 多云天气、 人工观测难的冰川环境中开展摄影测量具有很大应用前景。通过冰川末端无人机航测实地验证, 将为下一步整条冰川物质平衡的监测和计算提供技术和方法支撑。

关 键 词:无人机(UAV)  冰川  正射影像  数字地表模型(DSM)  
收稿时间:2018-06-22
修稿时间:2018-12-02

Application of Unmanned Aerial Vehicle (UAV) in the glacier region with complex terrain: a case study in Baishui River Glacier No.1 located in the Yulong Snow Mountain
Yanjun CHE,Shijin WANG,Jing LIU.Application of Unmanned Aerial Vehicle (UAV) in the glacier region with complex terrain: a case study in Baishui River Glacier No.1 located in the Yulong Snow Mountain[J].Journal of Glaciology and Geocryology,2020,42(4):1391-1399.
Authors:Yanjun CHE  Shijin WANG  Jing LIU
Institution:1.Yichun University,Yichun 336000,Jiangxi,China;2.State Key Laboratory of Cryospheric Science,Northwest Institute of Eco-Environment and Resources,Chinese Academy of Sciences,Lanzhou 730000,China
Abstract:As one of the core elements in the cryosphere, glacier is the natural indicator of climate change. By monitoring the changes in glaciers, we can understand the local or global climate change, and the technology of Unmanned Aerial Vehicle (UAV) is an important method for monitoring and studying glaciers today. In this paper, we choose Baishui River Glacier No.1 in Yulong Snow Mountains as the study region. The orthographic image with the resolution of 0.09 m in the terminus of the glaciers and the digital surface model (DSM) were produced by utilizing low-flying of UAV. Comparing the orthophotos with Gaofen No.1 (GF-1) Image and Pléiade resampled image provided by Google Earth, the result presented that UAV orthophotos had a good match with the images of GF-1 and Pléiade product in space. The UAV image with high spatial resolution can accurately express the characteristics of glacier surface and some microtopography. At the same time, the digital surface model (DSM) derived from UAV survey was more exquisite and accurate in terms of the glacier surface topography, with the spatial resolution of 0.09 m. In addition, the front position of Baishui River Glacier No.1 retreated 646.27 m±12.04 m during the period of 1957 - 2018 based on this test of UAV survey and historical satellite remote sensing data. In general, UAV has significant advantages in the process of conducting photogrammetry in terms of those glacier environments, including complex terrain, cloud weather, and difficult manual observation. Besides, the on-the-spot verification of UAV survey at the end of the glacier will provide a reference for the next step in the monitoring and calculation of the mass balance of glaciers.
Keywords:Unmanned Aerial Vehicle (UAV)  glacier  orthophoto  digital surface model (DSM)  
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