基于无人机影像的冰面流速与高程变化提取方法

doi:10.11821/dlxb202105015

地理学报 ›› 2021, Vol. 76 ›› Issue (5): 1245-1256.doi: 10.11821/dlxb202105015

基于无人机影像的冰面流速与高程变化提取方法

符茵¹(), 刘巧², 刘国祥¹^,³, 张波¹, 蔡嘉伦¹, 王晓文¹^,³, 张瑞¹^,³()

1.西南交通大学地球科学与环境工程学院,成都 611756
2.中国科学院、水利部成都山地灾害与环境研究所,成都 610041
3.高速铁路运营安全空间信息技术国家地方联合工程实验室,成都 611756

收稿日期:2019-12-20 修回日期:2020-11-20 出版日期:2021-05-25 发布日期:2021-07-25
通讯作者: 张瑞(1983-), 男, 河南驻马店人, 博士, 副教授, 研究方向为星载合成孔径雷达干涉时序建模与地表形变反演。E-mail: zhangrui@swjtu.edu.cn
作者简介:符茵(1994-), 女, 河南信阳人, 博士生, 研究方向为遥感图像处理与分析。E-mail: rsyinfu@my.swjtu.edu.cn
基金资助:
国家重点研发计划(2017YFB0502700);国家自然科学基金项目(41771402);国家自然科学基金项目(41871069);国家自然科学基金项目(41804009);中国铁路总公司科技研究开发计划(P2018G004);四川省科技计划(2018JY0564)

Monitoring glacier surface velocity and ablation using high-resolution UAV imagery

FU Yin¹(), LIU Qiao², LIU Guoxiang¹^,³, ZHANG Bo¹, CAI Jialun¹, WANG Xiaowen¹^,³, ZHANG Rui¹^,³()

1. Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 611756, China
2. Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, China
3. State-Province Joint Engineering Laboratory of Spatial Information Technology of High-Speed Rail Safety, Chengdu 611756, China

Received:2019-12-20 Revised:2020-11-20 Published:2021-05-25 Online:2021-07-25
Supported by:
National Key R&D Program of China(2017YFB0502700);National Natural Science Foundation of China(41771402);National Natural Science Foundation of China(41871069);National Natural Science Foundation of China(41804009);Technology Research and Development Program of China Railway Corporation(P2018G004);Science and Technology Program of Sichuan Province(2018JY0564)

摘要/Abstract

摘要：

无人机遥感能够获取高精度、高分辨率的冰川表面三维形态,有助于揭示冰川的运动和消融变化,现已成为冰川变化监测的重要技术支撑。针对无人机高分辨率影像能够有效识别表碛覆盖型冰川表面细节特征点的优势,本文引入金字塔影像集和最小二乘匹配方法联合开展特征点的追踪,用以实现冰川表面特征点三维位移场提取和动态变化分析。以贡嘎山贡巴冰川冰舌区作为典型研究区域,利用高分辨率无人机影像生成消融期前后（2018年6月9日和10月17日）的正射影像数据和数字表面模型,基于2期正射影像提取冰川表面特征点并实施追踪以获得三维位移场,在此基础上初步探明贡巴冰川冰舌段表面位移速率最大为7.51 cm/d,垂向消融速率超过11 cm/d。本文相关研究数据和结果可为冰川及复杂地形山区地质灾害的监测提供参考。

关键词: 无人机, 最小二乘匹配, 金字塔影像, 贡巴冰川, 冰川消融

Abstract:

Unmanned Aerial Vehicle (UAV) has been developed to obtain high-precision, high-resolution and three-dimensional (3D) dynamic of glacier surface, which is helpful for revealing the movement and melting of glaciers, so it has become an important technology for glaciology researches. Because the high-resolution image data can be used to effectively identify the detailed features on the surface of the debris-covered glaciers, this study employed the pyramid image set combined with the least square matching (LSM) method to track the feature points of 3D displacement field. We acquired digital orthophoto map (DOM) and digital surface model (DSM) by UAV mapping at the lower part of Gongba Glacier, Mt. Gongga, on June 9 and October 17, 2018. Feature points were extracted and tracked to obtain a 3D glacier surface displacement field, which suggests that the mean surface displacement velocity was 7.51 cm/d and the ablation was over 11 cm/d at the glacier tongue. This study provides effective reference for monitoring glaciers and glacial related hazards in steep terrain regions and unreachable mountainous areas.

Key words: UAV, LSM, pyramid image, Gongba Glacier, glacier ablation

符茵, 刘巧, 刘国祥, 张波, 蔡嘉伦, 王晓文, 张瑞. 基于无人机影像的冰面流速与高程变化提取方法[J]. 地理学报, 2021, 76(5): 1245-1256.

FU Yin, LIU Qiao, LIU Guoxiang, ZHANG Bo, CAI Jialun, WANG Xiaowen, ZHANG Rui. Monitoring glacier surface velocity and ablation using high-resolution UAV imagery[J]. Acta Geographica Sinica, 2021, 76(5): 1245-1256.

图/表 12

图1

图2

图3

图4

表1

图5

图6

图7

图8

图9

图10

图11

参考文献 31

[1]	IPCC. Climate Change 2013: The Physical Science Basis, Working Group I Contribution to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Geneva: Cambridge University Press.
[2]	Liu Shiyin, Yao Xiaojun, Guo Wanqin, et al. The contemporary glaciers in China based on the Second Chinese Glacier Inventory. Acta Geographica Sinica, 2015,70(1):3-16.
	[ 刘时银, 姚晓军, 郭万钦, 等. 基于第二次冰川编目的中国冰川现状. 地理学报, 2015,70(1):3-16.]
[3]	Yao T D, Thompson L, Yang W, et al. Different glacier status with atmospheric circulations in Tibetan Plateau and surroundings. Nature Climate Change, 2012,2(9):663-667. doi: 10.1038/nclimate1580
[4]	Zhang Y, Hirabayashi Y, Liu S Y. Catchment-scale reconstruction of glacier mass balance using observations and global climate data: Case study of the Hailuogou catchment, south-eastern Tibetan Plateau. Journal of Hydrology, 2012,444/445:146-160. doi: 10.1016/j.jhydrol.2012.04.014
[5]	Yang W, Yao T D, Guo X F, et al. Mass balance of a maritime glacier on the southeast Tibetan Plateau and its climatic sensitivity. Journal of Geophysical Research: Atmospheres, 2013,118(17):9579-9594. doi: 10.1002/jgrd.50760
[6]	Zhu M, Yao T, Yang W, et al. Differences in mass balance behavior for three glaciers from different climatic regions on the Tibetan Plateau. Climate Dynamics, 2018,50(9/10):3457-3484. doi: 10.1007/s00382-017-3817-4
[7]	Brun F, Berthier E, Wagnon P, et al. A spatially resolved estimate of High Mountain Asia glacier mass balances from 2000 to 2016. Nature Geoscience, 2017,10(9):668-673. doi: 10.1038/ngeo2999
[8]	Bolch T, Kulkarni A, Kääb A, et al. The state and fate of Himalayan glaciers. Science, 2012,336(6079):310-314. doi: 10.1126/science.1215828
[9]	Altena B, Scambos T, Fahnestock M, et al. Extracting recent short-term glacier velocity evolution over southern Alaska and the Yukon from a large collection of Landsat data. The Cryosphere, 2019,13(3):795-814. doi: 10.5194/tc-13-795-2019
[10]	Scherler D, Leprince S, Strecker M R. Glacier-surface velocities in alpine terrain from optical satellite imagery:Accuracy improvement and quality assessment. Remote Sensing of Environment, 2008,112(10):3806-3819. doi: 10.1016/j.rse.2008.05.018
[11]	Dehecq A, Gourmelen N, Trouvé E. Deriving large-scale glacier velocities from a complete satellite archive: Application to the Pamir-Karakoram-Himalaya. Remote Sensing of Environment, 2015,162:55-66. doi: 10.1016/j.rse.2015.01.031
[12]	Liu Guoxiang, Zhang Bo, Zhang Rui, et al. Monitoring dynamics of Hailuogou Glacier and the secondary landslide disasters based on combination of satellite SAR and ground-based SAR. Geomatics and Information Science of Wuhan University, 2019,44(7):980-995.
	[ 刘国祥, 张波, 张瑞, 等. 联合卫星SAR和地基SAR的海螺沟冰川动态变化及次生滑坡灾害监测. 武汉大学学报: 信息科学版, 2019,44(7):980-995.]
[13]	Bhardwaj A, Sam L, Martín-Torres F J, et al. UAVs as remote sensing platform in glaciology: Present applications and future prospects. Remote Sensing of Environment, 2016,175:196-204. doi: 10.1016/j.rse.2015.12.029
[14]	Hugenholtz C H, Whitehead K, Brown O W, et al. Geomorphological mapping with a small unmanned aircraft system (sUAS): Feature detection and accuracy assessment of a photogrammetrically-derived digital terrain model. Geomorphology, 2013,194:16-24. doi: 10.1016/j.geomorph.2013.03.023
[15]	Benoit L, Gourdon A, Vallat R, et al. A high-resolution image time series of the Gorner Glacier-Swiss Alps-derived from repeated unmanned aerial vehicle surveys. Earth System Science Data, 2019,11(2):579-588. doi: 10.5194/essd-11-579-2019
[16]	Wigmore O, Mark B G. Monitoring tropical debris-covered glacier dynamics from high-resolution unmanned aerial vehicle photogrammetry, Cordillera Blanca, Peru. The Cryosphere, 2017,11:2463-2480. doi: 10.5194/tc-11-2463-2017
[17]	Dall'Asta E, Forlani G, Roncella R, et al. Unmanned aerial systems and DSM matching for rock glacier monitoring. ISPRS Journal of Photogrammetry and Remote Sensing, 2017,127:102-114. doi: 10.1016/j.isprsjprs.2016.10.003
[18]	Ye Y X, Bruzzone L, Shan J, et al. Fast and robust matching for multimodal remote sensing image registration. IEEE Transactions on Geoscience and Remote Sensing, 2019,57(11):9059-9070. doi: 10.1109/TGRS.36
[19]	Harris C G, Stephens M. A combined corner and edge detector. Manchester: Proceedings of Fourth Alvey Vision Conference, 1988.
[20]	Toet A, van Ruyven L J, Valeton J M. Merging thermal and visual images by a contrast pyramid. Optical Engineering, 1989,28(7):287789. DOI: 10.1117/12.7977034.
[21]	Gruen A. Adaptive least squares correlation: A powerful image matching technique. South African Journal of Photogrammetry,Remote Sensing and Cartography, 1985,14(3):175-187.
[22]	Su Zhen, Shi Yafeng, Zheng Benxing. Quaternary glacial remains on the Gongga Mountain and the division of glacial period. Advance in Earth Sciences, 2002,17(5):639-647.
	[ 苏珍, 施雅风, 郑本兴. 贡嘎山第四纪冰川遗迹及冰期划分. 地球科学进展, 2002,17(5):639-647.]
[23]	Zhang Ningning, He Yuanqing, Duan Keqin, et al. Changes of Gongba Glacier in the west slope of Mt. Gongga during the past 25 years. Journal of Glaciology and Geocryology, 2008,30(3):380-382.
	[ 张宁宁, 何元庆, 段克勤, 等. 贡嘎山西坡贡巴冰川25a的变化情况, 冰川冻土, 2008,30(3):380-382.]
[24]	Zhang Bo, Zhang Rui, Liu Guoxiang, et al. Monitoring of interannual variabilities and outburst regularities analysis of glacial lakes at the end of Gongba Glacier utilizing SAR images. Geomatics and Information Science of Wuhan University, 2019,44(7):1054-1064.
	[ 张波, 张瑞, 刘国祥, 等. 基于SAR影像的贡巴冰川末端冰湖年际变化监测及溃决规律分析. 武汉大学学报(信息科学版), 2019,44(7):1054-1064.]
[25]	Zhang Guoliang. The study of glacier changes in the Gongga Mountains[D]. Lanzhou: Lanzhou University, 2012.
	[ 张国梁. 贡嘎山地区现代冰川变化研究[D]. 兰州: 兰州大学, 2012.]
[26]	Liu Qiao, Liu Shiyin, Zhang Yong, et al. Surface ablation features and recent variation of the lower ablation area of the Hailuogou Glacier, Mt. Gongga. Journal of Glaciology and Geocryology, 2011,33(2):227-236.
	[ 刘巧, 刘时银, 张勇, 等. 贡嘎山海螺沟冰川消融区表面消融特征及其近期变化. 冰川冻土, 2011,33(2):227-236.]
[27]	Li Jijun, Su Zhen. Glaciers in Hengduan Mountains. Beijing:Science Press, 1996.
	[ 李吉均, 苏珍. 横断山冰川. 北京:科学出版社, 1996.]
[28]	Cao Zhentang. The hydrologic characteristics of the Gongba Glacier in the Mount Gongga area. Journal of Glaciology and Geocryology, 1988,10(1):57-65.
	[ 曹真堂. 贡嘎山贡巴冰川水文特征. 冰川冻土, 1988,10(1):57-65.]
[29]	Liu Qiao, Zhang Yong. Studies on the dynamics of monsoonal temperate glaciers in Mt. Gongga: A review. Mountain Research, 2017,35(5):717-726.
	[ 刘巧, 张勇. 贡嘎山海洋型冰川监测与研究: 历史、现状与展望. 山地学报, 2017,35(5):717-726.]
[30]	Su Zhen, Song Guoping, Cao Zhentang. Maritime characteristics of Hailuogou Glacier in the Gongga Mountains. Journal of Glaciology and Geocryology, 1996,18(Suppl.1) : 51-59.
	[ 苏珍, 宋国平, 曹真堂. 贡嘎山海螺沟冰川的海洋性特征. 冰川冻土, 1996,18(Suppl.1):51-59.]
[31]	Kraaijenbrink P, Meijer S W, Shea J M, et al. Seasonal surface velocities of a Himalayan glacier derived by automated correlation of unmanned aerial vehicle imagery. Annals of Glaciology, 2016,57(71):103-113. doi: 10.3189/2016AoG71A072

参数	2018-06-09	2018-10-17
获取图像数量	1727	2241
使用图像数量	1725	2148
照片尺寸(pixels)	5472×3648	5472×3648
传感器尺寸(mm)	12.8×8.6	12.8×8.6
飞行高度(m)	300~350	300~350
空间分辨率(cm/pixel)	7.38	5.99
覆盖面积(km²)	15.308	8.875

基于无人机影像的冰面流速与高程变化提取方法

Monitoring glacier surface velocity and ablation using high-resolution UAV imagery

RichHTML

PDF (PC)

赞

可视化

摘要/Abstract

引用本文

使用本文

图/表 12

参考文献 31

相关文章 3

Metrics

本文评价

[1]	徐晨晨, 叶虎平, 岳焕印, 谭翔, 廖小罕. 城镇化区域无人机低空航路网迭代构建的理论体系与技术路径[J]. 地理学报, 2020, 75(5): 917-930.
[2]	赵长森,潘旭,杨胜天,刘昌明,陈新,张含明,潘天力. 低空遥感无人机影像反演河道流量[J]. 地理学报, 2019, 74(7): 1392-1408.
[3]	康尔泗, Atsumu Ohmura. 天山冰川消融参数化能量平衡模型[J]. 地理学报, 1994, 49(5): 467-476.