利用OICC-SBAS技术提取岗普冰川表面流速时空变化特征

doi:10.13474/j.cnki.11-2246.2023.0270

摘要/Abstract

摘要： 本文利用Sentinel-2数据,通过光学影像互相关技术(OICC),并借鉴小基线集(SBAS)思路,提取并分析了岗普冰川2015—2022年时序表面运动速度及时空变化特征。结果表明:岗普冰川表面流速存在明显的空间差异性,流速高值主要集中在上游的物质积累区,该区域形变特征复杂,年最高流速为82.5 m/a;冰川主体流速整体波动较小,位于40～50 m/a之间;时间特征上,冰川在研究时段内流速较为稳定,年际之间流速相差不大;利用东西向和南北向偏移量获取的最终偏移方向,与冰川实际流动方向相符,选取的稳定区域的偏移量误差仅占冰川最大流速的0.04%～0.7%,证实了冰川时序表面流速结果的可靠性。

关键词: 光学影像互相关技术, 冰川表面流速, 时序偏移量, 岗普冰川

Abstract: In this paper, we use Sentinel-2 data to extract and analyze time-series surface motion velocities and spatial-temporal variability characteristics of Gangpu Glacier from 2015 to 2022 using optical imagery cross-correlation technology (OICC) and small baseline subset (SBAS). The results show that there are obvious spatial differences in the surface flow velocity of Gangpu Glacier, and the high values of flow velocity are mainly concentrated in the upstream material accumulation area, which has complex deformation characteristics, with the annual maximum flow velocity of 82.5 m/a. The overall fluctuation of the flow velocity in the main body of the glacier is small, mainly between 40 and 50 m/a. In terms of temporal characteristics, the flow velocity of Gangpu Glacier is relatively stable during the study period, with little difference in flow velocity between years. Meanwhile, the final offset directions obtained using the east-west and north-south offsets are consistent with the actual flow direction of the glacier, and the offset errors in the selected stabilization region only account for 0.04% to 0.7% of the maximum flow velocity of the glacier, which confirms the reliability of the results of the glacier time-series surface flow velocity.

Key words: optical imagery cross-correlation, glacial surface velocity, time-series deformation, Gangpu glacier

中图分类号:

P237

欧海沨, 字城岱, 滕兴发, 关舒丹. 利用OICC-SBAS技术提取岗普冰川表面流速时空变化特征[J]. 测绘通报, 2023, 0(9): 87-92.

OU Haifeng, ZI Chengdai, TENG Xingfa, GUAN Shudan. Temporal-spatial characteristics of surface velocity of the Gangpu glacier based on OICC-SBAS technology[J]. Bulletin of Surveying and Mapping, 2023, 0(9): 87-92.

参考文献

[1] BOLCH T,KULKARNI A,KÄÄB A,et al. The state and fate of Himalayan glaciers[J]. Science,2012,336(6079):310-314.
[2] YAO Tandong,THOMPSON L,YANG Wei,et al. Different glacier status with atmospheric circulations in Tibetan Plateau and surroundings[J]. Nature Climate Change,2012,2(9):663-667.
[3] 丁光熙,陈彩萍,谢昌卫,等. 西天山托木尔峰南麓大型山谷冰川冰舌区消融特征分析[J]. 冰川冻土,2014,36(1):20-29.
[4] 王坤,井哲帆,吴玉伟,等. 祁连山七一冰川表面运动特征最新观测研究[J]. 冰川冻土,2014,36(3):537-545.
[5] 许君利,张世强,韩海东,等. 天山托木尔峰科其喀尔巴西冰川表面运动速度特征分析[J]. 冰川冻土,2011,33(2):268-275.
[6] SHANGGUAN D H,BOLCH T,DING Y J,et al. Mass changes of Southern and Northern Inylchek Glacier,Central Tian Shan,Kyrgyzstan,during~1975 and 2007 derived from remote sensing data[J]. The Cryosphere,2015,9(2):703-717.
[7] STROZZI T,KÄÄB A,FRAUENFELDER R. Detecting and quantifying mountain permafrost creep fromin situinventory,space-borne radar interferometry and airborne digital photogrammetry[J]. International Journal of Remote Sensing,2004,25(15):2919-2931.
[8] PATTYN F,DERAUW D.Ice-dynamic conditions of Shirase Glacier,Antarctica,inferred from ERS SAR interferometry[J].Journal of Glaciology,2002,48(163):559-565.
[9] GOMEZ R,ARIGONY-NETO J,DE SANTIS A,et al.Ice dynamics of union glacier from SAR offset tracking[J].Global and Planetary Change,2019,174:1-15.
[10] VIJAY S,KHAN S A,KUSK A,et al.Resolving seasonal ice velocity of 45 Greenlandic glaciers with very high temporal details[J].Geophysical Research Letters,2019,46(3):1485-1495.
[11] ARMSTRONG W H,ANDERSON R S,ALLEN J,et al.Modeling the WorldView-derived seasonal velocity evolution of Kennicott Glacier,Alaska[J].Journal of Glaciology,2016,62(234):763-777.
[12] WILSON R,MERNILD S H,MALMROS J K,et al.Surface velocity fluctuations for Glaciar Universidad,central Chile,between 1967 and 2015[J].Journal of Glaciology,2016,62(235):847-860.
[13] DING Chao,ZHANG Lu,LIAO Mingsheng,et al.Quantifying the spatio-temporal patterns of dune migration near Minqin Oasis in northwestern China with time series of Landsat-8 and Sentinel-2 observations[J].Remote Sensing of Environment,2020,236:111498.
[14] ALI E,XU Wenbin,DING Xiaoli.Improved optical image matching time series inversion approach for monitoring dune migration in North Sinai Sand Sea:algorithm procedure,application,and validation[J].ISPRS Journal of Photogrammetry and Remote Sensing,2020,164:106-124.
[15] 贺礼家,冯光财,冯志雄,等.哨兵-2号光学影像地表形变监测:以2016年M_W7.8新西兰凯库拉地震为例[J].测绘学报,2019,48(3):339-351.
[16] QI Wenwen,YANG Wentao,HE Xiangli,et al.Detecting Chamoli landslide precursors in the southern Himalayas using remote sensing data[J].Landslides,2021,18(10):3449-3456.
[17] NECSOIU M,LEPRINCE S,HOOPER D M,et al.Monitoring migration rates of an active subarctic dune field using optical imagery[J].Remote Sensing of Environment,2009,113(11):2441-2447.