Characterization of Kyagar Glacier and Lake Outburst Floods in 2018 Based on Time-Series Sentinel-1A Data

被引:22
|
作者
Zhang, Meimei [1 ]
Chen, Fang [1 ,2 ,3 ]
Tian, Bangsen [1 ]
Liang, Dong [1 ,2 ]
Yang, Aqiang [1 ]
机构
[1] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, 9 Dengzhuang South Rd, Beijing 100094, Peoples R China
[2] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
[3] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Hainan Key Lab Earth Observat, Sanya 572029, Peoples R China
基金
国家重点研发计划; 中国国家自然科学基金;
关键词
glacier velocity; ice-dammed lakes; outburst flood; interferometry; Kyagar; SURGE DYNAMICS; KARAKORAM; HAZARDS; MODEL; INTERFEROMETRY; HETEROGENEITY; MOUNTAINS; HIMALAYAS; EROSION; MOTION;
D O I
10.3390/w12010184
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Early recognition of glacial lake outburst floods (GLOFs) is required for timely and cost-effective remedial efforts to be implemented. Although the formation of ice-dammed lakes is known to begin as a pond or river that was blocked by ice from the glacier terminus, the relationship between glacier dynamics and lake development is not well understood. Using a time-series of Sentinel-1A synthetic aperture radar (SAR) data acquired just before and after the lake outburst event in 2018, information is presented on the dynamic characteristics of Kyagar Glacier and its ice-dammed lake. Glacier velocity data derived from interferometry show that the glacier tongue experienced an accelerated advance (maximum velocity of 20 cm/day) just one month before the lake outburst, and a decreased velocity (maximum of 13 cm/day) afterward. Interferometric and backscattering properties of this region provide valuable insight into the diverse glaciated environment. Furthermore, daily temperature and total precipitation data derived from the ECMWF re-analysis (ERA)Interim highlight the importance of the sustained high-temperature driving force, supporting empirical observations from previous studies. The spatial and temporal resolution offered by the Sentinel-1A data allows variations in the glacier surface motion and lake evolution to be detected, meaning that the interaction mechanism between the glacial lake and the associated glacier can be explored. Although the glacier surge provided the boundary conditions favorable for lake formation, the short-term high temperatures and precipitation caused the melting of ice dams and also a rapid increase in the amount of water stored, which accelerated the potential for a lake outburst.
引用
收藏
页数:16
相关论文
共 50 条
  • [21] Time-series surface velocity extraction of Petermann Glacier based on Sentinel-1 pixel offset-tracking and iterative SVD
    Ju Q.
    Li G.
    Li C.
    Feng X.
    Chen X.
    Yang Z.
    Chen Z.
    National Remote Sensing Bulletin, 2024, 28 (06) : 1453 - 1464
  • [22] Crop growth monitoring through Sentinel and Landsat data based NDVI time-series
    Boori, M. S.
    Choudhary, K.
    Kupriyanov, A., V
    COMPUTER OPTICS, 2020, 44 (03) : 409 - 419
  • [23] Time-series classification of Sentinel-1 agricultural data over North Dakota
    Whelen, Tracy
    Siqueira, Paul
    REMOTE SENSING LETTERS, 2018, 9 (05) : 411 - 420
  • [24] Time-Series Prediction Approaches to Forecasting Deformation in Sentinel-1 InSAR Data
    Hill, P.
    Biggs, J.
    Ponce-Lopez, V.
    Bull, D.
    JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH, 2021, 126 (03)
  • [25] Evaluation of the Performance of Time-Series Sentinel-1 Data for Discriminating Rock Units
    Lu, Yi
    Yang, Changbao
    Jiang, Qigang
    REMOTE SENSING, 2021, 13 (23)
  • [26] Time-series co-registration for Sentinel-1 TOPS SAR Data
    Ma Z.
    Jiang M.
    Ding Q.
    Cehui Xuebao/Acta Geodaetica et Cartographica Sinica, 2021, 50 (05): : 634 - 640
  • [27] Deformation Feature Analysis of Qinghai-Tibet Railway Using TerraSAR-X and Sentinel-1A Time-Series Interferometry
    Zhang, Zhengjia
    Wang, Mengmeng
    Liu, Xiuguo
    Wang, Chao
    Zhang, Hong
    Tang, Yixian
    Zhang, Bo
    IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2019, 12 (12) : 5199 - 5212
  • [28] Estimation of winter wheat yield from sentinel-1A time-series images using ensemble deep learning and a Gaussian process
    Li, Qian
    Lu, Jing
    Zhao, Jianhui
    Yang, Huijin
    Li, Ning
    REMOTE SENSING LETTERS, 2024, 15 (08) : 828 - 837
  • [29] Extraction and Mitigation of Radio Frequency Interference Artifacts Based on Time-Series Sentinel-1 SAR Data
    Tao, Mingliang
    Lai, Siqi
    Li, Jieshuang
    Su, Jia
    Fan, Yifei
    Wang, Ling
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 60
  • [30] Summer Maize Mapping by Compositing Time Series Sentinel-1A Imagery Based on Crop Growth Cycles
    Tian, Haifeng
    Qin, Yaochen
    Niu, Zheng
    Wang, Li
    Ge, Shishuai
    JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING, 2021, 49 (11) : 2863 - 2874