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Monitoring interannual variations in ice conditions of Lake Kulinda in April based on Landsat-8 and Landsat-9 time-series imagery

https://doi.org/10.21285/2686-9993-2026-49-2-4

EDN: RWHVLN

Abstract

The ice conditions of lakes serve as an indicator of regional climate change. This study focuses on Lake Kulinda, located at the northern end of Lake Baikal, Russia. The study analyzes the patterns of ice melting in this lake in April 2019, 2021, 2023, and 2025, and identifies the factors influencing the evolution of ice lakes in this region using Landsat-8 and Landsat-9 remote sensing data and GIS analysis tools. The results show that between 2019 and 2025, the ice cover of Lake Kulinda decreased from 9.17 km² to 8.86 km², resulting in a total reduction of 0.31 km² with an average annual decrease of 0.05 km². The rate of ice melting initially increased and then decreased. The largest annual reduction was observed in the period 2021–2023 (0.08 km²), while in the period 2023–2025 the rate slowed down (0.04 km²), which indicates a slowdown in the dynamics of the lake’s ice cover. The retreat of the ice cover occurred along the coastal zones, especially in the southeastern and northwestern parts, while the central part remained covered with ice. The boundary between ice and open water gradually shifted towards the center of the lake every year. Changes in the area of the ice cover are associated with the warming climate of the region. The phases of rapid melting in 2021–2023 coincided with the statistical spring warming, and the subsequent slowdown is related to the nonlinear interaction between natural climate fluctuations and the dynamics of the ice cover. This indicates the adaptive capabilities and self-regulation of the lake’s ice cover. The research results can be used in monitoring the phenological state of the ice cover formation in the lakes of the Northern Baikal region, which will contribute to a better understanding of climate change in the region.

About the Authors

M. Gu
Henan Polytechnic University
China

Mengyao Gu, Student, Master of Surveying and Mapping Engineering, School of Surveying and Land Information Engineering

Jiaozuo


Competing Interests:

The authors declare no conflict of interests.



X. Meng
Henan Polytechnic University
China

Xiangyu Meng, Student, Master of Surveying and Mapping Engineering, School of Surveying and Land Information Engineering

Jiaozuo


Competing Interests:

The authors declare no conflict of interests.



V. M. Zhulikov
Irkutsk National Research Technical University
Russian Federation

Vladimir M. Zhulikov, Student, Baikal School of BRICS

Irkutsk


Competing Interests:

The authors declare no conflict of interests.



V. L. Ruposov
Irkutsk National Research Technical University
Russian Federation

Vitaliy L. Ruposov, Cand. Sci. (Geol. & Mineral.), Associate Professor, Associate Professor of the Department of Mine Surveying and Geodesy, Institute of Subsoil Use

Irkutsk


Competing Interests:

The authors declare no conflict of interests.



References

1. Frey H., Haeberli W., Linsbauer A., Huggel C., Paul F. A multi-level strategy for anticipating future glacier lake formation and associated hazard potentials. Natural Hazards and Earth System Sciences. 2010;10(2):339-352. https://doi.org/10.5194/nhess-10-339-2010.

2. Lützow N., Veh G., Korup O. A global database of historic glacier lake outburst floods. Earth System Science Data. 2023;15(7):2983-3000. https://doi.org/10.5194/essd-15-2983-2023.

3. Yan B., Jia H., Ren W., Wu R., Huang X. Glacier lake extraction and variation analysis of the Bujiagangri glacier based on the NDWI-NDSI combination threshold method. National Remote Sensing Bulletin. 2022;26(11):2344-2353. https://doi.org/10.11834/jrs.20210205.

4. Luo Z., Liu K., Zhang C., Deng X., Ma R., Song C. Progress of the DEM application for studying lake hydrologic dynamics. Journal of Geo-Information Science. 2020;22(7):1510-1521. https://doi.org/10.12082/dqxxkx.2020.190538.

5. Zhang C., Yao X., Li S., Liu L., Sha Te., Zhang Yu. Glacier change in the west Kunlun main peak area from 2000 to 2020. Remote Sensing. 2023;15(17):4236. https://doi.org/10.3390/rs15174236.

6. Mergili M., Pudasaini S.P., Emmer A., Fischer J.-T., Cochachin A., Frey H. Reconstruction of the 1941 GLOF process chain at Lake Palcacocha (Cordillera Blanca, Peru). Hydrology and Earth System Sciences. 2020;24(1):93-114. https://doi.org/10.5194/hess-24-93-2020.

7. Wang Q., Wang X., Lei D. The interaction mechanisms between mountain glacier evolution and glacial lake development. Journal of Glaciology and Geocryology. 2022;44(3):1041-1052. https://doi.org/10.7522/j.issn.1000-0240.2022.0097.

8. Zhang T., Wang W., Gao T., An B., Shang X. Glacial lake outburst floods on the High Mountain Asia: a review. Journal of Glaciology and Geocryology. 2021;43(6):1673-1692. (In Chinese). https://doi.org/10.7522/j.issn.1000-0240.2021.0066.

9. Main B., Copland L., Smeda B., Kochtitzky W., Samsonov S., Dudley J., et al. Terminus change of Kaskawulsh Glacier, Yukon, under a warming climate: retreat, thinning, slowdown and modified proglacial lake geometry. Journal of Glaciology. 2023;69(276):936-952. https://doi.org/10.1017/jog.2022.114.

10. Lavrova O.Yu., Mityagina M.I., Kostianoy A.G. Ice conditions in the Kerch strait in the current century. Retrospective analysis based on satellite data. Current Problems in Remote Sensing of the Earth from Space. 2017;14(2):148-166. (In Russ.). https://doi.org/10.21046/2070-7401-2017-14-2-148-166. EDN: YRFDKF.

11. Higuchi Y., Setoyama D., Isegawa K., Tsuchikawa Y., Matsumoto Y., Parker J.D., et al. Pulsed neutron imaging for differentiation of ice and liquid water towards fuel cell vehicle applications. Physical Chemistry Chemical Physics. 2021;23(2):1062-1071. https://doi.org/10.1039/d0cp03887c.

12. Zhao F., Long D., Li X., Huang Q., Han P. Rapid glacier mass loss in the Southeastern Tibetan Plateau since the year 2000 from satellite observations. Remote Sensing of Environment. 2022;270:112853. https://doi.org/10.1016/j.rse.2021.112853.

13. Qayyum N., Ghuffar S., Ahmad H., Yousaf A., Shahid I. Glacial lakes mapping using multi satellite PlanetScope imagery and deep learning. ISPRS International Journal of Geo-Information. 2020;9(10):560. https://doi.org/10.3390/ijgi9100560.

14. Suhacheva L.L., Drabkin V.V., Ivanov V.V. Monitoring results of ice conditions in the Gulf of Finland, Neva Bay and in the area of the protective structures complex in the period 2011–2012. Meteorologicheskii vestnik. 2013;5(1):31-52. (In Russ.). EDN: QBCTUL.

15. Koliy V.M., Agafonova S.A. The possibilities of using satellite data for the study of the ice cover of rivers. In: The third Vinogradov readings. Facets of Hydrology: collected reports of the International scientific conference in memory of the outstanding Russian hydrologist Yuri Borisovich Vinogradov. 28–30 March 2018, St. Petersburg. St. Petersburg: Naukoemkie tekhnologii; 2018, р. 48-52. (In Russ.). EDN: UVJVWG.

16. Wang Z.Y., Wu Y., Chang J., Zhang X., Peng D. Temporal and spatial variation of lake ice phenology and its influencing factors in the Tibetan Plateau. Journal of Beijing University of Technology. 2017;43(5):701-709. https://doi.org/10.11936/bjutxb2016090032.

17. Qi M., Yao X., Li X., Duan H. Spatiotemporal characteristics of Qinghai Lake ice phenology between 2000 and 2016. Journal of Geographical Sciences. 2019;29(1):115-130. https://doi.org/10.1007/s11442-019-1590-5.

18. Wangchuk S, Bolch T. Mapping of glacial lakes using Sentinel-1 and Sentinel-2 data and a random forest classifier: strengths and challenges. Science of Remote Sensing. 2020;2:100008. https://doi.org/10.1016/j.srs.2020.100008.

19. Hu C., Lee Z., Franz B. Chlorophyll a algorithms for oligotrophic oceans: a novel approach based on three-band reflectance difference. Journal of Geophysical Research: Oceans. 2011;117(C1):С01011. https://doi.org/10.1029/2011JC007395.

20. Yang C., Wang X., Wei J., Zhang Y., Tang Z., Liu Q., et al. Chinese glacial lake inventory based on 3S technology method. Acta Geographica Sinica. 2019;74(3):544-556. https://doi.org/10.11821/dlxb201903011.

21. Boczoń A., Kowalska A., Stolarek A. The impact of climate change on the high water levels of a small river in Central Europe based on 50-year measurements. Forests. 2020;11(12):1269. https://doi.org/10.3390/f11121269.

22. Shrestha F., Steiner Ja.F., Shrestha R., Dhungel Ya., Joshi Sh.P., Inglis S., et al. A comprehensive and version-controlled database of glacial lake outburst floods in High Mountain Asia. Earth System Science Data. 2023;15(9):3941-3961. https://doi.org/10.5194/essd-15-3941-2023.

23. Luo S., Song C., Zhan P., Fan C., Liu K., Chen T., et al. Satellite laser altimetry reveals a net water mass gain in global lakes with spatial heterogeneity in the early 21st century. Geophysical Research Letters. 2022;49(3):e2021GL096676. https://doi.org/10.1029/2021GL096676.


Review

For citations:


Gu M., Meng X., Zhulikov V.M., Ruposov V.L. Monitoring interannual variations in ice conditions of Lake Kulinda in April based on Landsat-8 and Landsat-9 time-series imagery. Earth sciences and subsoil use. https://doi.org/10.21285/2686-9993-2026-49-2-4. EDN: RWHVLN

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ISSN 2686-9993 (Print)
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