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Article

Multi-Sensor Analysis of Predicted and Observed Glacier Instabilities in the Hissar–Alay of Central Asia

1
Department of Geosciences, University of Fribourg, 1700 Fribourg, Switzerland
2
Department of Earth Sciences and Remote Sensing, JIS University, Kolkata 700109, India
3
Centre for Data Science, JIS Institute of Advanced Studies & Research, Kolkata 700109, India
4
Department of Space Science, Institute of Space Technology, Islamabad 44000, Pakistan
*
Author to whom correspondence should be addressed.
Remote Sens. 2026, 18(5), 699; https://doi.org/10.3390/rs18050699
Submission received: 17 January 2026 / Revised: 20 February 2026 / Accepted: 24 February 2026 / Published: 26 February 2026
(This article belongs to the Section Environmental Remote Sensing)

Abstract

Surge-like glacier instabilities in Central Asia remain underexplored, particularly in regions of mild instability or smaller glaciers. In 1980, two leading Soviet glaciologists proposed a classification method (GS1980) to calculate the spatial distribution of “pulsating” glaciers in the Hissar–Alay range, predicting a 20% prevalence of unstable flow and claiming highly accurate detection. These findings were unconfirmed in subsequent studies, which typically reported fewer than 10 surge-type glaciers in the region. Here, we address this discrepancy by reassessing the GS1980 predictions using a newly compiled multi-sensor satellite dataset covering nearly six decades. We systematically examine glacier dynamics in the region, assessing ice flow instabilities from changes in terminus position, ice thickness, and surface morphology. We identify 171 glaciers that exhibit pulsating behavior, corresponding to 25% of the sample—in broad agreement with GS1980. Flow instabilities tend to be modest in scale, with slow advances and long active phases (mean duration of 14 years). We find that the GS1980 model shows some ability to distinguish pulsating from stable-flowing glaciers; however, its predictive power is lower than claimed due to the simplifying assumptions of its morphology-based approach and the uncertainties in the input data. Our results indicate that pulsations in the region are more widespread than previously reported, but fall at the weaker end of the spectrum of glacier instability, which may not be well represented by a sharp binary classification (surge-type versus stable). As more detailed satellite records become available, we suggest that a more nuanced framework may be useful to recognize and interpret subtler instabilities of small glaciers.
Keywords: glaciers; Central Asia; glacier surge; reconnaissance satellite glaciers; Central Asia; glacier surge; reconnaissance satellite

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MDPI and ACS Style

Mattea, E.; Bhattacharya, A.; Ghuffar, S.; Khatun, J.; Barandun, M.; Hoelzle, M. Multi-Sensor Analysis of Predicted and Observed Glacier Instabilities in the Hissar–Alay of Central Asia. Remote Sens. 2026, 18, 699. https://doi.org/10.3390/rs18050699

AMA Style

Mattea E, Bhattacharya A, Ghuffar S, Khatun J, Barandun M, Hoelzle M. Multi-Sensor Analysis of Predicted and Observed Glacier Instabilities in the Hissar–Alay of Central Asia. Remote Sensing. 2026; 18(5):699. https://doi.org/10.3390/rs18050699

Chicago/Turabian Style

Mattea, Enrico, Atanu Bhattacharya, Sajid Ghuffar, Julekha Khatun, Martina Barandun, and Martin Hoelzle. 2026. "Multi-Sensor Analysis of Predicted and Observed Glacier Instabilities in the Hissar–Alay of Central Asia" Remote Sensing 18, no. 5: 699. https://doi.org/10.3390/rs18050699

APA Style

Mattea, E., Bhattacharya, A., Ghuffar, S., Khatun, J., Barandun, M., & Hoelzle, M. (2026). Multi-Sensor Analysis of Predicted and Observed Glacier Instabilities in the Hissar–Alay of Central Asia. Remote Sensing, 18(5), 699. https://doi.org/10.3390/rs18050699

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