Glacier Area and Surface Flow Velocity Variations for 2016–2024 in the West Kunlun Mountains Based on Time-Series Sentinel-2 Images DOI Creative Commons

Decai Jiang,

Shanshan Wang, Bin Zhu

et al.

Remote Sensing, Journal Year: 2025, Volume and Issue: 17(7), P. 1290 - 1290

Published: April 4, 2025

The West Kunlun Mountains (WKL) gather lots of large-scale glaciers, which play an important role in the climate and freshwater resource for central Asia. Despite extensive studies on glaciers this region, a comprehensive understanding inter-annual variations glacier area, flow velocity, terminus remains lacking. This study used deep learning model to derive time-series boundaries sub-pixel cross-correlation method calculate surface velocity region from 71 Sentinel-2 images acquired between 2016 2024. We analyzed spatial-temporal terminus. results indicate that, as follows: (1) area WKL remained relatively stable, with three expanding by more than 0.5 km2 five shrinking over (2) Five exhibited surging behavior during period. (3) Six velocities exceeding 50 m/y, have potential surge. (4) There were eight obvious advancing nine retreating Our demonstrates comprehensively monitoring changes mountain terminus, well identifying events regions beyond area.

Language: Английский

Mass loss of Bayi Glacier in the Heihe River Basin revealed by ground-penetration radar measurements from 2006 to 2023 DOI Creative Commons

Xiaoguang Pang,

Liming Jiang, Yuquan Liu

et al.

Journal of Hydrology Regional Studies, Journal Year: 2025, Volume and Issue: 58, P. 102255 - 102255

Published: Feb. 21, 2025

Language: Английский

Citations

0
Glacier Area and Surface Flow Velocity Variations for 2016–2024 in the West Kunlun Mountains Based on Time-Series Sentinel-2 Images DOI Creative Commons

Decai Jiang,

Shanshan Wang, Bin Zhu

et al.

Remote Sensing, Journal Year: 2025, Volume and Issue: 17(7), P. 1290 - 1290

Published: April 4, 2025

The West Kunlun Mountains (WKL) gather lots of large-scale glaciers, which play an important role in the climate and freshwater resource for central Asia. Despite extensive studies on glaciers this region, a comprehensive understanding inter-annual variations glacier area, flow velocity, terminus remains lacking. This study used deep learning model to derive time-series boundaries sub-pixel cross-correlation method calculate surface velocity region from 71 Sentinel-2 images acquired between 2016 2024. We analyzed spatial-temporal terminus. results indicate that, as follows: (1) area WKL remained relatively stable, with three expanding by more than 0.5 km2 five shrinking over (2) Five exhibited surging behavior during period. (3) Six velocities exceeding 50 m/y, have potential surge. (4) There were eight obvious advancing nine retreating Our demonstrates comprehensively monitoring changes mountain terminus, well identifying events regions beyond area.

Language: Английский

Citations

0