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<p>The present study evaluates various glacier parameters (glacier area, mass budget, surface ice velocity) to understand climate change responses to the eastern Himalayan glacier. The different Landsat and ASTER DEM images were retrieved to estimate these parameters during 1990 – 2020. This study used the Accumulation Area Ratio (AAR) approach to estimate the mass balance of the studied region, and the sub-pixel correlation method was utilized for surface ice velocity (SIV) mapping. The glacier region has experienced significant aerial shrinkage (24.5%) and mass loss (-0.41 ± 0.047), associated with increased temperature due to ongoing climate change. The mean SIV of the three selected glaciers ranges from 15 – 21&#xa0;m/year, along with the central flow line ranging from 45 – 85&#xa0;m/year during 1990 – 2020. This study contributes to hydrological modelling, which will play an essential role in hydropower generation and social stability response to the global Climate.</p>

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Evolution of glacier mass balance and surface velocity in response to climate change in Eastern Himalaya using landsat imageries

  • 期刊论文

  • 发表日期：

    2025年7月2日

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  • Priyanko Das,
  • Suravi Ghosh,
  • Narala Gangadhara Reddy,
  • Atla Rangarani

摘要

The present study evaluates various glacier parameters (glacier area, mass budget, surface ice velocity) to understand climate change responses to the eastern Himalayan glacier. The different Landsat and ASTER DEM images were retrieved to estimate these parameters during 1990 – 2020. This study used the Accumulation Area Ratio (AAR) approach to estimate the mass balance of the studied region, and the sub-pixel correlation method was utilized for surface ice velocity (SIV) mapping. The glacier region has experienced significant aerial shrinkage (24.5%) and mass loss (-0.41 ± 0.047), associated with increased temperature due to ongoing climate change. The mean SIV of the three selected glaciers ranges from 15 – 21 m/year, along with the central flow line ranging from 45 – 85 m/year during 1990 – 2020. This study contributes to hydrological modelling, which will play an essential role in hydropower generation and social stability response to the global Climate.