Mathematical Study of Glacier Dynamics Using Spaceborne Synthetic Aperture RADAR (SAR) Dataset.

Glaciers are found largely in remote and inhospitable terrains around the world, and it is generally known that the ocean has transformed into glaciers, according to a long-standing study. As a result, remote sensing technology is critical for remotely monitoring the region to detect any potential threats or mass changes in the near future. We used C-band Synthetic Aperture Radar data from the Sentinel-1 satellite to estimate the surface velocity of the Gangotri glacier in the Himalayan region in this paper. Using SAR offset tracking methodology, the maximum intensity correlation provides the two-dimensional movement of the Gangotri glacier and its tributaries in the Gharwal Himalayas in India. The repeat-pass SAR image subpixel offset tracking approach was also used to create velocity vectors from Sentinel-1 seasonal datasets. Based on 40 years of daily reports, we also used the Artificial Neural Network (ANN) Algorithm to forecast future trends in precipitation, temperature, and insolation index for the region. [ABSTRACT FROM AUTHOR]