Glaciers in the Himalaya are shrinking due to climate change, monitoring these changes is important for understanding the regional climate impacts and water resources. Traditional methods of mapping the glaciers using satellite images struggles to identify the areas covered in debris and snow. In this study, we used advanced deep learning models to automatically map glaciers in the Indian Himalaya each year from 2016 to 2024. We combined multiple types of satellite data, including optical, radar, elevation, and glacier dynamics parameters. Our results showed that some models performed better than others, and we were able to accurately detect changes in glacier size. One region, the Chandra-Bhaga basin, showed a 16.2% loss in glacier area over the eight years. These findings highlight the potential of deep learning to improve glacier monitoring and reveal the growing impact of climate change on mountain glaciers.