Intelligent energy and ecosystem for real-time monitoring of glaciers

The United Nations is deeply concerned about global warming and its impacts on natural re-sources. Simultaneously, it has been recommended that cutting-edge technologies be employed to predict the impact of climate change on natural reservoirs such as glaciers. With the motivation of the above facts, this study investigates the impact and significance of emerging and cutting-edge technologies like Remote Sensing, the Internet of Things (IoT), Artificial Intelligence (AI), Un-manned Aerial Vehicles (UAVs), and robots implementation for the digitalization in glaciers. The study identified that convergence of AI, Machine Learning (ML), and Deep Learning approaches with Spatio-temporal data empowers to detect non-linear characteristics, especially in high mountainous regions due to their diversity and unpredictable nature. The article suggested valuable recommendations such as establishing an intelligent eco-system in glaciers, low-cost intelligent IoT devices with intelligent energy algorithms, ML empowered edge devices, glacier-resistant rescue robots, and Wearable IoT-based safety guide devices.

Automated summary

This study explores the impact and significance of emerging and cutting-edge technologies in the digitalization of glaciers, finding that the convergence of AI, ML, and Deep Learning with spatio-temporal data can detect non-linear characteristics. Valuable recommendations are proposed, including the establishment of an intelligent ecosystem in glaciers, low-cost intelligent IoT devices with intelligent energy algorithms, ML empowered edge devices, glacier-resistant rescue robots, and Wearable IoT-based safety guide devices.