Intelligent energy and ecosystem for real-time monitoring of glaciers

Abstract

The United Nations is deeply concerned about global warming and its impacts on natural resources. 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), Unmanned 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.