Glacial lake outburst floods (GLOFs) pose significant risks to communities and infrastructure in glacier-fed regions. Effective management and mitigation of GLOFs require a comprehensive approach involving advanced data collection and analytical methods. This study summarizes the data and methods employed in the mapping, monitoring, management, and mitigation of GLOFs. Mapping of glacial lakes and potential hazard zones utilizes a combination of remote sensing technologies, such as satellite imagery and aerial photography, alongside detailed topographic maps and digital elevation models (DEMs). These tools facilitate the identification and delineation of lake boundaries, glacier extents, and risk areas by integrating optical and radar data with ground-based surveys. Monitoring efforts focus on real-time tracking of glacial lakes and glaciers to detect early warning signs of potential outbursts. Key methods include hydrological monitoring with water level gauges and pressure sensors, glacier movement tracking using GPS stations and radar systems, and periodic remote sensing observations. These approaches collectively help in assessing lake stability and glacier dynamics, providing critical data for risk prediction. Early warning systems employing automated sensors and communication networks are also critical for providing timely alerts to at-risk populations. This study provides a comprehensive view of an integrated approach that combines advanced data collection, real-time monitoring, risk assessment, and targeted mitigation strategies essential for effectively managing and mitigating the risks associated with GLOFs.