The article "Emerging Underwater Survey Technologies: A Review and Future Outlook" by Osayi Philip Igbinenikaro, Oladipo Olugbenga Adekoya, and Emmanuel Augustine Etukudoh provides an in-depth review of recent advancements in underwater survey technologies. The authors highlight the operational benefits and potential areas for future development, emphasizing the significant improvements in accuracy, efficiency, and data quality. Key advancements include advanced sonar systems (multibeam and sidescan sonars) that provide high-resolution images of the seafloor, autonomous underwater vehicles (AUVs) equipped with sophisticated sensors and cameras for precise data collection in challenging environments, and integrated survey systems that combine multiple sensors and data processing capabilities. The article also discusses the role of artificial intelligence (AI) and machine learning (ML) in enhancing data analysis, interpretation, and decision-making. Despite the progress, challenges such as underwater communication systems, battery life, and data processing capabilities remain. The authors conclude that continued research and development are essential to overcome these challenges and fully realize the potential of underwater survey technologies, leading to enhanced exploration and understanding of the underwater world.The article "Emerging Underwater Survey Technologies: A Review and Future Outlook" by Osayi Philip Igbinenikaro, Oladipo Olugbenga Adekoya, and Emmanuel Augustine Etukudoh provides an in-depth review of recent advancements in underwater survey technologies. The authors highlight the operational benefits and potential areas for future development, emphasizing the significant improvements in accuracy, efficiency, and data quality. Key advancements include advanced sonar systems (multibeam and sidescan sonars) that provide high-resolution images of the seafloor, autonomous underwater vehicles (AUVs) equipped with sophisticated sensors and cameras for precise data collection in challenging environments, and integrated survey systems that combine multiple sensors and data processing capabilities. The article also discusses the role of artificial intelligence (AI) and machine learning (ML) in enhancing data analysis, interpretation, and decision-making. Despite the progress, challenges such as underwater communication systems, battery life, and data processing capabilities remain. The authors conclude that continued research and development are essential to overcome these challenges and fully realize the potential of underwater survey technologies, leading to enhanced exploration and understanding of the underwater world.