## 5 Conclusions
The integration of artificial intelligence (AI) and machine learning (ML) into remote sensing and geophysical workflows marks a promising next step. Convolutional Neural Networks (CNNs) and Long Short-Term Memory (LSTM) models could enhance the precision and efficiency of analyses. Additionally, the development of drone-based geophysical technologies, such as 3D tomography and airborne electromagnetic surveys, will enable finer-scale monitoring of high-risk zones. To further advance this field, we recommend the following actionable steps:  
* Advancing Remote Sensing Integration: Future research should focus on combining AI algorithms with SAR data from emerging satellite missions like Sentinel-3 to enhance monitoring capabilities. * Establishing Data-Sharing Platforms: We advocate for the development of international data-sharing platforms to facilitate real-time hazard monitoring and collaborative research efforts, improving regional preparedness and response strategies. * Enhancing Policy Engagement: Policymakers should integrate these technological advancements into hazard mitigation strategies, prioritizing investment in remote sensing infrastructure and training programs. By fostering collaboration between scientists and decision-makers, the resilience of communities can be significantly strengthened. * Promoting Sustainable Management Practices: It is essential to align research findings with sustainable management policies, emphasizing the mitigation of industrial and environmental impacts while preserving the natural heritage. Recent developments highlight a shift in regional water management strategies following the discontinuation of the Red Sea-Dead Sea Water Conveyance Project in June 2021. The project's abandonment underscored the complex geopolitical and logistical challenges in addressing the Dead Sea's retreat. In its place, alternative initiatives like Jordan's Aqaba-Amman Water Desalination and Conveyance Project have gained prominence. This project aims to produce 250 million cubic meters of potable water annually through desalination and distribute it via a 450-km pipeline to Amman and surrounding areas, addressing a significant portion of Jordan's water needs by 2027. Similarly, Israel has prioritized expanding its desalination infrastructure and fostering collaborative efforts to manage shared water resources. These localized and technologically advanced approaches underscore the necessity of adaptive and cooperative solutions to address the region's water scarcity and environmental challenges while ensuring the sustainable management of the Dead Sea's unique ecosystem. * Incorporating Regional Geological Insights: Leverage the findings from detailed stratigraphic and geophysical studies [67; 68] to refine hazard models and resource management strategies. Understanding tectonic subsidence rates and sedimentary cycles can greatly enhance predictive capabilities. The historical progression from Corona imagery to state-of-the-art machine learning applications underscores the transformative impact of remote sensing on Dead Sea research. By building on this legacy and implementing these recommendations, future efforts can address emerging challenges, improve hazard resilience, and contribute to the sustainable management of this uniquely dynamic environment. This research received no external funding. The authors declare no conflict of interest.