Researchers are exploring the integration of geospatial intelligence and machine learning to improve flood susceptibility mapping and environmental monitoring. Various studies are being conducted to assess the performance of different machine learning techniques and models for flood susceptibility assessment and climate risk evaluation. The use of hybrid machine learning and optimization techniques, as well as explainable geoai frameworks, are among the approaches being investigated for enhanced environmental sustainability and resilience to climate change.