A Framework of image processing and machine learning utilization for flood disaster management

Flood is one of the annual disasters in many places. It has not been well-managed yet both pre-disaster and post-disaster. Image processing machine learning are commonly utilized for disaster management systems such as forecasting any potential flood by monitoring water level rivers dams. However, it a limited framework to be implemented strategic plan management. Thus, this study aims develop image utilization This involves Padang, West Sumatera, Indonesia sample. was conducted three stages; 1) categorize plans policies; 2) gather relevant literature; 3) analyze data. As findings, proposes consisting enhanced preparedness, improved coping capacity, completion post-disaster reconstruction rehabilitation. Involvement government, researchers industry mandatory. Government should collaborate establish policies regulations. Researchers conduct studies with financial support from industry. Meanwhile, public-private partnership government. In addition, involvement private sector government important factors that must exist research field.