Recently, advancement in geospatial technology based on AI, Machine Learning(ML) and Internet of things (IoT) have been widely used in DMRR.
Use of Technologies in DMRR
- Disaster prediction and early warning systems: Remote sensing, ML, GIS or drones can be used to collect and process data. AI is used for disaster modeling, usually through deep learning. E.g. Google Disaster Alerts
- Event simulation: Objective is to prepare and train people. Key technologies for event simulation are Augmented Reality (AR) and Virtual Reality (VR). E.g. Mobile Learning Hub Philippines.
- Disaster detection: Social media platforms as an important source of information and means of communication during disasters. E.g. Earthquake detection through X(Formerly twitter)
- Search and rescue: Identify people in critical need through satellite imagery or social media posts. Use of drones for Delivery of Medical Supplies and Aid etc.
- Emergency communication: AI powered chatbots can be powerful tools for managing and communicating with public during disasters. E.g Covid-19 chatbots launched by WHO
Challenges in use of Technology
Digital Divide, Biased AI, High implementation costs, & Security breaches.
Steps taken:
|
