Rapid Agricultural
Disaster Assessment
Evidence-based disaster response through AI and satellite analytics
Integrating UAV mapping, satellite analytics, and AI-driven damage classification to establish rapid, standardized agricultural disaster assessment capabilities with local capacity building.
Explore Project DetailsProject Overview
This project establishes a rapid, evidence-based agricultural disaster assessment system by integrating cutting-edge technologies with standardized operational procedures.
The system enables quick damage classification and assessment following natural disasters, supporting timely response and recovery efforts.
Technology Stack
- UAV orthophotos and Digital Surface Models
- Satellite-based flood mapping analytics
- AI-powered agricultural damage classification
- Integrated assessment platform development
- Harmonized Standard Operating Procedures
Key Features
- Rapid field data acquisition and processing
- Standardized damage classification protocols
- Local capacity building and training
- Evidence-based decision making tools
- Scalable assessment methodologies
Project Workflow
The workflow spans from field data acquisition through analysis, system development, and knowledge dissemination.
With Outputs 1 and 2 completed, rapid downstream processing enables advanced AI model development and platform integration currently underway.
Capacity Building
Output 6 focuses on training and municipal capacity development, scheduled for delivery in November.
This includes comprehensive training programs and system handover to ensure sustainable local implementation.
Impact & Applications
- Faster disaster response coordination
- Improved resource allocation decisions
- Enhanced agricultural resilience planning
- Standardized assessment protocols
- Evidence-based policy development