A comprehensive resource hub for disaster response, mapping, and data analysis using NASA Earth observation data.
The Disasters Learning Portal provides tools, tutorials, and resources for leveraging satellite imagery and geospatial data in disaster response and recovery efforts. This portal supports disaster coordinators, researchers, and response teams with actionable Earth observation data and analysis techniques.
To democratize access to NASA's Earth observation data and provide practical tools for disaster monitoring, assessment, and response through:
- Open-source data processing pipelines
- Cloud-optimized geospatial workflows
- Educational resources and tutorials
- Ready-to-use disaster response tools
- Sentinel-1 SAR: Flood detection and damage assessment tools
- Sentinel-2: Fire severity and vegetation analysis
- Planet: High-resolution imagery processing
- MODIS/VIIRS: Active fire detection and monitoring
- COG Converter: Convert satellite imagery to Cloud Optimized GeoTIFFs
- Change Detection: Automated before/after disaster analysis
- Water Mapping: Flood extent detection algorithms
- Fire Severity: Burned area and severity assessment
- Step-by-step tutorials for disaster mapping
- Best practices for satellite data analysis
- Case studies from recent disaster events
- Workshop materials and training resources
- Explore the Repositories: Browse our pinned repositories for tools and examples
- Check the Wiki: Detailed documentation and guides
- Join the Community: Contribute to ongoing disaster response efforts
- Access the Data: Links to NASA's disaster-related datasets
We welcome contributions from the disaster response community! Please see our Contributing Guidelines for more information.
- Flood Mapping Pipeline: Automated flood extent detection using SAR data
- Fire Severity Assessment: Multi-temporal analysis for burn severity
- Damage Assessment Tools: Building and infrastructure damage detection
- Real-time Monitoring: Near real-time disaster event tracking
For questions or collaboration opportunities, please open an issue or contact the maintainers.
Supporting disaster response with open science and Earth observation data