★ Independent Project
AWS EC2 / Docker / PostGIS
CEMS Rapid Mapping Explorer
Challenge:
The CEMS Risk and Recovery Mapping OpenAPI Specifications share emergency disaster data across many separate activations, areas of interest, and file versions. This raw data needs to be organized into a structured database so it can be quickly explored on the web.
Solution:
Built an independent pipeline that automatically fetches live CEMS emergency feeds and stores them neatly in PostGIS. The data is published as fast vector tiles through GeoServer and GeoWebCache, allowing users to smoothly explore disaster boundaries and affected zones in an interactive OpenLayers map.
CEMS API Feed
→
Django Ingestion (Python)
→
PostGIS Database
→
GeoServer & Cache
→
OpenLayers Web Map