Query broadcasted news related to wildfires and visualize them using spatial aggregations.<\/p>\n\n\n\n
The service filters thousands of online news sources mentioning occurred wildfires. We constructed a web mercator spatial grid having a grid size being optimized for geographic visualization. Each grid cell is enriched with a count attribute representing the number of news article related to locations of the corresponding grid cell.<\/p>\n\n\n\n
The service uses the impressive data source provided by the Global Database of Events, Language and Tone (GDELT) Project (https:\/\/www.gdeltproject.org\/<\/a>).<\/p>\n\n\n\n The service aggregates locations where some kind of wildfire took place using geospatial intelligence operations. The geospatial results support the GeoJSON and Esri Features format out of the box.<\/p>\n\n\n\n All endpoints support a date parameter for filtering the results. For best sustainability, the serverless cloud-backend queries the articles from the knowledge graph and calculates the geospatial features on-the-fly.<\/p>\n\n\n\n References:<\/strong><\/p>\n\n\n\n![\"\"](\"https:\/\/geospatial-ai.de\/wp-content\/uploads\/2022\/03\/148703806-071bbb42-59c7-4cb8-aa42-cb08814db5df.png\")