Monitoring Wildfires with Sentinel-3: A Hands-on Introduction to Dunia’s Application Hub

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Wildfires pose a growing threat to ecosystems, infrastructure, and human safety, making rapid detection and monitoring essential. Satellite-based Earth Observation (EO) data, particularly from Sentinel-3, provides critical near-real-time insights for fire tracking and disaster response.

On 28th May 2025, from 2:00 PM to 3:30 PM (UTC+2 / CEST), Dunia’s Application Hub will host an online workshop to demonstrate how Sentinel-3 data can be leveraged for wildfire detection and monitoring. Led by Cosmin Cara, CEO of CS Group Romania, this session will offer a practical introduction to EO data processing using Dunia’s powerful platform.  

Key Topics Covered  

  1. Introduction to Dunia’s Application Hub: Discover the capabilities of Dunia’s platform for EO data processing and analysis.  
  2. Searching and Retrieving EO Products: Learn how to efficiently access Sentinel-3 datasets for wildfire monitoring.  
  3. Creating a Workflow from Scratch: Step-by-step guidance on building a custom workflow for active fire detection.  
  4. Visualising Results in the Sandbox: Explore interactive tools to analyse and interpret fire detection outputs.  
  5. Publishing to the Dunia Marketplace: Understand how to share your wildfire detection application with the broader EO community.  

Why Attend?  

This workshop is ideal for professionals and researchers in:  

  1. Disaster monitoring & emergency response  
  2. Environmental and climate analysis  
  3. Remote sensing & geospatial data science, and many more.  

Participants will gain hands-on experience in processing Sentinel-3 data, enabling them to contribute to global wildfire monitoring efforts effectively.  

Event Details  

  1. Date: 28th May 2025  
  2. Time: 1:00 PM – 2:30 PM (GMT+1
  3. Location: Online  
  4. Trainer: Cosmin Cara, CEO, CS Group Romania  
  5. Registration: [Here]

Don’t miss this opportunity to enhance your skills in EO-based wildfire detection. Reserve your spot today and take a step toward more intelligent disaster monitoring.

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