Satellitesonfire provides a unified fire protection platform that merges satellite imagery refreshed every 10 minutes with AI‑driven analysis and tower‑mounted cameras to detect and monitor wildfires in near real‑time. Its AI engine, built by experts from NASA and ESA, generates alerts, predicts fire spread, and offers historical risk reports to help forest managers and emergency services design effective prevention strategies.
Funding
$20K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
1OVCFounders
Product
Problem
Forest and wildland fires often spread rapidly because early ignition signs go unnoticed, especially in remote or vast areas where ground monitoring is limited. Delays in detection and response increase the likelihood of large-scale damage to ecosystems, property, and human safety.
Solution
Satellitesonfire offers a unified fire protection platform that combines satellite imagery refreshed every 10 minutes with AI‑driven analysis and ground‑based tower cameras. The system continuously scans for heat signatures and lightning strikes, generating real‑time alerts when a fire is detected. An artificial‑intelligence engine, built by experts with experience at NASA and ESA, evaluates the threat, predicts potential spread, and provides actionable notifications to stakeholders. Users can also access historical risk reports that quantify past fire activity and estimate how many hectares could have been saved with earlier warnings, helping them design optimal fire‑prevention strategies.
Target Audience
Primary customers are forest managers, land‑ownership agencies, and municipal emergency services responsible for wildfire prevention and response in fire‑prone regions.
Features
- Satellite data ingestion with 10‑minute refresh intervals for near‑real‑time coverage of large territories
- AI algorithms that detect fire ignitions, classify severity, and forecast spread trajectories
- Integration of tower‑mounted cameras to corroborate satellite detections and improve localization accuracy
- Lightning detection alerts every 20 seconds to identify the primary natural ignition source
- Automated alert delivery via email, SMS, or API to emergency responders and land managers
- Historical risk analytics showing fire frequency, burned area over the past decade, and potential savings from early warnings