Advanced Wildfire Prediction and Alert System
Leveraging data from NASA FIRMS, MODIS, and POWER.
SmartFireSense is an **AI-powered wildfire prediction and alert system** that combines NASA satellite data with local IoT sensor networks to forecast fire risks before they start. Our mission is to shift global wildfire management from reaction to prevention. Using NASA’s FIRMS, MODIS, and POWER datasets together with real-time temperature, humidity, and wind sensors, SmartFireSense creates a precise Fire Risk Index (FRI) for every monitored area. The system can alert users, authorities, and emergency services through a mobile app, web dashboard, and automated notifications — allowing faster, data-driven decisions. Built with LoRaWAN communication, solar-powered IoT devices, and cloud-based AI models, SmartFireSense can operate reliably even in remote regions. Designed for scalability, it can be deployed from small farms to national park networks, providing a powerful early-warning solution for communities at risk. Our goal is to **protect nature, lives, and property** by turning cutting-edge space data and AI technology into practical tools for a safer and more resilient world.
Utilizes deep learning to fuse NASA satellite imagery, weather models, and sensor data for high-accuracy, 24/7 fire risk forecasting, offering up to 48 hours of lead time.
Sends instant notifications via mobile, web, and SMS when the Fire Risk Index (FRI) crosses critical thresholds, ensuring immediate response from ground teams and authorities.
Employs low-power, wide-area network sensors for reliable communication in remote, dense forest regions where cellular coverage is unavailable, maximizing sensor uptime.
Allows users to set custom digital boundaries to receive highly localized warnings specific to their property or operational area, minimizing alert fatigue and increasing relevance.
Tracks and logs key environmental variables like air temperature, humidity, and wind speed over time, providing invaluable historical data for ecological studies and land management planning.
A resilient cloud architecture ensures seamless scaling from small pilot programs to large national park networks, maintaining data integrity and system performance under high load.
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SmartFireSense was designed and developed by **Pedram Najafzadeh**, a creative innovator passionate about integrating aerospace technology, IoT, and artificial intelligence (AI) to build intelligent solutions for environmental protection and public safety. Based in **Ankara, Türkiye**, Pedram works in the field of emerging technologies, focusing on sensor system design, satellite data analysis, and smart automation systems. He has participated in international innovation and invention competitions and is dedicated to developing projects that transform space-based and AI technologies into real-world tools that make communities safer and more resilient. Through SmartFireSense, Pedram aims to demonstrate how NASA’s open satellite data can be combined with local smart sensor networks to predict and prevent wildfires before they spread — turning advanced technology into a practical solution for a safer, more sustainable future.
At SmartFireSense, our mission is to build a safer, smarter world by combining AI, IoT, and space data to predict and prevent wildfires before they start. We believe technology should serve nature — not harm it — and our systems are designed to protect both people and the planet.
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Our team is up of passionate engineers, environmentalists, and innovators working together to turn complex data into meaningful action. Each member shares a single goal — to create real solutions that safeguard lives and ecosystems through innovation and collaboration.
Behind every SmartFireSense deployment is a dedicated support team ensuring smooth operation, system reliability, and rapid response to incidents. We provide 24/7 technical assistance and continuous updates to keep every system running at peak performance.
Book a personalized demo to see how SmartFireSense can integrate with your operations and provide the lead time you need.