Wildfires – IAF Intensifies Aerial Battle Across Northeast Hills
Wildfires – The Indian Air Force has launched extensive firefighting missions across difficult terrain in the Northeast, tackling fast-spreading forest fires while also outlining a shift toward artificial intelligence-driven air operations.
The service is currently engaged on two challenging fronts, deploying heavy-lift helicopters to combat flames in remote mountainous regions of Arunachal Pradesh and Nagaland. The missions demand precision flying in steep valleys and unpredictable weather, testing both aircraft capability and crew endurance.
Massive Water Drops in Arunachal Pradesh
In Walong, a remote area of Arunachal Pradesh, IAF helicopters carried out sustained aerial sorties to suppress a major forest blaze. According to officials, the crews released nearly 139,800 litres of water over the affected zone, gradually bringing the fire under control.
The operation required repeated trips over rugged hills where access by ground teams remains limited. Pilots navigated narrow valleys and fluctuating wind patterns while maintaining strict safety protocols. The success of the water-dropping effort significantly reduced the intensity of the fire, preventing further spread to nearby forested stretches.
Authorities indicated that coordination between air crews and local agencies played a crucial role in containing the blaze. Continuous monitoring ensured that hotspots were targeted systematically.
Dzukou Valley Operations Continue
While the situation in Walong has improved, firefighting efforts are ongoing in the Dzukou Valley region, straddling parts of Nagaland. Mi-17 V5 helicopters are operating near Japfu Peak, an area known for its ecological sensitivity and challenging topography.
Aircraft are drawing water from Padumpokhiri Lake near Dimapur before heading toward fire-affected zones. The repeated cycles of water lifting and release are being carried out under demanding conditions. Officials report that steep slopes, reduced visibility due to smoke, and thinner air at higher altitudes are complicating the missions.
The rarefied atmosphere affects lift performance, requiring careful load management and precise timing. Despite these hurdles, sorties are continuing with the objective of preventing the fire from spreading further across the valley’s grasslands and forest cover.
Technology Shift Toward AI-Based Systems
Amid these field operations, senior IAF leadership is also outlining changes in how technology will shape future air missions. Speaking on the sidelines of the AI Impact Summit, Air Vice Marshal Ajay Kunnath emphasized the need to rethink operational systems in aviation.
He explained that the Air Force is gradually moving away from rigid, rule-based systems and exploring artificial intelligence-driven models. According to him, air operations function in an environment where the margin for error is almost nonexistent, making reliability and trust essential.
He described the transition as a move from deterministic frameworks toward probabilistic systems. In such systems, outcomes are assessed based on data-driven likelihoods rather than fixed rules. However, he cautioned that any adoption of AI must meet the high standards required for aviation safety.
Trust and Failsafe Systems in Aviation
Air Vice Marshal Kunnath underscored that trust remains central to the adoption of advanced automation. In high-risk domains like aviation, even a small percentage of uncertainty can have serious implications.
He noted that while many AI systems can achieve high accuracy rates, bridging the remaining gap is critical. According to him, the final few percentage points in performance often determine operational success or failure. Closing that gap will require improved algorithms and access to higher-quality datasets.
He also outlined the evolving role of human operators as AI capabilities expand. The progression, he said, ranges from a human directly controlling decisions to supervising automated systems, and eventually to full autonomy in select areas. Determining the appropriate balance between human oversight and machine autonomy will depend on the specific mission and operational requirements.
At the same time, he cautioned against assuming that solutions developed for one domain can be directly applied to another. Each operational environment presents unique variables that demand tailored approaches.
As the IAF continues its firefighting missions in the Northeast, the parallel push toward advanced technology signals a broader transformation. The combination of real-time operational challenges and long-term technological planning reflects the evolving landscape of modern air operations.