Research
Automated Forest Fire Alerts – Margalla Hills
Margalla Hills, an ecological jewel adorning Islamabad, is home to a rich tapestry of biodiversity, hosting hundreds of plant and animal species, some of which are endemic or endangered. This fragile ecosystem provides vital environmental services, including air purification, climate regulation, and habitat preservation, supporting both wildlife and the wellbeing of millions of urban residents nearby.
However, this precious landscape faces increasing threats from forest fires. Historical data reveals that since 2001, over 380 wildfire incidents have been recorded in the Margalla Hills, resulting in the loss of approximately 500 hectares of tree cover. These fires predominantly flare up during the harsh summer months, amplified by rising temperatures and prolonged droughts linked to climate change.
Wildfires not only destroy flora and fauna but also release massive amounts of carbon emissions, undermining climate goals and deteriorating air quality, which impacts public health adversely. The challenge of controlling these wildfires is compounded by difficult terrain and rapid fire spread, demanding rapid, coordinated responses.
In response to these urgent environmental realities, the integration of AI and IoT-driven automated forest fire alert systems emerges as a groundbreaking solution. Utilizing a network of intelligent sensors dispersed throughout the hills, combined with satellite data and real-time weather monitoring, the system continuously tracks variables such as temperature spikes, humidity drops, smoke density, and wind patterns.
Current research is focused on deploying an advanced IoT network within Margalla Hills to continuously capture real-time environmental data, temperature, humidity, smoke density, and wind patterns crucial for early wildfire detection. This live data is collected through strategically placed sensors across vulnerable zones.
Alongside data acquisition, sophisticated AI models are being developed and refined to analyze incoming real time data, detecting subtle patterns and anomalies that could signal emerging fires. The research aims to elevate predictive accuracy and reduce response times well beyond existing manual or satellite based monitoring systems.
The Internet of Tree Things (IoTT)
The Internet of Tree Things (IoTT) is a specialized application of IoT technology where sensors and connected devices are embedded in trees and forest environments to monitor their health and environmental conditions in real time. These interconnected “tree things” collect data on parameters such as soil moisture, temperature, vibrations, and growth patterns, which are then transmitted through wireless networks for analysis. IoTT enables proactive forest management, early detection of threats like diseases or storms, and enhanced conservation efforts through continuous, automated environmental monitoring.
By integrating IoTT with AI analytics, FLON aims to enhance early detection, prevention, and response to forest fires, supporting the preservation of critical ecosystems and advancing climate resilience
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