Climate change directly impacts the frequency and severity of natural disasters like floods, earthquakes, and wildfires. Rising global temperatures create hotter, drier conditions, leading to increased forest fires that devastate both wildlife and human settlements, with the most vulnerable populations bearing the brunt of the damage.
Although the use of AI in mitigating natural disasters is still in its early stages, it’s rapidly expanding and bolstering existing disaster risk management systems. However, the effectiveness of AI in predicting, detecting, and responding to natural disasters depends on several factors, including data availability, institutional capacity, stakeholder coordination, sustainable financing, and community involvement.
Pakistan, with its high temperatures and arid terrain, is particularly prone to natural hazards such as floods, earthquakes, and forest fires. Despite contributing less than 1% to global greenhouse gas emissions, the country ranked 8th in the Global Climate Risk Index in 2021 and faces significant impacts from climate change.
How can the nation integrate AI into its forest fire management systems to improve disaster risk reduction efforts? The newly published report by GSMA, “Combatting Forest Fires with AI in Pakistan,” explores strategies for leveraging AI in the country’s forest fire management system to mitigate risks and enhance resilience.
