- [ONLINE] GC11F-VR8971: Evaluating the effectiveness of reforestation in mitigating climate change and flood risk through remote sensing and machine learning in vulnerable upstream landscapes of Pakistan
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Mannan Aleem, University of Agriculture Faisalabad (First Author, Presenting Author)
Shahbaz Khan, University of Agriculture Faisalabad
Muhammad Mazhar Iqbal, On Farm Water Management Wing of Agriculture Department, Davis Road, Lahore, Govt of the Punjab
Naeem Saddique, University of Agriculture Faisalabad
Muhammad Maaz Tanveer, University Of Agriculture Faisalabad
Muhammad Ahmad Akram, University Of Agriculture Faisalabbad
Huzaifa Bin Abid, University of Agriculture Faisalabad
Climate change and human activities like deforestation and poor land use planning are making floods, droughts, and heatwaves more common in Pakistan. To fight these problems, the Pakistani government started the Ten Billion Tree Tsunami Project (TBTTP), a large-scale effort to restore forests and protect the environment. This study uses satellite images, weather data, and machine learning tools on the Google Earth Engine platform to find out if this project is helping. We will compare land and climate conditions before and after the project, focusing on regions like Dera Ismail Khan and Bannu, which are especially vulnerable. Our research also looks at whether planting trees is helping to reduce flooding by slowing down surface runoff. We expect to find that the TBTTP has helped improve forest cover, made the local climate more stable, and reduced flood risks. This work shows how nature-based solutions like reforestation can help countries adapt to climate change, and it offers a model for evaluating similar projects worldwide.
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