MBZUAI researchers are developing an AI-powered tool for flood assessment using satellite data and computer vision, prompted by the recent extreme weather in the Gulf region. The prototype analyzes spatial satellite imagery from before and after the storm to detect changes and identify heavily impacted roads and critical infrastructure. The tool uses AI models, Sentinel-2 imagery, and OpenStreetMap data to locate affected areas and estimate water depth. Why it matters: This research offers a way to automate and improve rapid response to extreme weather events, providing local authorities with critical information for rescue, recovery, and future urban planning in the face of climate change.
MBZUAI will showcase AI research for sustainability at COP28 in Dubai, highlighting AI's role in addressing climate change. The university will present research projects including generative AI, efficient AI operating systems, remote patient monitoring, and AI solutions for urban heat islands. MBZUAI will also emphasize its role in developing the UAE’s AI ecosystem. Why it matters: This underscores the increasing recognition of AI as a crucial tool for achieving sustainability goals in the Middle East and globally.
The UAE's meteorology chief has stated that artificial intelligence (AI) will play a crucial role in addressing the increasing challenges posed by extreme weather events. This official position highlights the nation's strategic focus on leveraging advanced technologies to enhance its preparedness and response capabilities for climate-related phenomena. The remarks underscore the growing recognition within the UAE government of AI's potential to significantly improve meteorological forecasting and climate modeling. Why it matters: This high-level endorsement signals the UAE's commitment to investing in AI-driven solutions for environmental resilience, potentially fostering innovation and collaborations in the region's climate technology sector.
MBZUAI Professor Fakhri Karray and colleagues from the University of Waterloo are using AI to forecast crop yields, focusing on the impact of extreme temperatures on California strawberry yields. The research uses historical climate and agricultural data to predict yields, addressing issues from 2023 when unusual weather caused a $100 million loss to the strawberry industry. Better predictions could benefit consumers, farmers, and the agricultural industry by improving pricing and supply chain management. Why it matters: This research can improve understanding of agricultural system vulnerabilities amid climate change and extreme weather.
A KAUST report, in collaboration with AEON Collective and KAPSARC, warned of increasing flash floods in the Arabian Peninsula due to climate change. The report predicts a 33% increase in annual maximum rainfall by the end of the century under a high emissions scenario. KAUST is supporting MEWA to improve dam management and flash flood warning systems, leveraging its data and supercomputing capabilities. Why it matters: The study highlights the urgent need for infrastructure adaptation and improved warning systems in the region to mitigate the increasing risk of climate-related disasters.