Our
Projects
Global Temperature Anomalies Over Time Project Sample
The outcome reveals a clear upward trend in global temperature anomalies over time, emphasizing the urgent reality of climate change. By analyzing historical data and projecting future trends using linear regression, this model illustrates the accelerating pace of global warming. Over the next five years, insights from such analyses can have profound impacts. Governments, policymakers, and organizations can use these data-driven findings to implement targeted actions, such as reducing greenhouse gas emissions and promoting sustainable practices. Additionally, the visualization of trends serves as a powerful tool for raising public awareness and driving collective action. Without immediate interventions informed by such studies, the world could face increased frequency and intensity of climate-related disasters, including wildfires, hurricanes, and heatwaves, threatening ecosystems, economies, and human well-being. This underscores the necessity of leveraging data science and climate modeling to guide decision-making for a more sustainable future.
Earth observation trends and the UAE's green areas over the last 20 years.
Looking at the open spaces in the United Arab Emirates over the last 20 years shows how urban growth, protecting the environment, and maintaining the health of ecosystems are all connected in a complex way. NDVI (Normalised Difference flora Index) was used in this study to measure the health and changes in flora across the country using advanced geospatial data and remote sensing technologies. The results show both the problems and the success that has been made in controlling the growth of cities, carbon emissions, and protecting wildlife. The growth of cities has changed the types of plants that grow and the quality of the air. However, projects like reforestation of mangroves and green city planning have helped the environment. Geospatial analysis and satellite views helped us understand how the changes affected water areas and ecosystems, which made it possible for data-driven actions. These results show how important it is to use both remote sensing and AI together to make solutions that can be used to make the UAE cleaner and more sustainable.
