<p>With the acceleration of urbanization, urban thermal environment problems have become increasingly prominent, affecting the quality of life of residents and the sustainable development of cities. This article aims to evaluate and optimize urban green landscape design through thermal imaging technology and data fusion methods to improve regional thermal environment. The study reviewed the theoretical basis of thermal imaging technology and environmental assessment. Thermal imaging testing is used to analyze the thermal environment of the study area. By obtaining thermal distribution data of different landscape types, the relationship between thermal environment and urban landscape is evaluated, and the results of regional thermal environment assessment are proposed. On this basis, this article constructs a city data collection strategy based on data fusion, including the fusion of homogeneous sensor data and its credibility analysis. By analyzing the recognition results, ensure the accuracy and usability of the data. Conduct in-depth analysis of the current status of regional landscape development and propose corresponding adjustment strategies based on the influencing factors of regional thermal environment. Finally, the study proposes optimized urban green landscape design strategies for addressing regional thermal environment issues, including specific measures for design optimization and effectiveness evaluation. The research results indicate that urban green landscape design based on thermal imaging and data fusion not only helps to improve the quality of urban thermal environment, but also provides theoretical support for the formulation of urban construction policies. Through effective thermal environment assessment and data fusion, it can significantly enhance the thermal regulation effect of urban green landscape and provide scientific basis for the sustainable development of cities.</p>