The landscape of infrastructure management and environmental monitoring is undergoing a transformative shift, driven by advancements in remote sensing technologies. In Canada, with its vast and diverse geography, the challenges of maintaining and monitoring extensive infrastructure networks and sensitive environmental ecosystems are particularly pronounced. This presentation focuses on the pivotal role of multi-mode LiDAR mapping and multi-mode geospatial data in addressing these challenges, specifically in the context of pavement stress assessment and digital twin development. Multi-mode LiDAR and multi-modal geospatial data, which integrates various laser scanning techniques and sensor modalities, offers unprecedented detail and accuracy in capturing surface characteristics. This technology transcends traditional LiDAR applications by providing rich, multi-dimensional data that enables a deeper understanding of the physical environment. In the context of pavement infrastructure, this enhanced data acquisition is critical for accurately assessing stress levels, predicting deterioration, and optimizing maintenance strategies. The development of digital twins, virtual replicas of physical assets, is another area where multi-mode LiDAR and multi-modal geospatial data plays a crucial role. These digital twins, powered by high-fidelity LiDAR data, facilitate real-time monitoring, simulation, and predictive analysis, enabling proactive infrastructure management. For Canada, where extreme weather conditions and vast distances pose unique challenges, digital twin technology offers a powerful tool for ensuring the longevity and safety of critical infrastructure. This presentation delves into the methodologies and applications of multi-mode LiDAR mapping and multi-modal data fusion, focusing on its integration with data-rich analysis and spatial data platforms. We examined how this integrated approach enhances pavement stress assessment, facilitates the creation of robust digital twins in two use cases in Toronto, Canada and the contribution to broader environmental and infrastructure monitoring efforts within the Canadian context.