Today, LiDAR is the tool of choice for geospatial professionals seeking accurate, high-resolution 3D data across diverse environments. However, collecting data across aerial, terrestrial, and indoor domains remains technically and operationally challenging. This presentation explores a unified approach to LiDAR mapping that integrates unmanned aerial vehicle (UAV)-based scanning, handheld mobile mapping, and cloud-based processing to streamline end-to-end workflows. CHC Navigation will explore how aerial platforms equipped with lightweight LiDAR sensors can rapidly cover large or complex terrains, generating precise point clouds for topographic surveys, infrastructure corridors, and environmental monitoring. Additionally, mobile laser scanners that use a combination of SLAM and GNSS/INS positioning allow for the quick and flexible capture of indoor spaces, urban streetscapes, and GNSS-denied zones with minimal setup and disruption. The real advantage lies in combining these data streams into a single, coherent dataset. Centralized, cloud-based processing environments allow users to fuse aerial and terrestrial LiDAR data, apply trajectory corrections, classify point clouds, and generate final deliverables, such as digital terrain models (DTMs), 3D meshes, and vectorized outputs. Unifying platforms and automating data processing eliminates many traditional pain points, such as disconnected tools, time-consuming file transfers, and inconsistent results. Whether you are mapping a dense urban corridor, scanning building interiors for BIM, or conducting environmental analysis across varied terrain, this session provides insight into how a harmonized LiDAR workflow can transform your data acquisition strategy.