Modern asset management requires rapid, accurate, and economical collection of geospatial information.This paper evaluates three next-generation site-survey technologies—Real-Time Kinematic Global Navigation Satellite System (RTK-GNSS), Light Detection and Ranging (LiDAR), and unmanned aerial vehicle (UAV) photogrammetry—for asset-management applications. The technologies are compared using horizontal and vertical accuracy, field coverage rate, processing time, equipment cost, cost per hectare, and suitability for different terrain and asset types. RTK-GNSS provides high-accuracy positioning for individual assets and ground-control establishment. UAV LiDAR is particularly effective in vegetated and complex terrain because laser pulses can reach the ground through partial canopy cover. UAV photogrammetry provides low-cost orthomosaics, digital surface models, and three-dimensional visual models for open construction sites, stockpiles, and infrastructure inspection. The results show that no single technology is best for every asset-management task. A hybrid workflow using RTK-GNSS for control and discrete assets, UAV LiDAR for terrain and vegetation, and photogrammetry for visual documentation provides the most complete and cost-effective solution.

Simab Khan, Mohd. Aaquib, Muhammad Ahmed, Mohd. Jahan, Mohd. Afnan Khan, Farhan Irfan Khan, "Next-Gen Site Surveys: Evaluating the Efficiency of RTK-GNSS, LiDAR, and Drone Photogrammetry in Asset Management" International Journal of Scientific Research and Engineering Development, V9(5): Page(1201-1205) September - October 2026. ISSN: 2581-7175. www.ijsred.com. Published by Scientific and Academic Research Publishing.