Disciplines
Geographic Information Sciences | Remote Sensing | Spatial Science
Abstract (300 words maximum)
Remote sensing using LiDAR technology for terrestrial mapping can be done using airborne or ground-based methods. Ground-based methods of LiDAR scanning have the favorable advantage of being much more cost-effective compared to the majority of aerial choices (balloons and drones might overcome this advantage in the future) for small-area large-scale cartography. LiDAR data collection has been traditionally utilized for urban applications, forest applications, agricultural applications, and geoscience applications. This student research aims to use the data gathered from this process for crafting 3D maps using cost-effective 3D printers.
Academic department under which the project should be listed
Department of Geography and Anthropology
Primary Investigator (PI) Name
Ranbir Kang
Additional Faculty
Uli Ingram, Geography & Anthropology, uingram@kennesaw.edu
Link for presentation
Included in
Geographic Information Sciences Commons, Remote Sensing Commons, Spatial Science Commons
LiDAR Field Data Collection for 3D Cartography
Remote sensing using LiDAR technology for terrestrial mapping can be done using airborne or ground-based methods. Ground-based methods of LiDAR scanning have the favorable advantage of being much more cost-effective compared to the majority of aerial choices (balloons and drones might overcome this advantage in the future) for small-area large-scale cartography. LiDAR data collection has been traditionally utilized for urban applications, forest applications, agricultural applications, and geoscience applications. This student research aims to use the data gathered from this process for crafting 3D maps using cost-effective 3D printers.