This project will investigate the feasibility of deploying small unmanned aerial systems equipped with high resolution cameras or lidar sensors to quickly and economically collect custom data in targeted areas, such as on-going or just finished construction, post-storm floodplains or park renovation sites. It will utilize gigabit connected networks to cloud-based high-end computers (GENI) with specialized graphical processing hardware capable of parallel processing to generate derived 3D data. Such a solution would make the creation of on-demand, high resolution geospatial data needed for rapid updates of custom 3D city base maps both practical and affordable.
A team from the City of Raleigh (City), North Carolina State University (NCSU), and the North Carolina Next Generation Network (NCNGN) propose developing a framework to produce high resolution 3D data needed to generate GIS base layers that can be fully constructed in hours rather than days. To test this concept:
NCSU team
Duke NCNGN team
City of Raleigh team
Next phase will further expand the concept following the original proposal (with updates based on the test prototype)
May 2017: discuss workflow; install software at Duke - not sure how much effort this will be, it depends on what will run out of the box, we are away last two weeks of May at cyberGIS at UofI
June 2017: discuss fast data transfer capabilities, provide test data, assist with the development of prototype processing workflow
July 2017: development and testing of the UAS data processing workflow
August 2017: evaluate transfer data capabilities to city GIS 3D basemap
September 2017: develop change detection workflow and fusion with existing DSM/DEM
October 2017: test entire workflow including fast transfer of data between NCSU-Duke-Raleigh
November 2017: data acquisition in urban area (Centennial Campus?)
December 2017: test the workflow for urban area including change detection and 3D base map update