Abstract

This study is focused on the development of a LiDAR database management system for the Department of Survey and Mapping Malaysia (JUPEM) to facilitate user authentication, retrieval of LiDAR datasets, storage, scheduling of LiDAR flight sessions and generation of new data products. Additionally, the design goal of the data management system is to support managers-vendors relationship, as well as new data generation out of the results. In this study, we described the structure development of LiDAR database management system and how the system collaborated with data production and data acquisition. The architecture of such application in WebGIS, providing map interactivity in displaying a simple dataset of LiDAR data by using Open Layers integration via GeoJSON format as the spatial data were used to show the implementation of such feature. We also used the Open Source Software (OSS) in the development of the LiDAR Database Management System for JUPEM. This was because many countries, especially in the public sector, were slowly transferring from using proprietary software to OSS.

Keywords:

CodeIgniter , GlS, GeoJSON , MVC , openlayers , open source software , web 2.0: LiDAR , web,

References

1. Achuthan, K., S. SudhaRavi, R. Kumar and R. Raman, 2014. Security vulnerabilities in open source projects: An India perspective. Proceeding of the 2nd International Conference on Information and Communication Technology (ICoICT, 2014), Bandung, Indonesia, pp: 18-23.
   
2. ASPRS (American Society for Photogrammetry and Remote Sensing), 2008. American society for photogrammetry and remote sensing annual conference 2008: Bridging the horizons: New frontiers in geospatial collaboration. Proceeding of a Meeting. Portland, Oregon, Held at 28 April-2 May 2008, 2: 836.
   
3. ASPRS (American Society for Photogrammetry and Remote Sensing), 2010. LAS Specification Version 1.3–R11.
   Direct Link
4. Bjørset, K., 2013. LiDAR data warehouse. M.A. Thesis, Norwegian University of Science and Technology, Trondheim, Norway.
   
5. Bunting, P.J., J. Armston, R. Lucas and D. Clewley, 2011. Sorted Pulse Data (SPD) Format: A new file structure for storing and processing LiDAR data. SilviLaser 2011, Hobart, Australia, Oct. 17-19.
   
6. Cao, V.H., K.X. Chu, N.A. Le-Khac, M.T. Kechadi, D. Laefer and L. Truong-Hong, 2015. Toward a new approach for massive LiDAR data processing. Proceeding of the 2nd IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services (ICSDM, 2015). Fuzhou, pp: 135-140.
   
7. Cheng, L., L. Tong, Y. Chen, W. Zhang, J. Shan, Y. Liu and M. Li, 2013. Integration of LiDAR data and optical multi-view images for 3D reconstruction of building roofs. Opt. Laser. Eng., 51(4): 493-502.
   
8. David, N., C. Mallet and F. Bretar, 2008. Library concept and design for lidar data processing. Proceeding of the GEOgraphic Object Based Image Analysis (GEOBIA) Conference, Calgary, Canada.
   
9. Economic Planning Unit, 2014. Retrieved from: http://www.epu.gov.my/en/video-tahun-2014.
   Direct Link
10. Ehinger, S.E., 2010. Design, development, and application of lidar data processing tools. Ph.D. Thesis, Idaho State University.
    
11. Fauscette, M., 2009. The Value of Open Source. IDC Analyst Connection.
    Direct Link
12. Ghosh, R.A. and J.P. Schmidt, 2006. Open source and open standards: A new frontier for economic development? UNU-MERIT Policy Brief No. 1, Maastricht, The Netherlands, pp: 1-7.
    
13. Haider, A. and A. Koronios, 2009. Promises of open source software for Australian government agencies-an exploratory study. Proceeding of the Pacific Asia Conference on Information Systems (PACIS). Taipei, Taiwan.
    
14. Hao, W., C. Heping and Q. Tian, 2015. Research on manufacturing SME information management systems based on Ajax and MVC. Proceeding of the 7th International Conference on Measuring Technology and Mechatronics Automation (ICMTMA, 2015). Nanchang, pp: 884-887.
    
15. Henley, M. and R. Kemp, 2008. Open source software: An introduction. Comput. Law Secur. Rev., 24(1): 77-85.
    CrossRef    
16. Holck, J., M.H. Larsen and M.K. Pedersen, 2004. Identifying business barriers and enablers for the adoption of open source software. Proceeding of the 13th International Conference on Information Systems Development. Vilnius, Lithuania.
    
17. Hwang, S.Y., 2005. Adopting open source and open standards in the public sector: Five deciding factors behind the movement. Mich. J. Pub. Aff., 2: 1-19.
    
18. Jokonya, O., 2015. Investigating open source software benefits in public sector. Proceeding of the 48th Hawaii International Conference on System Sciences (HICSS, 2015). Kauai, HI, pp: 2242-2251.
    
19. Kemp, R., 2009. Current developments in open source software. Comput. Law Secur. Rev., 25(6): 569-582.
    CrossRef    Direct Link
20. Kumar, P., C.P. McElhinney, P. Lewis and T. McCarthy, 2013. An automated algorithm for extracting road edges from terrestrial mobile LiDAR data. ISPRS J. Photogramm., 85: 44-55.
    
21. Lewis, P., C. McElhinney, B. Schön and T. McCarthy, 2010. Mobile mapping system LiDAR data framework. Proceeding of the 5th International 3D GeoInfo Conference. Berlin, Germany, November 3-4, 38: 135-138.
    
22. McGaughey, R.J., 2009. FUSION/LDV: Software for LIDAR data analysis and visualization. US Department of Agriculture, Forest Service, Pacific Northwest Research Station, University of Washington, Seattle, WA, USA, 123(2).
    
23. McNaughton, M., 2010. 16P. Broadening the revolution: An assessment of open source initiatives in the Caribbean and Latin America. Proceeding of the International Conference on Information Resources Management (CONF-IRM). Montego Bay, Jamaica.
    
24. Mosa, A.S.M., B. Schoen-Phelan, M. Bertolotto and D. Laefer, 2012. Evaluating the benefits of octree-based indexing for LiDAR data. Photogramm. Eng. Rem. S., 78(9): 927-934.
    
25. Nandigam, V., C. Baru and C. Crosby, 2010. Database design for high-resolution LIDAR topography data. In: Gertz, M. and B. Ludäscher (Eds.), Scientific and Statistical Database Management. Lecture Notes in Computer Science, Springer, Berlin, Heidelberg, 6187: 151-159.
    
26. Shaikh, M. and T. Cornford, 2012. Strategic drivers of open source software adoption in the public sector: Challenges and opportunities. Proceeding of the 20th European Conference on Information Systems (ECIS). Barcelona, Spain.
    
27. Sharma, N.C.P. and J.A. Parikh, 2006. A LIDAR collaboratory data management system. Proceeding of the IEEE International Conference on Geoscience and Remote Sensing Symposium. Denver, CO, pp: 817-820.
    
28. Ward, D.J. and E.Y. Tao, 2009. Open source software use in municipal government: Is full immersion possible? Proceeding of the World Congress on Engineering and Computer Science. San Fransisco, USA, Vol. 2.
    PMCid:PMC2722667    Direct Link
29. Zhou, L. and G. Vosselman, 2012. Mapping curbstones in airborne and mobile laser scanning data. Int. J. Appl. Earth Obs., 18: 293-304.
    

Competing interests

The authors have no competing interests.

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