Real-Time Land Use and Land Information System in Homagama Divisional Secretariat Division
Lands are valuable & limited resource which constantly changes with the growth of the population. An efficient and good land management system is essential to avoid conflicts associated with lands. This paper aims to design the prototype model of a Mobile GIS Land use and Land Information System in real-time. Homagama Divisional Secretariat Division situated in the western province of Sri Lanka was selected as the study area. The prototype model was developed after reviewing related literature. The methodology was consisted of designing and modeling the prototype model into an application running on a mobile platform. The system architecture mainly consists of a Google mapping app for real-time updates with firebase support tools. Thereby, the method of implementation consists of front-end and back-end components. Software tools used in designing applications are Android Studio with JAVA based on GeoJSON File structure. Android Studio with JAVA in GeoJSON File Synchronize to Firebase was found to be the perfect mobile solution for continuously updating Land use and Land Information System (LIS) in real-time in the present scenario. The mobile-based land use and LIS developed in this study are multiple user applications catering to different hierarchy levels such as basic users, supervisory managers, and database administrators. The benefits of this mobile mapping application will help public sector field officers with non-GIS expertise to overcome the land use planning challenges with land use updated in real-time.
[1] Jansen, L. J. M., & Di Gregorio, A. (2003). Land-use data collection using the “land cover classification system”: Results from a case study in Kenya. Land Use Policy, 20(2), 131–148. https://doi.org/10.1016/S0264-8377 (02)00081-9.
[2] Chandramali, E. A. G., & Wijesekera, N. T. S. (2012). Field Data Collection for Land Information Systems – A Case Study on Quantification of Resource Requirement for a GIS. Engineer: Journal of the Institution of Engineers, Sri Lanka, 45(4), 51–64. https://doi.org/10.4038/engineer.v45i4.6926.
[3] Dale, P. F., & McLAREN, R. A. (2005). GIS in land administration. 859–874.
[4] Pundt, H. (2002). Field Data Collection with Mobile GIS: Dependencies between Semantics and Data Quality. GeoInformatica, 6, 363–380.
[5] Elwakil, M., Ibrahim, R., & Hefny, H. (2015). New Architecture for Mobile GIS Cloud Computing. IJARCCE, 4, 1–7. https://doi.org/10.17148/IJARCCE.2015.41001.
[6] Wijenayake, N. (2015). Corporate- LIS for Effective Land Administration of Sri Lanka. Retrieved from http://dr.lib.sjp.ac.lk/handle/123456789/1898.
[7] Land Information System. (n.d.). Retrieved February 12, 2021, from https://www.survey.gov.lk/sdweb/pages_service_land_info.php?id=817122c8f9f9958a8a7688733ed95c9c58fcb688.
[8] Mapa R.B, Kumaragamage D, Gunarathne W.D.L and Dassanayaka A.R (2002). Land use in Sri Lanka: Past, present, and the future, Conference: 17th World Congress of Soil Science, At Thailand, October, Volume: 3. Luxembourg 21.-23. January (1998). Retrieved from https://www.researchgate.net/publication/309803692.
[9] Dinh, H. T., Lee, C., Niyato, D., & Wang, P. (2013). A survey of mobile cloud computing: Architecture, applications, and approaches. Wireless Communications and Mobile Computing, 13(18), 1587–1611. https://doi.org/10.1002/wcm.1203.
[10] Elwakil M. M, Ibrahim R. F, and Hefny H. A. (2015). New architecture for mobile GIS cloud computing, New Architecture, vol. 4, no. 10. Retrieved from https://www.researchgate.net/publication/309433917.
[11] Jararweh, Y., Tawalbeh, L., Ababneh, F., Khreishah, A., & Dosari, F. (2014). Scalable Cloudlet-based Mobile Computing Model. Procedia Computer Science, 34, 434–441. https://doi.org/10.1016/j.procs.2014.07.051.
[12] Fernando N, Loke S. W, and Rahayu W (2013). ―Mobile cloud computing: A survey,” Future generation computer systems, vol. 29, no. 1, pp. 84–106. https://dl.acm.org/doi/10.1016/j.future.2012.05.023.
[13] What is Android Studio? - Definition from WhatIs.com. (n.d.). Retrieved February 12, 2021, from Search Mobile Computing website: https://searchmobilecomputing.techtarget.com/definition/Android-Studio.
[14] What is a GeoJSON? Find out more about Geographical Data—Spotzi Help Center. (n.d.). Retrieved February 13, 2021, from https://www.spotzi.com/en/help-center/what-is-a-geojson/
[15] What is Firebase? | A Quick Glance of what is Firebase with Application. (2020, August 17). Retrieved February 13, 2021, from EDUCBA website: https://www.educba.com/what-is-firebase/.
[16] Wijenayake, N. (2015). Corporate-LIS for Effective Land Administration of Sri Lanka. Retrieved from http://dr.lib.sjp.ac.lk/handle/123456789/1898.
[17] Improving-the-Quality-of-Land-Administration-in-Sri-Lanka-19-June-2017-final-draft-clean.pdf. (n.d.). Retrieved from http://documents1.worldbank.org/curated/en/750021530107195459/pdf/Improving-the-Quality-of-Land-Administration-in-Sri-Lanka-19-June-2017-final-draft-clean.pdf.
[18] Thilakarathne, R., Gunatilake, J., & Jayakody, J. (2008). Integrated Geographical Buffering System for Land Taxation in Sri Lanka. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XXXVII (Part B4). Retrieved from https://www.researchgate.net/publication/237526321.
[19] Hallett, S. H., Sakrabani, R., Keay, C. A., & Hannam, J. A. (2017). Developments in land information systems: Examples demonstrating land resource management capabilities and options. Soil Use and Management, 33(4), 514–529. https://doi.org/10.1111/sum.12380.
[20] Land Resources Information System (LRIS), Kerala (2013). Retrieved from GIS Resources website: http://www.gisresources.com/kerala-first-state-embark-land-resources-information-system-lris-india/.
[21] Bentley, (2017). Federated GIS Based on Bentley Map Enables Cancún to Collect 66 Percent More Property Tax—Geospatial World. Retrieved https://www.geospatialworld.net/article/bentley-federated-gis-based-on-bentley-map-enables-cancun-to-collect-66-percent-more-property-tax/.
[22] Martey, S. and Tagoe N. (2012). Geo-property tax information system a case study of the Tarkwa Nsuaem municipality, Ghana, Paper of FIG Working Week. Retrieved from https://www.fig.net/resources/proceedings/fig_proceedings/fig2012/papers/ts05g/TS05G_mantey_tagoe_5882.pdf.
[23] Mobile Operating System Market Share Sri Lanka. (n.d.). Retrieved Feb 13, 2021, from Stat Counter Global Stats website: https://gs.statcounter.com/os-market-share/mobile/Sri%20Lanka.
[1] Jansen, L. J. M., & Di Gregorio, A. (2003). Land-use data collection using the “land cover classification system”: Results from a case study in Kenya. Land Use Policy, 20(2), 131–148. https://doi.org/10.1016/S0264-8377 (02)00081-9.
[2] Chandramali, E. A. G., & Wijesekera, N. T. S. (2012). Field Data Collection for Land Information Systems – A Case Study on Quantification of Resource Requirement for a GIS. Engineer: Journal of the Institution of Engineers, Sri Lanka, 45(4), 51–64. https://doi.org/10.4038/engineer.v45i4.6926.
[3] Dale, P. F., & McLAREN, R. A. (2005). GIS in land administration. 859–874.
[4] Pundt, H. (2002). Field Data Collection with Mobile GIS: Dependencies between Semantics and Data Quality. GeoInformatica, 6, 363–380.
[5] Elwakil, M., Ibrahim, R., & Hefny, H. (2015). New Architecture for Mobile GIS Cloud Computing. IJARCCE, 4, 1–7. https://doi.org/10.17148/IJARCCE.2015.41001.
[6] Wijenayake, N. (2015). Corporate- LIS for Effective Land Administration of Sri Lanka. Retrieved from http://dr.lib.sjp.ac.lk/handle/123456789/1898.
[7] Land Information System. (n.d.). Retrieved February 12, 2021, from https://www.survey.gov.lk/sdweb/pages_service_land_info.php?id=817122c8f9f9958a8a7688733ed95c9c58fcb688.
[8] Mapa R.B, Kumaragamage D, Gunarathne W.D.L and Dassanayaka A.R (2002). Land use in Sri Lanka: Past, present, and the future, Conference: 17th World Congress of Soil Science, At Thailand, October, Volume: 3. Luxembourg 21.-23. January (1998). Retrieved from https://www.researchgate.net/publication/309803692.
[9] Dinh, H. T., Lee, C., Niyato, D., & Wang, P. (2013). A survey of mobile cloud computing: Architecture, applications, and approaches. Wireless Communications and Mobile Computing, 13(18), 1587–1611. https://doi.org/10.1002/wcm.1203.
[10] Elwakil M. M, Ibrahim R. F, and Hefny H. A. (2015). New architecture for mobile GIS cloud computing, New Architecture, vol. 4, no. 10. Retrieved from https://www.researchgate.net/publication/309433917.
[11] Jararweh, Y., Tawalbeh, L., Ababneh, F., Khreishah, A., & Dosari, F. (2014). Scalable Cloudlet-based Mobile Computing Model. Procedia Computer Science, 34, 434–441. https://doi.org/10.1016/j.procs.2014.07.051.
[12] Fernando N, Loke S. W, and Rahayu W (2013). ―Mobile cloud computing: A survey,” Future generation computer systems, vol. 29, no. 1, pp. 84–106. https://dl.acm.org/doi/10.1016/j.future.2012.05.023.
[13] What is Android Studio? - Definition from WhatIs.com. (n.d.). Retrieved February 12, 2021, from Search Mobile Computing website: https://searchmobilecomputing.techtarget.com/definition/Android-Studio.
[14] What is a GeoJSON? Find out more about Geographical Data—Spotzi Help Center. (n.d.). Retrieved February 13, 2021, from https://www.spotzi.com/en/help-center/what-is-a-geojson/
[15] What is Firebase? | A Quick Glance of what is Firebase with Application. (2020, August 17). Retrieved February 13, 2021, from EDUCBA website: https://www.educba.com/what-is-firebase/.
[16] Wijenayake, N. (2015). Corporate-LIS for Effective Land Administration of Sri Lanka. Retrieved from http://dr.lib.sjp.ac.lk/handle/123456789/1898.
[17] Improving-the-Quality-of-Land-Administration-in-Sri-Lanka-19-June-2017-final-draft-clean.pdf. (n.d.). Retrieved from http://documents1.worldbank.org/curated/en/750021530107195459/pdf/Improving-the-Quality-of-Land-Administration-in-Sri-Lanka-19-June-2017-final-draft-clean.pdf.
[18] Thilakarathne, R., Gunatilake, J., & Jayakody, J. (2008). Integrated Geographical Buffering System for Land Taxation in Sri Lanka. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XXXVII (Part B4). Retrieved from https://www.researchgate.net/publication/237526321.
[19] Hallett, S. H., Sakrabani, R., Keay, C. A., & Hannam, J. A. (2017). Developments in land information systems: Examples demonstrating land resource management capabilities and options. Soil Use and Management, 33(4), 514–529. https://doi.org/10.1111/sum.12380.
[20] Land Resources Information System (LRIS), Kerala (2013). Retrieved from GIS Resources website: http://www.gisresources.com/kerala-first-state-embark-land-resources-information-system-lris-india/.
[21] Bentley, (2017). Federated GIS Based on Bentley Map Enables Cancún to Collect 66 Percent More Property Tax—Geospatial World. Retrieved https://www.geospatialworld.net/article/bentley-federated-gis-based-on-bentley-map-enables-cancun-to-collect-66-percent-more-property-tax/.
[22] Martey, S. and Tagoe N. (2012). Geo-property tax information system a case study of the Tarkwa Nsuaem municipality, Ghana, Paper of FIG Working Week. Retrieved from https://www.fig.net/resources/proceedings/fig_proceedings/fig2012/papers/ts05g/TS05G_mantey_tagoe_5882.pdf.
[23] Mobile Operating System Market Share Sri Lanka. (n.d.). Retrieved Feb 13, 2021, from Stat Counter Global Stats website: https://gs.statcounter.com/os-market-share/mobile/Sri%20Lanka.
@article{"International Journal of Architectural, Civil and Construction Sciences:80357", author = "Kumara Jayapathma J. H. M. S. S. and Dampegama S. D. P. J.", title = "Real-Time Land Use and Land Information System in Homagama Divisional Secretariat Division ", abstract = "Lands are valuable & limited resource which constantly changes with the growth of the population. An efficient and good land management system is essential to avoid conflicts associated with lands. This paper aims to design the prototype model of a Mobile GIS Land use and Land Information System in real-time. Homagama Divisional Secretariat Division situated in the western province of Sri Lanka was selected as the study area. The prototype model was developed after reviewing related literature. The methodology was consisted of designing and modeling the prototype model into an application running on a mobile platform. The system architecture mainly consists of a Google mapping app for real-time updates with firebase support tools. Thereby, the method of implementation consists of front-end and back-end components. Software tools used in designing applications are Android Studio with JAVA based on GeoJSON File structure. Android Studio with JAVA in GeoJSON File Synchronize to Firebase was found to be the perfect mobile solution for continuously updating Land use and Land Information System (LIS) in real-time in the present scenario. The mobile-based land use and LIS developed in this study are multiple user applications catering to different hierarchy levels such as basic users, supervisory managers, and database administrators. The benefits of this mobile mapping application will help public sector field officers with non-GIS expertise to overcome the land use planning challenges with land use updated in real-time.
", keywords = "Android, Firebase, GeoJSON, GIS, JAVA, JSON, LIS, mobile GIS, real-time, REST API.", volume = "15", number = "6", pages = "186-12", }
