Remote sensing investigation of spatiotemporal land-use changes

A case study of Batticaloa town in sri lanka from 1979 to 2021

Keywords: Land use, Land cover, Remote sensing, GIS, Urbanization

Abstract

Rapid and haphazard urbanization has disastrous environmental and socio-economic consequences. The increase of unofficial habitation characterizes urbanization in Batticaloa town. Urban land use and cover changes require research to plan and ensure long-term growth. This study employed geographic information systems and Landsat imagery from 1979, 2000, and 2021 to look at regional and temporal variations in Batticaloa's land use cover. A support vector machine and supervised classification constructed the land use cover maps. The transition matrices produced from the classified map were further investigated to find the essential change processes for prioritizing planning, and during the 42 years investigated, built-up, including residential, commercial, and public facilities, increased in a similar vein (i.e., mangroves, paddyland, vegetation-covered areas, and shrubs). Land use cover modifications happened more quickly between 2000 and 2021 than between 1979 and 2000. The analysis found that only one land-use category, net built-up area changes, grew by 8.2%, and the average yearly change was 0.22%. By  21.9%, paddy land area substantially increased. Bare lands rose 4.45%, and thick woods fell 21.37%. These data show built-up areas frequently targeted bare terrain. This research laid the groundwork for long-term urban planning and development in Batticaloa Town. 

Downloads

Download data is not yet available.

Author Biographies

Kulasegaram Partheepan, Department of Biosystems Technology Faculty of Technology, South Eastern University of Sri Lanka

Kulasegaram Partheepan, a PhD student at the Faculty of Technology, South Eastern University of Sri Lanka, is an experienced development professional with over 16 years of involvement with the United Nations. He has dedicated his career to supporting crisis recovery efforts in the North and East provinces of Sri Lanka. Partheepan is actively engaged in research within the fields of Geoinformatics, Climate Change, and Environmental Science. He holds an MSc in Geoinformatics from the Postgraduate Institute of Agriculture at the University of Peradeniya. Furthermore, he completed his bachelor's degree at the Eastern University of Sri Lanka. 

Muneeb M. Musthafa, South Eastern University of Sri Lanka

Dr. Muneeb M. Musthafa is a senior lecturer and head of Biosystems Technology, Faculty of Technology, South Eastern University of Sri Lanka, Sri Lanka. He has been an active researcher in the field of ecology, biodiversity, conservation, environmental science and animal science. He has completed PhD from the University of Malaya, Malaysia under the International Graduate Research Scholarship, where he carried out his research on beetle diversity in a montane ecosystem of Malaysia. He has completed his bachelor’s degree from the University of Peradeniya, Sri Lanka and his MSc in Animal Science from King Saud University, Saudi Arabia under scholarship, where he has worked on a number of projects related to genetic diversity of goat and sheep of Saudi Arabia. Then he extended his research expertise at China (Chinese Academy of Agricultural Sciences, Beijing) on fecundity gene and Ege University, Turkey. So far, he has produced more than 50 peer-reviewed, indexed journal research articles, while participating in a number of international conferences. He is a member of a number of international societies and recently became the chief editor of a new journal called Sri Lankan Journal Technology. He has contributed immensely to establishing postgraduate research degree programs at the Faculty of Technology, South Eastern University of Sri Lanka, Sri Lanka. Recently he is working on microplastic pollution in marine ecosystems in collaboration with the Centre for Environment, Fisheries, and Aquaculture Science (CEFAS), UK. 

Thangamani Bhavan, Department of Economics, Faculty of Commerce & Management, Eastern University, Sri Lanka

Thangamani Bhavan is a Professor in Economics, attached to the Department of Economics, Faculty of Commerce and Management, Eastern University, Sri Lanka. He received his PhD in Western Economics at the School of Economics, Huazhong University of Science and Technology, and his MSc in Agricultural Economics at the Postgraduate Institute of Agriculture, University of Peradeniya. His teaching and research interests are in the area of international financial flows, Trade, and Environmental Resource Management. 

References

Addae, B., & Oppelt, N. (2019). Land-Use/Land-Cover Change Analysis and Urban Growth Modelling in the Greater Accra Metropolitan Area (GAMA), Ghana. Urban Science, 3(1), 26. https://doi.org/10.3390/urbansci3010026. [CrossRef]

Alo, C., & Pontius, R. G. (2008). Identifying Systematic Land-Cover Transitions Using Remote Sensing and GIS: The Fate of Forests Inside and Outside Protected Areas of Southwestern Ghana. Environment and Planning B: Planning and Design, 35(2), 280–295. https://doi.org/10.1068/b32091. [CrossRef]

Amarawickrama, S., Singhapathirana, P., & Rajapaksha, N. (2015). Defining urban sprawl in the Sri Lankan context: With particular reference to the Colombo Metropolitan Region. J. Asian Afr. Stud, 50, 590–614.

Anderson, J., Hardy, E., Roach, J., & Witmer, R. (1976). A land use and land cover classification system with remote sensor data. In Geological Survey Professional Paper; USGS (Vol. 964).

Antalyn, B., & Weerasinghe, V. P. A. (2020). Assessment of urban sprawl and its impacts on rural landmasses of Colombo district: A study based on remote sensing and GIS techniques. Asia-Pacific Journal of Rural Development, 30(1–2), 139–154. https://doi.org/10.1177/1018529120946245

Athukorala, P.-C., Ginting, E., Hill, H., & Kumar, U. (Eds.). (2017). The Sri Lankan economy:: Charting A new course. Asian Development Bank.

Bhatta, B. (2012). Urban Growth Analysis and Remote Sensing. Springer Briefs in Geography. https://doi.org/10.1007/978-94-007-4698-5

Bianconi, F., Clemente, M., Filippucci, M., & Salvati, L. (2018). Regenerating Urban Spaces: A Brief Commentary on Green Infrastructures for Landscape Conservation. TeMA Journal of Land Use Mobility and Environment, 11(1), 107–118. https://doi.org/10.6092/1970-9870/5216

Briones, P. L., & Sepúlveda-Varas, A. (2016). Systematic transitions in land use and land cover in a pre-andean sub-watershed with high human intervention in the Araucania region, chile. Ciencia E Investigacion Agraria. https://doi.org/10.4067/s0718-16202016000300006

Congalton, R. G., & Green, K. (2008). Assessing the Accuracy of Remotely Sensed Data. CRC Press EBooks. https://doi.org/10.1201/9781420055139

Department of Census and Statistics. (2020). Population and Housing; Department of Census and Statistics: Batticaloa, Sri Lanka, 2020.

Department of Economic and Social Affairs (UNDESA)/Population Division. (2019). In World Population Prospects: The 2018 Revision, Key Facts; United Nations.

Dissanayake, S., Asafu-Adjaye, J., & Mahadeva, R. (2017). Addressing climate change cause and effect on land cover and land use in South Asia. Land Use Policy, 67, 352–366.

Estoque, R. C., & Murayama, Y. (2013). Landscape pattern and ecosystem service value Change Implications for environmental Sustainability planning for the rapidly urbanising summer capital of the Philippines. Landsc. Urban Plan, 116, 60–72.

Fahad, K. H., Hussein, S. A., & Dibs, H. (2020). Spatial-Temporal Analysis of Land Use and Land Cover Change Detection Using Remote Sensing and GIS Techniques. IOP Conference Series. https://doi.org/10.1088/1757-899x/671/1/012046

Fan, F., Weng, Q., & Wang, Y. (1998). Land use land cover change in Guangzhou, China, from 1998 to 2003, based on Landsat TM/ETM+ imagery. Based on Landsat TM/ETM+ Imagery. Sensors, 7, 1323–1342.

Fistola, R., Rastelli, A. (2021). Envisaging Urban Changes for the Smart City: The Live City Information Modeling (LCIM). In: La Rosa, D., Privitera, R. (eds) Innovation in Urban and Regional Planning. INPUT 2021. Lecture Notes in Civil Engineering, vol 146. Springer, Cham. https://doi.org/10.1007/978-3-030-68824-0_17

Grimm, G. (2008). Spatial-Temporal Analysis of Land Use and Land Cover Change Detection Using Remote Sensing and GIS Techniques. IOP Conference Series. Sciencemag.org. https://doi.org/10.1088/1757-899x/671/1/012046

Grogan, K., Pflugmacher, D., Hostert, P., Kennedy, R., & Fensholt, R. (2015). Cross-border forest disturbance and the role of natural rubber in mainland Southeast Asia using annual Landsat time series. Remote Sensing of Environment, 169, 438–453. https://doi.org/10.1016/j.rse.2015.03.001

Guindon, B., Zhang, Y., & Dillabaugh, C. (2004). Landsat urban mapping based on a combined spectral–spatial methodology. Remote Sensing of Environment, 92(2), 218–232. https://doi.org/10.1016/j.rse.2004.06.015

Gunasinghe, G. P., Ruhunage, L., Ratnayake, N. P., Ratnayake, A. S., Samaradivakara, G. V. I., & Jayaratne, R. (2021). Influence of manmade effects on geomorphology, bathymetry and coastal dynamics in a monsoon-affected river outlet in Southwest coast of Sri Lanka. Environmental Earth Sciences, 80(7). https://doi.org/10.1007/s12665-021-09555-0

Hansen, M. C., & Loveland, T. R. (2012). A review of large area monitoring of land cover change using Landsat data. Remote Sensing of Environment, 122, 66–74. https://doi.org/10.1016/j.rse.2011.08.024

Hapugala, G. (2013). Projecting land-use transitions in the Gin Catchment, Sri Lanka. Res. J. Environ. Earth Sci, 5, 473–480.

Hegazy, I. R., & Kaloop, M. R. (2015). Monitoring urban growth and land use change detection with GIS and remote sensing techniques in Daqahlia governorate Egypt. International Journal of Sustainable Built Environment, 4(1), 117–124. https://doi.org/10.1016/j.ijsbe.2015.02.005. [CrossRef]

Herold, M., Couclelis, H., & Clarke, K. C. (2005). The role of spatial metrics in analysing and modelling urban land-use change. Comput. Environ. Urban Syst, 29, 369–399.

Jensen, J. R. (2005). -Hall Series in Geographic Information Science. In Introductory Digital Image Processing-A Remote Sensing Perspective (pp. 467–494). Prentice Hall.

Jiménez, A., Vilchez, F., González, O., & Flores, S. (2018). Analysis of the land use and cover changes in the metropolitan area of tepic-xalisco (1973–2015) through Landsat images. Sustainability, 10(6), 1860. https://doi.org/10.3390/su10061860

Konrad, C. P. (2003). Effects of Urban Development on Floods; USGS Fact Sheet FS-076-03. USGS. Landsat-Earth Observation Satellite (Version 1.1) (Vol. 4). (2016). USGS.

Lindström, S., Mattsson, E., & Nissanka, S. P. (2012). Forest cover change in Sri Lanka: The role of small scale farmers. Applied Geography (Sevenoaks, England), 34, 680–692. https://doi.org/10.1016/j.apgeog.2012.04.011

Mahanama, P.K.S.; Abenayake, C.; Jayasinghe, A. Climate Change Vulnerability Assessment. Available online: Retrieved from: https://www.fukuoka.unhabitat.org/programmes/ccci/pdf/SRL5_Vulnerability_Assessment_Batticaloa.pdf (accessed on 18 December 2021).

Manandhar, R., Odeh, I. O. A., & Pontius, R. G., Jr. (2010). Analysis of twenty years of categorical land transitions in the Lower Hunter of New South Wales, Australia. Agriculture, Ecosystems & Environment, 135(4), 336–346. https://doi.org/10.1016/j.agee.2009.10.016

Mapa, R., Kumaragamage, D., Gunarathne, W., & Dassanayake, A. (2002). Land use in Sri Lanka: Past, present, and the future. In Proceedings of the 17th World Congress of Social Science (WCSS) (pp. 14–21).

Masakorala, P., & Dayawansa, N. (2015). Spatio-temporal Analysis of Urbanization, Urban Growth, and Urban Sprawl Since 1976-2011 in Kandy City and the Surrounding Area using GIS and Remote Sensing. Bhumi Plan. Res. J, 4, 26–44.

Masek, J. G., Lindsay, F. E., & Goward, S. N. (2000). Dynamics of urban growth in the Washington DC metropolitan area, 1973-1996, from Landsat observations. International Journal of Remote Sensing, 21(18), 3473–3486. https://doi.org/10.1080/014311600750037507

Mawenda, J., Watanabe, T., & Avtar, R. (2020). An analysis of urban land use/land cover changes in Blantyre city, southern Malawi (1994–2018). Sustainability, 12(6), 2377. https://doi.org/10.3390/su12062377

Mitra, A. P., Mitra, A. P., & Sharma, C. (2010). Global Environmental Changes in South Asia a Regional Perspective; Capital Pub. Capital Pub. Co.

Murayama, Y., Simwanda, M., & Ranagalage, M. (2021). Spatiotemporal Analysis of Urbanization Using GIS and Remote Sensing in Developing Countries. Sustainability, 13(7), 3681. https://doi.org/10.3390/su1307368

Mwathunga, E., & Donaldson, R. (2021). Urban land contestation, challenges, and planning strategies in Sri Lanka’s main urban centres. Land Use Policy, 77, 1–8.

Näsström, R., & Mattsson, E. (2011). Country Report Sri Lanka: Land-Use Change and Forestry at the National and Sub-National Level (Focali Report).

Olaniyi, A. O., & Abdullah, A. M. (2021). Characterization of drivers of agricultural land use change. Tema. Journal of Land Use, Mobility and Environment, 14 (3), 411-432. http://dx.doi.org/10.6092/1970-9870/8065

Ouedraogo, I., Savadogo, P., Tigabu, M., Dayamba, S. D., & Odén, P. C. (2011). Systematic and random transitions of land-cover types in Burkina Faso, West Asia. Int. J. Remote Sens, 32, 5229–5245.

Partheepan, K., & Manobavan, M. (2008). Assessment of land-use changes in the Batticaloa district for the preparation of a (spatial) zonation plan to aid in decision-making for development. Journal of Science.

Partheepan, K., Jeyakumar, P., & Manobavan, M. (2005). Development of a Time-series Model to Forecast Climatic data in the Batticaloa district. In Third National Symposium on Water Resources Research in Sri Lanka-Water Professional Day-2005.

Partheepan, K., Jeyakumar, P., & Manobavan, M. (2006). Time-series modelling of climatic variables and the response of paddy production to rainfall scenarios in the Batticaloa district.

Perera, K., & Tsuchiya, K. (2009). Experiment for mapping land cover and its change in southeastern Sri Lanka utilising 250m resolution MODIS imageries. Adv. Space Res, 43, 1349–1355.

Rathnayake, C. W. M., Simon, J., & Soto-Berelov, M. (2018). Identification of Major Trends and Patterns of Land Use and Land Cover Change (LULCC) in Sri Lanka using Landsat Time Series Imagery. In Proceedings of the Asian Conference on Remote Sensing (ACRS) (pp. 29–38).

Seevarethnam, M., Rusli, N., Ling, G. H. T., & Said, I. (2021). A Geospatial Analysis for characterising urban sprawl patterns in the Batticaloa municipal council, Sri Lanka. Land, 10(6), 636. https://doi.org/10.3390/land10060636

Shoyama, K., & Braimoh, A. K. (2011). Analysing about sixty years of land-cover change and associated landscape fragmentation in Shiretoko Peninsula, Northern Japan. Northern Japan. Landsc. Urban Plan, 101, 22–29.

Subasinghe, S., Estoque, R., & Murayama, Y. (2016). Spatiotemporal analysis of urban growth using GIS and remote sensing: A case study of the Colombo metropolitan area, Sri Lanka. ISPRS International Journal of Geo-Information, 5(11), 197. https://doi.org/10.3390/ijgi5110197

Sundarakumar, K., Harika, M., Aspiya Begum, S. K., Yamini, S., & Balakrishna, K. (2012). Land use and Land cover Change Detection and Urban Sprawl Analysis of Vijayawada City using Multi-temporal Landsat Data. Int. J. Eng. Sci. Technol, 4, 170–178.

Suthakar, K., & Bui, E. N. (1984). Land use/cover changes in the war-ravaged Ja_na Peninsula. Singap. J. Trop. Geogr, 29, 205–220.

Traore, A., Mawenda, J., & Komba, A. (2018). Land-cover change analysis and simulation in Conakry (guinea), using hybrid cellular-automata and Markov model. Urban Science, 2(2), 39. https://doi.org/10.3390/urbansci2020039

Willis, K. S. (2015). Remote sensing change detection for ecological monitoring in United States protected areas. Biological Conservation, 182, 233–242. https://doi.org/10.1016/j.biocon.2014.12.006

Yang, X., & Lo, C. P. (2002). Using a time series of satellite imagery to detect land use and land cover changes in the Atlanta, Georgia metropolitan area. International Journal of Remote Sensing, 23(9), 1775–1798. https://doi.org/10.1080/01431160110075802

Yuan, F. (2008). Land-cover change and environmental impact analysis in the Greater Mankato area of Minnesota using remote sensing and GIS Int. J. Remote Sens, 29, 1169–1184.

Wickramaarachchi, T.N., Ishidaira, H., Wijayaratna, T.M.N. (2013), “Streamflow, suspended solids, and turbidity characteristics of the Gin River, Sri Lanka”, Engineer, 46 (04) (2013), 43-51.

Zhang, Y., & Sun, L. (2019). Spatial-temporal impacts of urban land use land cover on land surface temperature: Case studies of two Canadian urban areas. International Journal of Applied Earth Observation and Geoinformation: ITC Journal, 75, 171–181. https://doi.org/10.1016/j.jag.2018.10.005

Published
2023-07-21
How to Cite
PartheepanK., MusthafaM. M., & BhavanT. (2023). Remote sensing investigation of spatiotemporal land-use changes. TeMA - Journal of Land Use, Mobility and Environment, 16(2), 383-402. https://doi.org/10.6093/1970-9870/9908