Spatiotemporal Analysis of Urban Growth Using GIS and Remote Sensing: A Case Study of the Colombo Metropolitan Area, Sri Lanka

Understanding urban growth spatiotemporally is important for landscape and urban development planning. In this study, we examined the spatiotemporal pattern of urban growth of the Colombo Metropolitan Area (CMA)—Sri Lanka’s only metropolitan area—from 1992 to 2014 using remote sensing data and GIS techniques. First, we classified three land-use/cover maps of the CMA (i.e., for 1992, 2001, and 2014) using Landsat data. Second, we examined the temporal pattern of urban land changes (ULCs; i.e., land changes from non-built-up to built-up) across two time intervals (1992–2001 and 2001–2014). Third, we examined the spatial pattern of ULCs along the gradients of various driver variables (e.g., distance to roads) and by using spatial metrics. Finally, we predicted the future urban growth of the CMA (2014–2050). Our results revealed that the CMA’s built-up land has increased by 24,711 ha (221%) over the past 22 years (11,165 ha in 1992 to 35,876 ha in 2014), at a rate of 1123 ha per year. The analysis revealed that ULC was more intense or faster during the 2000s (1268 ha per year) than in the 1990s (914 ha per year), coinciding with the trends of population and economic growth. The results also revealed that most of the ULCs in both time intervals occurred in close proximity to roads and schools, while also showing some indications of landscape fragmentation and infill urban development patterns. The ULC modeling revealed that by 2030 and 2050, the CMA’s built-up land will increase to 42,500 ha and 56,000 ha, respectively. Most of these projected gains of built-up land will be along the transport corridors and in proximity to the growth nodes. These findings are important in the context of landscape and urban development planning for the CMA. Overall, this study provides valuable information on the landscape transformation of the CMA, also highlighting some important challenges facing its future sustainable urban development.

[1]  Robert Gilmore Pontius,et al.  Uncertainty in the difference between maps of future land change scenarios , 2009 .

[2]  Yuji Murayama,et al.  A geospatial approach for detecting and characterizing non-stationarity of land-change patterns and its potential effect on modeling accuracy , 2014 .

[3]  Athanassios I. Sfougaris,et al.  electing landscape metrics as indicators of spatial heterogeneity — A omparison among Greek landscapes , 2013 .

[4]  P. Verburg,et al.  Linking Land Change with Driving Forces and Actors: Four Conceptual Models , 2010 .

[5]  Peter Ellis,et al.  Leveraging Urbanization in South Asia: Managing Spatial Transformation for Prosperity and Livability , 2015 .

[6]  Yuji Murayama,et al.  Geospatial analysis of urban landscape patterns in three major cities of Southeast Asia , 2014 .

[7]  R. Emmanuel Thermal comfort implications of urbanization in a warm-humid city: the Colombo Metropolitan Region (CMR), Sri Lanka , 2005 .

[8]  J. Kamini,et al.  Spatio-temporal analysis of land use in urban mumbai -using multi-sensor satellite data and gis techniques , 2006 .

[9]  Ronald R Rindfuss,et al.  Developing a science of land change: challenges and methodological issues. , 2004, Proceedings of the National Academy of Sciences of the United States of America.

[10]  F. Aguilera,et al.  Landscape metrics in the analysis of urban land use patterns: A case study in a Spanish metropolitan area , 2011 .

[11]  B. Cohen Urbanization in developing countries: Current trends, future projections, and key challenges for sustainability , 2006 .

[12]  Randy Stringer,et al.  Food Security in Asia , 1997 .

[13]  K. Clarke,et al.  Diffusion and Coalescence of the Houston Metropolitan Area: Evidence Supporting a New Urban Theory , 2005 .

[14]  Eric Vaz,et al.  Spatiotemporal simulation of urban growth patterns using agent-based modeling: The case of Tehran , 2013 .

[15]  R. P. Misra,et al.  Urbanisation in South Asia: Colombo: The Primate City of Sri Lanka , 2012 .

[16]  Eric Koomen,et al.  Comparing the input, output, and validation maps for several models of land change , 2008 .

[17]  Basil van Horen City Profile: Colombo , 2002 .

[18]  Keith Wiley,et al.  Infill Development: Perspectives and Evidence from Economics and Planning , 2011 .

[19]  R. Pontius,et al.  Intensity analysis to unify measurements of size and stationarity of land changes by interval, category, and transition , 2012 .

[20]  Atiqur Rahman,et al.  Monitoring Urban Sprawl Using Remote Sensing and GIS Techniques of a Fast Growing Urban Centre, India , 2011, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[21]  Martin Paegelow,et al.  Inductive pattern-based land use/cover change models: A comparison of four software packages , 2014, Environ. Model. Softw..

[22]  Y. Yamagata,et al.  Land-cover change analysis in 50 global cities by using a combination of Landsat data and analysis of grid cells , 2014 .

[23]  A. Tatem,et al.  Detecting Change in Urban Areas at Continental Scales with MODIS Data , 2015 .

[24]  P. Shi,et al.  Modeling the urban landscape dynamics in a megalopolitan cluster area by incorporating a gravitational field model with cellular automata , 2013 .

[25]  Priyakant Sinha,et al.  Rank-Based Methods for Selection of Landscape Metrics for Land Cover Pattern Change Detection , 2016, Remote. Sens..

[26]  E. Lambin,et al.  The emergence of land change science for global environmental change and sustainability , 2007, Proceedings of the National Academy of Sciences.

[27]  G. Heilig,et al.  Socio-economic driving forces of land-use change in Kunshan, the Yangtze River Delta economic area of China. , 2007, Journal of environmental management.

[28]  S. Myint,et al.  A comparison of spatial autocorrelation indices and landscape metrics in measuring urban landscape fragmentation , 2014 .

[29]  Y. Murayama,et al.  Urban mapping, accuracy, & image classification: A comparison of multiple approaches in Tsukuba City, Japan , 2009 .

[30]  Daniel L. Civco,et al.  Quantifying and Describing Urbanizing Landscapes in the Northeast United States , 2002 .

[31]  Charu Lata Hogg Sri Lanka: Prospects for Reform and Reconciliation , 2011 .

[32]  Sean Sloan,et al.  How accurately may we project tropical forest-cover change? A validation of a forward-looking baseline for REDD , 2012 .

[33]  B. Mandelbrot Fractal Geometry of Nature , 1984 .

[34]  Md. Humayun Kabir,et al.  Urbanisation and environmental degradation in Dhaka Metropolitan Area of Bangladesh , 2012 .

[35]  Xia Li,et al.  A new landscape index for quantifying urban expansion using multi-temporal remotely sensed data , 2010, Landscape Ecology.

[36]  Rajesh Bahadur Thapa,et al.  Examining Spatiotemporal Urbanization Patterns in Kathmandu Valley, Nepal: Remote Sensing and Spatial Metrics Approaches , 2009, Remote. Sens..

[37]  Kamal Siddiqui,et al.  Social Formation in Dhaka, 1985-2005: A Longitudinal Study of Society in a Third World Megacity , 2010 .

[38]  Jamal Jokar Arsanjani,et al.  ntegration of logistic regression , Markov chain and cellular automata odels to simulate urban expansion amal , 2012 .

[39]  M. Mcdonnell,et al.  The use of gradient analysis studies in advancing our understanding of the ecology of urbanizing landscapes: current status and future directions , 2008, Landscape Ecology.

[40]  Akbar Rahimi,et al.  A methodological approach to urban land-use change modeling using infill development pattern—a case study in Tabriz, Iran , 2016, Ecological Processes.

[41]  Somik V. Lall,et al.  Sri Lanka - Reshaping economic geography : connecting people to prosperity , 2009 .

[42]  Martin Paegelow,et al.  Comparison of simulation models in terms of quantity and allocation of land change , 2015, Environ. Model. Softw..

[43]  I. P. Senanayake,et al.  Urban green spaces analysis for development planning in Colombo, Sri Lanka, utilizing THEOS satellite imagery – A remote sensing and GIS approach , 2013 .

[44]  John N. DiBari,et al.  Evaluation of five landscape-level metrics for measuring the effects of urbanization on landscape structure: the case of Tucson, Arizona, USA , 2007 .

[45]  Akira Ohgai,et al.  Modeling Land Conversion in the Colombo Metropolitan Area Using Cellular Automata , 2007 .

[46]  Jianguo Wu,et al.  A gradient analysis of urban landscape pattern: a case study from the Phoenix metropolitan region, Arizona, USA , 2004, Landscape Ecology.

[47]  Xiao Li-xin,et al.  On Poverty Alleviation , 2011 .

[48]  Shixiao Yu,et al.  Monitoring urban expansion and its effects on land use and land cover changes in Guangzhou city, China , 2015, Environmental Monitoring and Assessment.

[49]  A. Karnieli,et al.  Comparison of methods for land-use classification incorporating remote sensing and GIS inputs , 2011 .

[50]  Yuji Murayama,et al.  Landscape pattern and ecosystem service value changes: Implications for environmental sustainability planning for the rapidly urbanizing summer capital of the Philippines , 2013 .

[51]  Yuji Murayama,et al.  Examining the potential impact of land use/cover changes on the ecosystem services of Baguio city, the Philippines: A scenario-based analysis , 2012 .

[52]  Y. Murayama,et al.  Quantifying landscape pattern and ecosystem service value changes in four rapidly urbanizing hill stations of Southeast Asia , 2016, Landscape Ecology.

[53]  Michael C. Houck In livable cities is preservation of the wild , 2010 .

[54]  A. Dewan,et al.  Using remote sensing and GIS to detect and monitor land use and land cover change in Dhaka Metropolitan of Bangladesh during 1960–2005 , 2009, Environmental monitoring and assessment.

[55]  A. Dewan,et al.  Land use and land cover change in Greater Dhaka, Bangladesh: Using remote sensing to promote sustainable urbanization , 2009 .

[56]  Y. Murayama,et al.  Intensity and spatial pattern of urban land changes in the megacities of Southeast Asia , 2015 .

[57]  Clive A. McAlpine,et al.  The eco-social transformation of urban wetlands: A case study of Colombo, Sri Lanka , 2014 .

[58]  T. Esch,et al.  Monitoring urbanization in mega cities from space , 2012 .

[59]  K. Seto,et al.  Modeling Land Use and Land Cover Change , 2012 .

[60]  G. D. Jenerette,et al.  Quantifying spatiotemporal patterns of urbanization: The case of the two fastest growing metropolitan regions in the United States , 2011 .

[61]  Nitin Khanna,et al.  Assessing uncertainty dimensions in land-use change models: using swap and multiplicative error models for injecting attribute and positional errors in spatial data , 2014 .

[62]  Yasushi Yamaguchi,et al.  Dynamics of land use/cover changes and the analysis of landscape fragmentation in Dhaka Metropolitan, Bangladesh , 2012 .

[63]  Jianguo Wu,et al.  Quantifying the speed, growth modes, and landscape pattern changes of urbanization: a hierarchical patch dynamics approach , 2013, Landscape Ecology.