Spatiotemporal Patterns of Urbanization: Mapping, Measurement, and Analysis

This chapter examines the spatiotemporal pattern of urbanization in Kathmandu Valley using remote sensing and spatial metrics techniques. The study is based on time series data compiled from satellite images acquired in the last four decades. A five-step hybrid technique is presented to create land use and land cover maps from remote sensing imagery. Urban built-up areas had a slow trend of growth in the 1960s and 1970s but have grown rapidly since the 1980s. The metrics of the urbanization process has confirmed that the landscape in the valley consists of fragmented and heterogeneous land use combinations. However, the refill type of development process in the city core and immediate fringe areas has shown a decreasing trend in the neighborhood distances between land use patches, and an increasing trend towards physical connectedness, which indicates a higher probability of homogenous landscape development in the upcoming decades.

[1]  T. M. Lillesand,et al.  Remote Sensing and Image Interpretation , 1980 .

[2]  Y. Murayama,et al.  Drivers of urban growth in the Kathmandu valley, Nepal: Examining the efficacy of the analytic hierarchy process , 2010 .

[3]  Jo Beall,et al.  Urbanization and Development , 2010 .

[4]  Peter Nijkamp,et al.  Multicriteria analysis for land-use management , 1998 .

[5]  Yuji Murayama,et al.  City Profile: Kathmandu , 2009 .

[6]  Nobukazu Nakagoshi,et al.  Changes in landscape spatial pattern in the highly developing state of Selangor, peninsular Malaysia , 2006 .

[7]  Bruce T. Milne,et al.  Indices of landscape pattern , 1988, Landscape Ecology.

[8]  Rajesh Bahadur Thapa,et al.  Urban growth modeling of Kathmandu metropolitan region, Nepal , 2011, Comput. Environ. Urban Syst..

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

[10]  Martin Herold,et al.  The spatiotemporal form of urban growth: measurement, analysis and modeling , 2003 .

[11]  K. Seto,et al.  Modeling the Drivers of Urban Land Use Change in the Pearl River Delta, China: Integrating Remote Sensing with Socioeconomic Data , 2003, Land Economics.

[12]  W. Mackaness,et al.  Encyclopedia of Geography , 2010 .

[13]  J. Ronald Eastman,et al.  Multi-criteria and multi-objective decision making for land allocation using GIS , 1998 .

[14]  Anthony Gar-On Yeh,et al.  Analyzing spatial restructuring of land use patterns in a fast growing region using remote sensing and GIS , 2004 .

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

[16]  John R. Jensen,et al.  Introductory Digital Image Processing: A Remote Sensing Perspective , 1986 .

[17]  Sunil Herat,et al.  Opportunities and challenges in implementing pollution prevention strategies to help revive the ailing carpet manufacturing sector of Nepal , 2008 .