Trends and Patterns of Built-Up Expansion in the NCT of Delhi

Sandesh Yadav

Abstract


 Developmental processes have altered the landscape of NCT of Delhi through the widespread expansion of built-up and the decline in vegetation cover. The land use and land cover of the NCT of Delhi is dominated by the built-up as compared to the vegetation cover. This built-up expansion took place at the cost of agricultural/cultivable land. The present research study attempts to analyze the spatial and multi-temporal expansion in built-up by using Geographical Remote Sensing (GIS) and Remote Sensing. The present research study is based on the remote sensing data of Landsat-7 (TM), Landsat-7 (ETM+) and IRS-P6 LISS III of 1987, 1999 and 2006 respectively. The data interpretation and analysis of built-up expansion in the NCT of Delhi helps in understanding the changes in land cover, causes of built-up expansion and impact of built-up expansion on micro-climate.


Keywords


Built-Up, Grey Infrastructure, Developmental Processes, Micro-Climate Changes.

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References


H. Alphan, “Land Use Change and Urbanization in Adana, Turkey,” Land Degradation and Development, Vol. 14, No. 6, 2003, pp. 575-586. doi:10.1002/ldr.581

P. V. Bolstad and T. D. Lillesand, “Rapid Maximum Likelihood Classification,” Photogrammetric Engineering & Remote Sensing, Vol. 57, 1991, pp. 67-74.

A. M. Dewan and Y. Yamaguchi, “Land Use and Land Cover Change in Greater Dhaka, Bangladesh Using Remote Sensing to Promote Sustainable Urbanization,” Applied Geography, Vol. 29, 2009, pp. 390-401. doi: 10.1016/j.apgeog.2008.12.005

N. B. Grimm, J. M. Grove, S. T. A. Pickett and C. L. Redman, “Integrated Approach to Long-Term Studies of Urban Ecological Systems,” Bioscience, Vol. 50, No. 7, 2000, pp. 571-584. doi:10.1641/00063568(2000)050[0571: IATLTO]2.0.CO ;2

P. J. Hardin, M. W. Jackson and S. M. Otterstrom, “Map- ping, Measuring and Modeling Urban Growth,” Geo- spatial technologies in urban environments: Policy, prac- tice and pixels, 2007, pp. 141-176.

M. L. Imhoff, P. Zhang, E. Robert Wolfe and L. Bounoua, “Remote Sensing of the Urban Heat Island Effect across Biomes in the Continental USA,” Remote Sensing of Environment, Vol. 114, 2010, pp. 504-513. doi: 10.1016/j.rse.2009.10.008

S. Kato and Y. Yamaguchi, “Analysis of Urban Heat- Island Effect Using ASTER and ETM + Data: Separation of Anthropogenic Heat Discharge and Natural Heat Radiation from Sensible Heat Flux,” Remote Sensing of Environment, Vol. 99, No. 1-2, 2005, pp. 44-54.

E. Lopez, G. Bocco, M. Mendoza and E. Duhau, “Predicting Land Cover and Land Use Change in the Urban Fringe a Case in Morelia City, Mexico,” Landscape and Urban Planning, Vol. 55, No. 4, 2001, pp. 271-285.

M. Mohan, Lalit Dagar and B. R. Gurjar, “Preparation and Validation of Gridded Emission Inventory of Criteria Air Pollutants and Identification of Emission Hotspots for Megacity Delhi,” Environmental Monitoring and Assessment, Vol. 130, 2007, pp. 323-339. doi:10.1007/s10661-006-9400-9

M. Netzband and A. Rahman, “Urban Remote Sensing for a Fast-Growing Megacity: Delhi, India,” SPIE Inter- National Society Advancing an Interdisciplinary Approach to the Science and Application of Light, Berlin, Germany, 2007. http://spie.org/x17987.xml

T. V. Ramchandra and U. Kumar, “GRDSS for Land Use, Land Cover Dynamics Analysis,” Proceedings of the FOSS/GRASS Users Conference, Bangkok, Thailand, 2004.

M. K. Ridd and J. J. Liu, “A Comparison of Four Algo- rithms for Change Detection in an Urban Environment,” Remote Sensing of Environment, Vol. 63, 1998, pp. 95- 100. doi:10.1016/S0034-4257(97)00112-0

G. H. Rosenfield and K. Fitzpatirck-Lins, “A Coefficient of Agreement as a Measure of Thematic Classification Accuracy,” Photogrammetric Engineering & Remote Sensing, Vol. 52, No. 2, 1986, pp. 223-227.

P. Roudgarmi, M. Monavari, J. Feghhi, J. Nouri and N. Khorasani, “Environmental Impact Prediction Using Remote Sensing Images,” Journal of Zhejiang University Science A, Vol. 9, No. 3, 2008, pp. 381-390. doi:10.1631/jzus. A072222

D. A. Stow and D. M. Chen, “Sensitivity of Multi-Temporal NOAA AVHRR Data of an Urbanizing Region to Land Use/Cover Changes and Misregistration,” Remote Sensing of Environment, Vol. 80, 2002, pp. 297-307. doi:10.1016/S0034-4257(01)00311-X

H. S. Sudhira and T. V. Ramachandra, “Characterizing Urban Sprawl from Remote Sensing Data and Using Landscape Metrics,” 10th International Conference on Computers in Urban Planning and Urban Management, PR Brazil, 2007. http://eprints.iisc.ernet.in/11834/

B. L. Turner, “Local Faces, Global Flows: The Role of Land Use and Land Cover in Global Environmental Change,” Land Degradation and Development, Vol. 5, 1994, pp. 71-78. doi:10.1002/ldr.3400050204

R. Verma, K. Sangeeta Kumari and R. K.Tiwary, “Application of Remote Sensing and GIS Technique for Efficient Urban Planning in India,” Geomatrix Conference Proceedings, IIT Bombay, 2009. http://www.csre.iitb.ac.in/~csre/conf/wp-content/uploads/ fullpapers/OS4/OS4_13.pdf

Q. Weng, “A Remote Sensing-GIS Evaluation of Urban Expansion and Its Impact on Surface Temperature in the Zhujiang Delta, China,” International Journal of Remote Sensing, Vol. 22, No. 10, 2001, 1999-2014.

C. Weber and A. Puissant, “Urbanization Pressure and Modeling of Urban Growth: Example of the Tunis Metropolitan Area,” Remote Sensing of Environment, Vol. 86, 2003, pp. 341-352. doi:10.1016/S0034-4257(03)00077-4

J. Xiao, Y. Shen, J. Ge, R. Tateishi, C. Tang, Y. Liang and Z. Huang, “Evaluating Urban Expansion and Land Use Change in Shijiazhaung, China by Using GIS and Remote Sensing,” Landscape and Urban Planning, Vol. 75, 2006, pp.69-80. doi: 10.1016/j.landurbplan.2004.12.005

X. Yang and C. P. Lo, “Using a Time Series of Satellite Imagery to Detect Land Use and Cover Changes in the Atlanta, Georgia,” International Journal of Remote Sensing, Vol. 23, No. 9, 2002, pp.1775-1798. doi:10.1080/01431160110075802


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