Monitoring urbanization dynamics in india using DMSP/OLS night time lights and SPOT-VGT data

Bhartendu Pandey; P. K. Joshi; Karen C. Seto

doi:10.1016/j.jag.2012.11.005

Monitoring urbanization dynamics in india using DMSP/OLS night time lights and SPOT-VGT data

Bhartendu Pandey, P. K. Joshi, Karen C. Seto

Research output: Contribution to journal › Article › peer-review

186 Scopus citations

Abstract

India is a rapidly urbanizing country and has experienced profound changes in the spatial structure of urban areas. This study endeavours to illuminate the process of urbanization in India using Defence Meteorological Satellites Program - Operational Linescan System (DMSP-OLS) night time lights (NTLs) and SPOT vegetation (VGT) dataset for the period 1998-2008. Satellite imagery of NTLs provides an efficient way to map urban areas at globaland national scales. DMSP/OLS dataset however lacks continuity and comparability; hence the dataset was first intercalibrated using second order polynomial regression equation. The intercalibrated dataset along with SPOT-VGTdataset for the year 1998 and 2008 were subjected to a support vector machine (SVM) method to extract urban areas. SVM is semi-automated technique that overcomes the problems associated with the thresholding methods for NTLsdata and hence enables for regional and national scale assessment of urbanization. The extracted urban areas were validated with Google Earth images and global urban extent maps. Spatial metrics were calculated and analyzed state-wise to understand the dynamism of urban areas in India. Significant changes in urban proportion were observed in Tamil Nadu, Punjab and Kerala while other states also showed a high degree of changes in area wise urbanproportion.

Original language	English
Pages (from-to)	49-61
Number of pages	13
Journal	International Journal of Applied Earth Observation and Geoinformation
Volume	23
Issue number	1
DOIs	https://doi.org/10.1016/j.jag.2012.11.005
State	Published - 2013
Externally published	Yes

Funding

PKJ acknowledge Department of Science and Technology (DST), Ministry of Science and Technology, Government of India. The experimental and computational facilities of TERI University have been used; support to this research is greatly acknowledged by authors. Authors also acknowledge anonymous reviewers for constructive comments and suggestions to improve quality of manuscript.

Funders	Funder number
National Science Foundation	1229429
Department of Science and Technology, Ministry of Science and Technology, India
Ministry of Science and Technology, Taiwan

Keywords

Intercalibration
Landscape metrics
Night time lights
Support vector machine
Urban growth

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.jag.2012.11.005

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abstract = "India is a rapidly urbanizing country and has experienced profound changes in the spatial structure of urban areas. This study endeavours to illuminate the process of urbanization in India using Defence Meteorological Satellites Program - Operational Linescan System (DMSP-OLS) night time lights (NTLs) and SPOT vegetation (VGT) dataset for the period 1998-2008. Satellite imagery of NTLs provides an efficient way to map urban areas at globaland national scales. DMSP/OLS dataset however lacks continuity and comparability; hence the dataset was first intercalibrated using second order polynomial regression equation. The intercalibrated dataset along with SPOT-VGTdataset for the year 1998 and 2008 were subjected to a support vector machine (SVM) method to extract urban areas. SVM is semi-automated technique that overcomes the problems associated with the thresholding methods for NTLsdata and hence enables for regional and national scale assessment of urbanization. The extracted urban areas were validated with Google Earth images and global urban extent maps. Spatial metrics were calculated and analyzed state-wise to understand the dynamism of urban areas in India. Significant changes in urban proportion were observed in Tamil Nadu, Punjab and Kerala while other states also showed a high degree of changes in area wise urbanproportion.",

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Monitoring urbanization dynamics in india using DMSP/OLS night time lights and SPOT-VGT data

Abstract

Funding

Keywords

UN SDGs

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