2011
DOI: 10.4236/jep.2011.29147
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Dynamics of Urbanization and Its Impact on Land-Use/Land-Cover: A Case Study of Megacity Delhi

Abstract: The rapid expansion of urban areas due to rise in population and economic growth is increasing additional demand on natural resources thereby causing land-use changes especially in megacities. Therefore, serious problems associated with rapid development such as additional infrastructure, informal settlements, environmental pollution, destruction of ecological structure and scarcity of natural resources has been studied carefully using remote sensing and GIS technologies for a rapidly grown megacity namely, De… Show more

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Cited by 190 publications
(93 citation statements)
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“…Landscape heterogeneity often varies between rural and downtown areas (Kane et al, 2014;Lopez, Bocco, Mendoza, & Duhau, 2001;Mohan, Pathan, Narendrareddy, Kandya, & Pandey, 2011;Schneider & Woodcock, 2008;Siciliano, 2012;Tian, Qi, & Zhang, 2012), reflecting differences in land-use diversity including patch size and land-use class types (Haregeweyn et al, 2012;McGarigal & Marks, 1995;Plexida, Sfougaris, Ispikoudis, & Papanastasis, 2014). Recently, entropy theory has been shown to be capable for analyzing land-use diversity (Morelli, Pruscini, Santolini, & Perna, 2013).…”
Section: Land-use Information Entropy Modelmentioning
confidence: 99%
“…Landscape heterogeneity often varies between rural and downtown areas (Kane et al, 2014;Lopez, Bocco, Mendoza, & Duhau, 2001;Mohan, Pathan, Narendrareddy, Kandya, & Pandey, 2011;Schneider & Woodcock, 2008;Siciliano, 2012;Tian, Qi, & Zhang, 2012), reflecting differences in land-use diversity including patch size and land-use class types (Haregeweyn et al, 2012;McGarigal & Marks, 1995;Plexida, Sfougaris, Ispikoudis, & Papanastasis, 2014). Recently, entropy theory has been shown to be capable for analyzing land-use diversity (Morelli, Pruscini, Santolini, & Perna, 2013).…”
Section: Land-use Information Entropy Modelmentioning
confidence: 99%
“…Benali et al [28] and Zakšek and Oštir [29] estimated surface temperature using MODIS data. Mallick et al [30] relied on Landsat data while, Mohan et al [31] used LISS III data for establishing relationship between urbanization and land use/cover of Delhi. On the other hand, Kant et al [21] based the research using ASTER data and Roy et al [32] by installing temperature recording instruments over Delhi.…”
Section: Introductionmentioning
confidence: 99%
“…The thermal comfort is affected by climate variables (air temperature, mean radiant temperature, dewpoint or relative humidity and the wind flow), personal variables (clothes and activities, adaptation and acclimatization) [13]. Indoor thermal comfort is different from the outdoor [14] [19]. Some indoor thermal comfort indexes are able to measure outdoor thermal comfort [11].…”
Section: Literature Reviewmentioning
confidence: 99%