Urban growth trend analysis using GIS techniques—a case study of the Bombay metropolitan region

Pathan, S. K.; Sastry, S. V. C.; Dhinwa, P. S.; Rao, Mukund; Majumdar, K L; Kumar, Dilip; Patkar, Vivek; Phatak, V. N.

doi:10.1080/01431169308904431

Cited by 42 publications

(13 citation statements)

References 2 publications

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“…Urban land use/land cover change-detection and ecosystems have been analysed by many researchers (Welch and Ehlers 1987, Thomas et al 1987, Pathan et al 1993 Muh Dimyati et al 1996). Many urban land use studies have assessed the use of remote sensing images through disparate methods of classi® cation to generate accurate urban land use maps and also to detect changes in urban land use/land cover (Jensen and Toll 1982, Toll 1985, Haack et al 1987, Forster and Jones 1988.…”

Section: Introductionmentioning

confidence: 99%

Appraising the anatomy and spatial growth of the Bangkok Metropolitan area using a vegetation-impervious-soil model through remote sensing

Madhavan

Kubo

Kurisaki

et al. 2001

International Journal of Remote Sensing

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In this study, Landsat 5-TM data were used to map urban land classes and the changes that occurred within them over a period of six years. The land classes were identi® ed by Landsat 5-TM scenes taken in the same season in 1988 and 1994. The phenomena of land class changes were evaluated by adopting two remote sensing approaches, namely mapping and modelling, in a case study of the Bangkok Metropolitan area of Thailand. The quantitative results of changes, which were computed from a post-classi® cation method, were used to analyse the pattern of changes in the urban land classes. The change-detection analysis indicated that 2% of agricultural land was lost, and there was a 14% increase in the commercial areas. The results demonstrated that the pattern of change in the urban land classes in Bangkok was that of agriculture lands to open lands; open lands to residential, and residential to commercial. The highest commercial land growth was observed in the high-density residential areas along main roads and the railway line.Data were generated from the two dates of TM images for the vegetationimpervious-soil (V-I-S) composition model. The trends of changes in the urban land classes and the anatomy of the study area were presented quantitatively through the V-I-S model. Good agreement was obtained between the values of changes computed for the impervious surfaces from the V-I-S model (which showed 6% changes) and the change-detection map (which showed 5.6% changes). The results of changes in the spatial pattern of commercial and residential areas ( high, medium and low) emphasize that remote sensing data can be used for V-I-S modelling and mapping of urban surface features.

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Section: Introductionmentioning

confidence: 99%

Appraising the anatomy and spatial growth of the Bangkok Metropolitan area using a vegetation-impervious-soil model through remote sensing

Madhavan

Kubo

Kurisaki

et al. 2001

International Journal of Remote Sensing

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“…with the irretrievable loss of ground prospects (Pathan et al, 1989(Pathan et al, , 1991(Pathan et al, , 1993(Pathan et al, , 2004. The process of urbanisation could be either in the form of townships or unplanned or organic.…”

Section: Introductionmentioning

confidence: 97%

Insights to urban dynamics through landscape spatial pattern analysis

Ramachandra

Aithal

Sanna

2012

International Journal of Applied Earth Observation and Geoinfor

234

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“…Both GIS and Earth Observation (EO) approaches are necessary strategies for implementing appropriate actions, including a) formulating better land use policies (e.g., growth boundaries), b) responding to transportation and utility demand, c) providing infrastructure, d) identifying future development pressure points, and e) developing ex-ante visions of urbanization process implications, among others. Remote sensing data integration into GIS system allowed continuity of the measurements performed, otherwise not possible when using only cartographic maps [19]. Measures of urban classes are actually based on the urbanized areas, namely those areas no longer agricultural but largely transformed with buildings, services and various infrastructures that, over time, have drastically changed the appearance of the primitive landscape.…”

Section: The Megacity Of Rome and The Urban Sprawl Phenomenonmentioning

confidence: 99%

Combined Remote Sensing and GIS Techniques for Studying the Large Roman Urban System Expansion during the Last Twenty Years

Loret¹,

Martino²,

Fea³

et al. 2015

ARS

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Several factors may contribute to on-going challenges for spatial planning and policy in megacities such as Rome, including rapid population shifts, poorly organized areas, and lack of data through which monitoring urban growth and land use change. This research was conducted to examine past and current effects of the urbanization process, occurred over the large Roman urban system, on the basis of multi-source and multi-temporal optical remote sensing (RS) data, collected between 1990 and 2013. These changes were then validated via Geographic Information System (GIS) techniques, in a particular procedure applied to urban land/agricultural transformations. The proposed approach, based on geo-statistical methods, was used to calculate the index of innovative space (AP Index), useful for the monitoring of the urban sprawl phenomenon. Strong evidence of urban expansion over the north-eastern quarter of the city, accompanied by environmental degradation and loss of biodiversity, is provided. Urban infill developments are expected to emerge in the south-eastern areas too, and these might increase urban pressure as well. In conclusion, RS and GIS technologies together with ancillary data can be used to assist decision makers in preparing future plans to find out appropriate solutions to urbanization encroachment.

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Urban growth trend analysis using GIS techniques—a case study of the Bombay metropolitan region

Cited by 42 publications

References 2 publications

Appraising the anatomy and spatial growth of the Bangkok Metropolitan area using a vegetation-impervious-soil model through remote sensing

Appraising the anatomy and spatial growth of the Bangkok Metropolitan area using a vegetation-impervious-soil model through remote sensing

Insights to urban dynamics through landscape spatial pattern analysis

Combined Remote Sensing and GIS Techniques for Studying the Large Roman Urban System Expansion during the Last Twenty Years

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