Green to gray: Silicon Valley of India

Hariharan, Bharath; Vinay, S.; Chandan, M. C.; Gouri, B.A.; Ramachandra, T. V.

doi:10.1016/j.jenvman.2017.06.072

Cited by 27 publications

(6 citation statements)

References 17 publications

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“…This is in line with previous studies on LCC in Bengaluru, although the exact change rates may vary due to differences in study design (investigated time periods and spatial scales) and methods (definition of land cover classes, satellite sensors, spatial and temporal resolution, classification methods, and related misclassification errors). The study in [55] found an increase in built-up areas from 8% in 1973 to 58% in 2012 for Greater Bengaluru with a reduction in water bodies from 3.4% to less than 1%. Although, the inspected time periods differ, we found similar change rates for the increase in built-up areas in Greater Bengaluru (Appendix C) from 7.3% in 1965 to 52.4% in 2009, whereas our data showed a decrease in total water body area from 3% to 2%.…”

Section: Land Cover Changesmentioning

confidence: 94%

“…However, only a few studies have investigated the dynamics and changes in small urban wetlands and (lake) water bodies [50,51], such as those that prevail in the district Bengaluru Urban. For Bengaluru itself, such studies are either restricted to single lakes [52,53] or to a short time series [44,54,55]. So far, no comprehensive long-term study exists on the complex relationships between the structural changes in urbanizing landscapes and the fate of wetlands within them.…”

Section: Introductionmentioning

confidence: 99%

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Spatial and Temporal Dynamics of Urban Wetlands in an Indian Megacity over the Past 50 Years

2020

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Asian megacities have attracted much scientific attention in the context of global urbanization, but few quantitative studies analyze wetland transformation in the rural–urban interface. With its rampant growth and transformation from a tree-lined “Garden City” to a busy megalopolis with often-blocked highways and large built-up areas, Bengaluru (Karnataka, S-India) is a good example for assessing how urbanization has led to the acute degradation of wetlands. We therefore investigated long-term land cover and wetland changes from 1965 to 2018 based on an object-based classification of multi-temporal Corona and Landsat images. To quantify and compare the dynamics of open water surfaces and vegetation, we defined the potential wetland areas (PWA) along the rural–urban gradient and linked our analyses to an index describing the degree of urbanization (survey stratification index (SSI)). During the five decades studied, built-up areas in the Bengaluru Urban district increased ten-fold, with the highest growth rate from 2014 to 2018 (+ 8% annual change). Patches of lake wetlands were highly dynamic in space and time, partly reflecting highly variable annual rainfall patterns ranging from 501 mm in 1965 to 1374 mm in 2005 and monsoon-driven alterations in the hydrologic regime. While water bodies and flooded areas shrunk from 64 km2 in 1965 to 55 km2 in 2018, in 1965, the total rural wetland area with an SSI > 0.5 was twice as high as in 2018. The rural–urban land cover pattern within potential wetland areas changed drastically during this period. This is reflected, for example, by a four-fold increase in the wetland area with an SSI of 0.3, as compared to a decline by 43% in wetland area with an SSI of 0.8. While, in urban areas, wetlands were mostly lost to construction, in areas with a rural character, open water bodies were mainly transformed into green space. The detected changes in urban wetlands were likely accompanied by ecological regime changes, triggering deteriorations in ecosystem services (ESS) which merit further research.

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Section: Land Cover Changesmentioning

confidence: 94%

Section: Introductionmentioning

confidence: 99%

Spatial and Temporal Dynamics of Urban Wetlands in an Indian Megacity over the Past 50 Years

2020

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“…Literature shows several studies on POSs have been conducted in India from various perspectives. Studies such as environmental impact on POSs, Chennai [13], analysis of environmental attributes of POSs, Pune [14], urbanisation impact on POSs, Bangalore [15], Facilities, services, and the appearance of POSs provide various benefits to the users [19,20]. The aim of the study is to identify the strengths and deficiencies of POSs that would help planners and designers to enhance their character and use.…”

Section: Introductionmentioning

confidence: 99%

Assessing Public Open Spaces: A Case of City Nagpur, India

Ahirrao

Khan

2021

Sustainability

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Major Indian cities have a lower public open space (POS)-capita ratio and do not meet national and international standards. Moreover, factors such as lack of design guidelines for POSs, limited funding, and lack of public participation have affected these limitedly available POSs and made them ineffective and incapable of meeting the contemporary needs of a diverse range of users. Therefore, it is essential to make them not only inclusive, user-friendly, attractive, and efficient, but also socially, economically, and environmentally sustainable in order to serve the various facilities and services at their optimum level. This study includes the assessment of two POSs to identify strengths and deficiencies that affect their character and use. These POSs are public parks, provide free access to users and are located in the city of Nagpur. For assessment, the study proposed the Public Open Space Index (POSI) that combines five aspects: Individual well-being, Inclusiveness, Engagement, Sustainable spaces, and Management.A mixed methods approach was considered for data collection, including a self-administered questionnaire survey and observations.According to the results, POSs have strengths in that they facilitate social cohesion, engagement, and basic facilities. POSs do not encourage equitable access and sustainable practices, which are considered deficiencies.The study helps planners, designers, and parenting authority to develop initiatives to make these limited POSs inclusive, functional, and sustainable.

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“…Conventional mapping, monitoring, and quantifying changes prove tedious. Remotely sensed data along with Geographical Information Systems (GIS) had played a significant role in identifying historical land-use change and prediction of future development (Bharath et al, 2018;Nimish et al, 2017;Schneider et al, 2003;Seto et al, 2000). It is evident from the literature that rapid urban expansion can have a substantial effect on the environment both at local and global scales (Cui, Ren, & Sun, 2015;Grimm et al, 2008;Patra et al, 2018;Ramachandra, Aithal, & Beas, 2014;Tan et al, 2005).…”

Section: Role Of Satellite Data and Models In Assessing City Dynamicsmentioning

confidence: 99%

Impact assessment of Corridor Oriented development

Chandrashekar

Aithal

2021

IRSPSD International

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Rapid urbanisation has been a factor affecting cities negatively and irreversibly in developing countries like India, adversely leading to depleting natural resources and promoting unbalanced and uneven urbanism. To handle the influx of population into core urban regions and to promote holistic, sustainable development, government and planning agencies are now looking upon regional development. Developing countries like India has laid plans for future urban corridor-oriented development. This study aims to understand the urban growth of two major developing cities influenced by transport corridor through a methodological approach using multi-temporal satellite data and its position in India's network of cities. Land use analysis was validated with the aid of measures such as overall accuracy and kappa statistics, with good values of more than 85% and 0.75 respectively were achieved. The hierarchical network analysis indicated five different clusters based on the urban growth rate. Among these clusters, Bangalore, Ahmedabad and Pune cluster was further shortlisted for analysis based on the urban transport corridor affecting the growth of these cities. Cellular automata-based SLEUTH model was adopted in this work to carefully observe sub-division level details of the region under the influence of the corridor. Exhaustive calibration, with three phases of coarse, fine and final, validation procedure along with statistical fit measures reveal urban expansion for Ahmedabad region has witnessed an increase from 497.50 km 2 (2017) to 826.24 km 2 (2025) while Pune region has experienced tremendous urban area transformation of 901.11 km 2 in the year 2025 against 497.27 km 2 in 2017. Results of this analysis would help policymakers and planners to inculcate decisions concerning future urban trends accommodating safer, healthier, sustainable and liveable urban ecosystem.

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Green to gray: Silicon Valley of India

Cited by 27 publications

References 17 publications

Spatial and Temporal Dynamics of Urban Wetlands in an Indian Megacity over the Past 50 Years

Spatial and Temporal Dynamics of Urban Wetlands in an Indian Megacity over the Past 50 Years

Assessing Public Open Spaces: A Case of City Nagpur, India

Impact assessment of Corridor Oriented development

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