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Journal ArticleDOI

Assessment of Land use/land cover Change in the North-West District of Delhi Using Remote Sensing and GIS Techniques

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TLDR
In this article, the authors have analyzed the land use/land cover of North West of Delhi for the time period of 1972-2003 using high-resolution remote sensing data and a change detection model was applied in ERDAS Imagine.
Abstract
Land is one of the prime natural resources. A city grows not only by population but also by changes in spatial dimensions. Urban population growth and urban sprawl induced land use changes and land transformation. The land transformation is a natural process and cannot be stopped but it can be regulated. Many geographical changes at the urban periphery are associated with the transfer of land from rural to urban purpose. There is an urgent need for fast growing areas like Delhi, which can be easily done by high-resolution remote sensing data. Land use/land cover of North West of Delhi has been analyzed for the time period of 1972–2003. The remote sensing data used in study is Aster image of 2003 with a spatial resolution of 15 m and other data of 1972 Survey of India (SOI) toposheet at the scale of 1:50,000. Supervised digital classification using maximum likelihood classifier was applied for preparing land use/land cover. A change detection model was applied in ERDAS Imagine to find out the land use/land cover during 1972 to 2003. Eight land use classes was identified but main dominated classes were built up and agricultural land. A drastic change has been recorded during 30 years of time i. e. (1972-2003). In 1972, 92.06% of the land was under agricultural practice, which reduced to 64.71% in 2003. This shows 27.35% decrease in agricultural land in three decades. On the other hand built up area was 6.31% in 1972, which increased to 34% in 2003. One of the main cause of this land use change is the population growth due to the migration in the district from small cities and rural areas of Delhi.

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Citations
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Land-Use Land-Cover Classification by Machine Learning Classifiers for Satellite Observations—A Review

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Dynamics of land use and land cover change (LULCC) using geospatial techniques: a case study of Islamabad Pakistan.

TL;DR: The increase was observed in agricultural area, built-up area and water body from 1992 to 2012 and forest and barren area followed a declining trend, the driving force behind this change was economic development, climate change and population growth.
Journal ArticleDOI

Urban Land Use Land Cover Changes and Their Effect on Land Surface Temperature: Case Study Using Dohuk City in the Kurdistan Region of Iraq

Gaylan Rasul Faqe Ibrahim
- 20 Feb 2017 - 
TL;DR: In this article, the authors investigated the effect of land use changes on land surface temperature (LST) in Duhok City due to enhanced political and economic growth during the period of 1990, 2000 and 2016.
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Dynamics of ecosystem services (ESs) in response to land use land cover (LU/LC) changes in the lower Gangetic plain of India

TL;DR: In this paper, the authors explored the minor variations of ecosystem services provided by the particular land use types of the study area and used elasticity techniques to analyse the response of land use land cover changes over the ecosystem service valuation, which showed that the overall built-up area has increased by 29.14% since 1999, while the overall water-body has decreased by 15.81%.
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Analyses of land use land cover (LULC) change and built-up expansion in the suburb of a metropolitan city: Spatio-temporal analysis of Delhi NCR using landsat datasets

TL;DR: In this article, the authors analyzed the LULC changes during 1990-2018 as well as the growth and pattern of built-up surfaces in relation to the population growth and migration in the suburbs of Delhi metropolitan city which is also known as the National Capital Region (NCR).
References
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Modeling Urban Growth Effects on Surface Runoff with the Integration of Remote Sensing and GIS

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Book ChapterDOI

Remote Sensing and Urban Analysis

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One of the main cause of this land use change is the population growth due to the migration in the district from small cities and rural areas of Delhi.