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 (original) (raw)
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Temporal land cover changes have a strong effect on the urban environment and its surroundings. In the present study, Delhi metropolitan area has been considered for the detection of land cover changes using Landsat images of 1989 and 2011. Emphasis has been given to identify the extent of urban expansion duly responsible for land cover changes. Remote sensing and GIS techniques have that potential to analyze this change for the time span of 22 years. Imageries have been classified digitally using Maximum Likelihood Classification (MLC) algorithm and have been validated through the process of accuracy assessment. Here the overall accuracy achieved for classified images is more that 80%. Areal change matrix and transitional probability matrix have also applied to identify the changes in land cover. It is found that urban area, fallow land and vegetation have changed drastically in Delhi.
Land Use and Land Cover Change Detection for Delhi Region through Remote Sensing Approach
— In this paper an attempt is made to study the changes in land use and land cover categories for Delhi region using remote sensing data and to generate the statistical of the changes that occur in the area of various land use/ land cover categories during the period 1990 to 2015. Remote sensing data and GIS techniques provide efficient methods for analysis of land use issues and tools for land use planning and modeling. A comprehensive LULC map was developed for four distinct years for a period of 25 years to study the urbanization in Delhi and evaluate the Change Detection of the study area and showing the result into change matrix, as well as also find out the impact of Delhi urbanization in urban rural fringe area and evaluate the change matrix of fringe area. Therefore, LULC were distinctly developed for each study years but with more emphasis on Built-up area to assess and quantify the urbanization. The study has demonstrated that urbanization and Spatio-temporal growth can be quantify and compared across different years. Landsat & IRS data proved to be adequate data source for the analysis of large and fast changing urban growth in Delhi.
Spatio-Temporal Analysis of Land Use and Land Cover in Delhi-NCR Using Satellite Data
Journal of global resources, 2021
This paper provides a comparative analysis of land use and land cover (LULC) changes among the study area of two decades (1999-2019). Landsat images (i.e., Landsat-5 and Landsat-8) acquired during the years of 1999, 2009, and 2019 were used to examine LULC changes in Delhi-NCR. A classification composed of five classes-i.e., Crop Land, Barren Land, Forest, Water, and Built-up were design for this study. This research indicates the necessity to implement change detection at multiple scales for better understanding the mechanism of LULC change patterns. The result indicates that the significant changes in LULC have occurred over time, with a rise in built-up, water, and cropland, and a decrease in forest and barren land. Built-up area has increased by 89.29 percent and water by 29.34 percent and crop land by 1.85 percent, while the forest and barren land have decreased by-81.51 and-9.02 percent respectively.
Trends and patterns of land use and land cover changes in the NCT of Delhi
2017
Urbanization and industrialization have altered the landscape of NCT of Delhi through the developmental processes and these developmental processes resulted in widespread expansion of grey infrastructure and the decline in vegetation cover. These changes in grey infrastructure and vegetation cover have considerable impact on the land use and land cover of the NCT of Delhi. The present research study attempts to analyze the spatial and multi-temporal land use and land cover change in the NCT of Delhi by using Geographical Information System (GIS) and Remote Sensing. The present research study is based on the remote sensing data of Landsat-7 (TM), Landsat-7 (ETM+) and IRS-P6 LISS III of 1987, 1999 and 2006 respectively. The data interpretation and analysis of LULCC in the NCT of Delhi helps in understanding the changes in LULCC, their causes and their impact on urban environment.
2014
Abstract- Land surface has always been an area of interest for geographers and other scholars interested in spatial analysis. This surface has been recording changes throughout geological times but with recent rapid urban expansion this change has been occurring at a much faster rate. This is more particular in urban landscape. This change needs to be detected, mapped and measured at frequent intervals so that we can have real time information on it. This information will not only be helpful for understanding the dynamics of the change but it is equally essential for further planning and management of land resources. Present paper has tried to find out the changes which has taken place in landscape of Karnal City in Haryana from 2000-2011.Study has used open source satellite images of Landsat ETM+ (LE71470392000289SGS00) and Landsat TM(LT51460412011064KHC00) downloaded
Land use and land cover change has become a central component in current strategies for managing natural resources and monitoring environmental changes. Urban expansion has brought serious losses of agriculture land, vegetation land and water bodies. Urban sprawl is responsible for a variety of urban environmental issues like decreased air quality, increased runoff and subsequent flooding, increased local temperature, deterioration of water quality, etc. In this work we have taken Vijayawada city as case to study the urban expansion and land cover change that took place in a span of 36 years from 1973 to 2009. Remote sensing methodology is adopted to study the geographical land use changes occurred during the study period. Landsat images of TM and ETM+ of Vijayawada city area are collected from the USGS Earth Explorer web site. After image pre-processing, un-supervised and supervised image classification has been performed to classify the images in to different land use categories. Five land use classes have been identified as Urban (Built-up), Water body, Agricultural land, Barren land and Vegetation. Classification accuracy is also estimated using the field knowledge obtained from field surveys. The obtained accuracy is between 73 to80 percent for all the classes. Change detection analysis shows that Built-up area has been increased by 372.28%, agricultural area has been decreased by 65.16% and barren area reduced by 60.98%. Information on urban growth, land use and land cover change study is very useful to local government and urban planners for the betterment of future plans of sustainable development of the city.
Land Use / Land Cover Change of Delhi: A Study using Remote Sensing and GIS Techniques
2014
Unprecedented Growth of an area measured is an important task because it play an important role for future development of that area. The change analysis was performed by post classification comparison method, comparing the data of two different sensors (Lands at TM and LISS III IRS P-6), at different time periods (years 1992 and 2004). The growth of Delhi measured between two time periods was based on the above data set. The results showed that there was rapid change in land cover/land use. It was found that there was a phenomenal change in the built-up area in watersheds, loss of forest cover and change in agriculture land. There is a great need for sustainable management of resources to maximise benefits of societal resources. On the basis of these data the land transformation map for different time periods has been prepared and showing land transformation data.
- Palarch’s Journal Of Archaeology Of Egypt/Egyptology 17(9), 2020
In this study, the metropolitan area of Delhi considered utilizing Landsat images from 1991 and 2011 in order to recognize changes to land cover. The changes in temporal land cover have an effect on the climate and its urban landscape. A change detection analyses the nature, extent of urban sprawl due to changes in land cover, land use/land cover (LULC) and twenty years of overtime change detection. This work explores the significant growth of the city at the expense of unbuilt land in its region. In the study area, there was a substantial land exchange between numerous LULC groups, not just because of the development of the city area. The accuracy assessment of the supervised classification showed good accuracy for 1991 and 2011 respectively, which was 96.31 and 97.35 percent. The twenty-year growth rate in the Delhi area was 11%. The study showed a dramatic shift in urban areas and agricultural land in Delhi and it contributed to 54116.2 hectares declining to 37243.17 hectares in 1991 and 2011 respectively.
The Indian Geographical Journal, 2017
This study attempts to evaluate land use/land cover changes and urban growth in the southern fringe of Kolkata Metropolitan Area (KMA) from 1980 to 2015 using landsat satellite images and socio economic data. This paper attempts to study the spatio temporal changes of land use/ land cover pattern of Pujali Municipality from 1980 to 2015. It also attempts to evaluate the intensity, dynamics and integration of land use/land cover changes. Pujali Municipality is located in the south western part of Kolkata Metropolitan Area (KMA) and it is one of the smallest municipalities in the southern part of KMA in terms of area and also population. In this paper the spatio-temporal dynamics of land use and land cover changes were quantified using five landsat images, using supervised classification algorithm and change detection techniques. This analysis revealed that substantial growth of built-up areas or residential area in the south western part of Kolkata city over the study period resulted in significant decrease in the area of water bodies, cultivated land, vegetation and wetlands. Urban land conversion has been largely driven by huge population growth and economic and infrastructural development like the construction of new flyovers, real estate projects which has led to huge land transformation in this area.