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Land Use and Land Cover Change Detection for Urban Sprawl Analysis of Ahmedabad City using Multitemporal Landsat Data


 
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1. Title Title of document Land Use and Land Cover Change Detection for Urban Sprawl Analysis of Ahmedabad City using Multitemporal Landsat Data
 
2. Creator Author's name, affiliation, country Minakshi Goswami; Centre of Studies in Resources Engineering, Indian Institute of Technology, Mumbai, Maharashtra, India
 
2. Creator Author's name, affiliation, country Khire M.V.; Centre of Studies in Resources Engineering, Indian Institute of Technology, Mumbai, Maharashtra, India
 
2. Creator Author's name, affiliation, country (doi: 10.23953/cloud.ijarsg.51)
 
3. Subject Discipline(s) Urban planning and GIS
 
3. Subject Keyword(s) Land Use/Land Cover; Urban Sprawl; Urbanization; Remote Sensing
 
3. Subject Subject classification Urban planning
 
4. Description Abstract

Land use and land cover change is the important factor for the urban growth analysis, and because of urban growth the city is sprawling in the haphazard manner. Because of urban growth and urban expansion there is loss of agricultural land and green area and this is directly responsible for the loss of water body. Here Ahmedabad city has taken as case to study the urban expansion and land cover change that took place in a span of 12 years from 1999 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 Ahmedabad city area are used in this study. After image processing, supervised image classification has been performed to classify the images in to different land use categories. So knowledge about the land use and land cover is very important and useful for the urban planners and the government for preparation of future master plans and to implement these plans in the proper way.


 
5. Publisher Organizing agency, location
 
6. Contributor Sponsor(s)
 
7. Date (YYYY-MM-DD) 2016-04-12
 
8. Type Status & genre Peer-reviewed Article
 
8. Type Type GIS and remote sensing
 
9. Format File format PDF
 
10. Identifier Uniform Resource Identifier http://technical.cloud-journals.com/index.php/IJARSG/article/view/Tech-572
11. Source Journal/conference title; vol., no. (year) International Journal of Advanced Remote Sensing and GIS; Volume 5 (Year 2016)
 
12. Language English=en en
 
14. Coverage Geo-spatial location, chronological period, research sample (gender, age, etc.)
 
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