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Analysis of urban sprawl pattern of jodhpur city using landscape metrics
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Physical Sciences and Engineering
Abstract:
This paper shows the potential use of remote sensing technology and GIS for getting of accurate land-use information from landscape spatial metrics for analysis of urban sprawl of the Jodhpur city. This study also quantify and examine the characteristics of urban land cover changes (1990-2015) using the Landsat satellite images of 1990, 2000, 2010 and 2015. A supervised classification method has been applied to prepare the base maps with five land cover classes (built up area, mining area, vegetation, water body and other area). To observe the change detection, four different spatial landscape metrics viz. Mean Fractal Dimension Index (FRAC_MN), Area Weighted Mean Patch Fractal Dimension (AWMPFD), Euclidean Mean Nearest Neighbor (ENN_MN) and Core Area Percentage of Landscape (CPLAND) were calculated using Fragstats that shows detailed perspective of the landscape changes behavior.
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