9 December 2015 Four decades urban growth and land use change in Samara Russia through remote sensing and GIS techniques
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Proceedings Volume 9817, Seventh International Conference on Graphic and Image Processing (ICGIP 2015); 98171A (2015) https://doi.org/10.1117/12.2227992
Event: Seventh International Conference on Graphic and Image Processing, 2015, Singapore, Singapore
Abstract
This study illustrates the spatio-temporal dynamics of urban growth and land use changes in Samara city, Russia from 1975 to 2015. Landsat satellite imageries of five different time periods from 1975 to 2015 were acquired and quantify the changes with the help of ArcGIS 10.1 Software. By applying classification methods to the satellite images four main types of land use were extracted: water, built-up, forest and grassland. Then, the area coverage for all the land use types at different points in time were measured and coupled with population data. The results demonstrate that, over the entire study period, population was increased from 1146 thousand people to 1244 thousand from 1975 to 1990 but later on first reduce and then increase again, now 1173 thousand population. Built-up area is also change according to population. The present study revealed an increase in built-up by 37.01% from 1975 to 1995, than reduce -88.83% till 2005 and an increase by 39.16% from 2005 to 2015, along with the increase in population, migration from rural areas owing to the economic growth and technological advantages associated with urbanization. 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 to sustainable development of the city.
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Mukesh Singh Boori, Mukesh Singh Boori, Komal Choudhary, Komal Choudhary, Alexander Kupriyanov, Alexander Kupriyanov, Viktor Kovelskiy, Viktor Kovelskiy, } "Four decades urban growth and land use change in Samara Russia through remote sensing and GIS techniques", Proc. SPIE 9817, Seventh International Conference on Graphic and Image Processing (ICGIP 2015), 98171A (9 December 2015); doi: 10.1117/12.2227992; https://doi.org/10.1117/12.2227992
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