Author(s):

Aye Pwint Phyu, Hnin Hnin Htun, Thett Oo Eain and Htet Ne Oo

Abstract: Urbanization is becoming one of the dynamic phenomenon all over the world. The analysis of urban changes and the measurement of urban growth take part in essential role. Geographic Information System (GIS) technologies are utilized to extract some of the important spatially variable parameter such as analysis of urban landscape process from satellite images. In this paper, the specialized area is Pyin Oo Lwin Township in Myanmar to analyze the urbanized area in three different years. Analysis of urban changes process has been studied using land use pattern derived from Landsat TM/ETM satellite data (2010-2017). At first, maximum likelihood supervised classification technique is applied for classification three difference classes (i) built-up, (ii) water and (iii) others or non-built-up. Based on the spatial density of build-up area, the seven classes are separately identified using the Urban Landscape Analysis Tool (ULAT) which was employed for metrics quantification for urban expansion. These seven classes consist of (i) Urban built-up, (ii) Suburban built-up (iii) Rural built-up (iv) Urbanized open land (v) Captured open land, (vi) Rural open land and (vii) Water. Finally, the urbanized maps are compared with each other between the year 2010 and 2017 to detect the urban changes and urban expansion in the city. Biography: Aye Pwint Phyu has completed her BE specialized field in Information Science and Technology at the age of 22 years and pursuing Master of engineering at University of Technology (Yatanarpon Cyber City)

Pages: 676-680  |  1997 Views  216 Downloads

Download (592KB)