Application of remote sensing and GIS technique to analyze the land-use change: the case of Phu Giao district, Binh Duong province

Abstract

Digital change detection is a helpful technique using multi-temporal satellite image for analyzing landscape exchange. The objective of this study is an attempt to assess the land-use changes in Phu Giao district, Binh Duong province, Vietnam in the period of fifteen years, from 2001 to 2015. Landsat Thematic Mapper (TM) image data files of years from 2001 to 2015 were collected on website of United States Geological Survey (USGS). Then, the images supervised were classified into five classes including perennial plant, annual plant, barren and urban land, and water body using Maximum Likelihood classification method in ENVI 4.7, and mapped using ArcGIS. The results show that during fifteen years, perennial land and urban land have been increased by 39.83% and 10.32%, while annual land and water body have been decreased by 1.37% and 5.35% accordingly, respectively.