Land use Change Mapping using Remote Sensing and GIS: A Case Study in Ben TRE Province, Vietnam
Land-cover and land-use (LCLU) changes have significant climate impacts in tropical coastal regions with the added complexity of occurring within the context of a warming climate. The individual and combined effects of these two factors in tropical area are investigated by use of an integrated mesoscale atmospheric modeling approach, taking the eastern region of Ben Tre Province as the test case. To achieve this goal, scenario is supported with high-resolution remote sensing LCLU data. Here, the authors show that LCLU changes produced the large near-surface (30m), using satellite images Landsat 5, 7 and 8 to analyse the changes in LCLU from 1989 to 2015. Impacts of climate change, including CO2, rainfall, temperature, storm; particularly sea level rise, will make conditions even more precarious for mangroves and others land uses, heighten the urgent need to improve their management and protection. Ben Tre Province, Vietnam is one of the coastal areas of the world that are predicted to be most affected by sea level rise and climate change. The land use change has changed over large areas for years by climate change. Thus, satellite data was the best option for identification of its pattern. Remote sensing has been used as a tool for natural resources management. This study aims at understanding the changes in area and migration of land use during 26 years from 1989 to 2015 in Thanh Phong and Thanh Hai Communes, Ben Tre Province, Vietnam. In this study, satellite and GIS analysis are the major research methods. They provide information for identifying relationship in spatio-temporal on land use pattern.
Keywords - Coastal ecosystem, GIS, Mekong River Delta, Remote sensing