Assessment spacial impervious surface changes in Can Tho city from 2015 to 2018 using Landsat images

Abstract

The rapid urbanization increases the impermeable surface that leads to reduce the water permeability into the soil, resulting in reducing the infiltration and increasing the surface runoff. This study aims to extract the impermeable surface using Landsat satellite images and to monitor changes in the impervious surface in the period 2015 –2018 in Can Tho city. This study applied the Objectbased Image Analysis (OBIA) method with the Rule-based Image Analysis algorithm on Landsat 8 fusion data with multispectral images and spatial resolution of 15 m in the period 2015 – 2018 using impermeable surface extraction indicators. Impermeable surface map in 2015 and 2018 with high accuracy assessment (T = 95.5% and K = 0.91, 2015; T = 94% and K = 0.88, in 2018) was established and the fluctuation of the impermeable surface increased from 13,746.6 ha (9.55%) to 19,966.67 ha (13.87%) from 2015 to 2018. The research result indicated the infrastructure development situation and urban construction in Can Tho city during three years increasing of 4.32% of the total natural area in Can Tho city.