04. Establishment of the impervious surfaces map using Sentinel-2 data: a case study in Ho Chi Minh City

Abstract

Ho Chi Minh city is known as a quick urbanization area in Vietnam. Meanwhile, impervious surfaces to be known as the key to identify the urbanization, urban sustainable development as well as planning of natural resources. Using satellite data to create the impervious surface map is an effective method and assurance of reliability for large areas. In this study, temporal Sentinel-2 data acquired in 2021 were classified for four classes including open water, vegetation, barren, and impervious surface area using the KNN classifier algorithm by eCognition software. The accuracy of the classification of land cover and impervious surfaces was evaluated in order to affirms the effectiveness and reliability of the classification method. The area of impervious surfaces in 2021 was compared with those in 2002, 2009 and 2016 to see the expansion of the impervious surface area related to the urbanization of Ho Chi Minh city. Results of this study therefore will support policy makers in developing planning policies for sustainable development of the urban area there.