Abstract

Recently, there has been a rapid fluctuation in the area of mangroves with increasing. In Vietnam, the trend in the application of remote sensing and GIS technology to assess changes in mangrove forest area is developing rapidly. However, in the conventional image classification method for extracting objects from remote sensing images, the classification accuracy used for mangrove forest extraction is not high due to image noise. The method of determining soil, water and vegetation ratio is based on the method of calculating the PVI plant index. The development of a computation of the soil, water and vegetation composi- tion on remote sensing images from the PVI index combined with the supervised image clas-sification method to assess the change in mangrove area is an optimal research direction. This combination is experimentally proven, providing users with high accuracy to assess the trend of change in time. The results of this study provide a scientific basis for the effective application of remote sensing data, which facilitates the management, information exploita- tion and result storage, serving the development of mapping the resource changes in gen- eral and mapping the changes in mangrove forests in particular in our country.