Vegetation cover mapping based on remotely sensed image analysis

Abstract

    Carpet vegetation cover is one of several important factors used to evaluate the natural processes like erosion, landslide, flood and speed to destroy the natural environment by human activities. For the dangerous mountain region, mapping the carpet difficult because can not take samples were analyzed throughout the region. Established carpet vegetation cover map from remote sensing image analysis has reduced time and increased accuracy of the map.

     The results of analysis and testing classification for Landsat images Tua Chua region - Lai Chau have good results with exactly the coefficient K = 0.7, are in limited precision inspection methods after classifying Kappa . Results showed that vegetation cover area rugs Tua Chua assigned seven different layers of forest is stable, young forest, mixed forest, rice and vegetables, shrubs, bare soil and water.