LAND COVER CHANGE ASSESSMENT USFNG MULTITEMPORAL DATASETS OF TANINTHARYI REGION, MYANMAR

摘要

Most of the land cover change assessments are usually done on multitemporal datasets of satellite images. This paper is tried to prove to make datasets and mapping of forest cover for change assessments of the Tanintharyi Region. The main data is ten satellite images from the United States of Geological Survey (USGS) with less than 10 percent cloud cover. The maximum likelihood of the supervised classifier is applied in this study to detect land cover changes from Landsat 5 and Landsat 8 images. The forest cover is classified into six major classes viz. closed forest, open forest, other wooden lands, mangrove forest, water, and others. Change matrix, and the net change analysis was performed to compare the changing area of forest cover class conversions for 10 years. The results show the negative hot spot or deforestation area and the positive bright spot of reforestation in the study area.