Estimation of forest vegetation height using Landsat data

As climate change progresses, the form of forests has been changing. Developmental studies of remote sensing methods are needed to accurately estimate the changing form of forests. Recently, studies for estimating the forest vegetation height of forest area using Landsat data have been actively conducted. Therefore, this study calculated the SLAVI index composed of 4 (red), 5 (NIR), 7 (SWIR2) band combinations of Landsat 8. The relationship between the height of trees was estimated by linear regression analysis. Based on the result, a comparison in the height of the forest stands measured by the National Forest Inventory (NFI) shows a very high accuracy by the height of trees over 9 meters. The applicability of the study was investigated with the results, and the accuracy of the study will be compared through field surveys. The estimated accuracy of the height of trees in this study is not as high as 0.5-0.6 (R²), but it has an advantage of low cost and less effort to estimate the ​​height of trees in a large area and to acquire image data easily. Information about the height of trees is an important parameter for estimating forest biomass and carbon stocks, which is significant in studies of forest under climate change.