earticle

영어

The process of sustainable forest planning and management requires accurate and reliable information. Hence, forest inventory plays an important role in this process although it is complex, costly and time consuming. With recent advanced technology, many sophisticated devices and tools have been developed for measuring stand characteristics in field inventory. In particular, mobile devices (i.e., smartphone and tablet), becoming the most popular and rapidly developing computing devices in last decades, have been integrated into forest inventory with the mobile applications. These mobile inventory applications have embedded remote sensing technology such as photogrammetry and Lidar and have been used as an alternative to traditional measurement methods. This study aims to evaluate the effectiveness of the Arboreal Forest and Trestima mobile apps after compared to traditional field measurements methods in burned forested areas. The study focuses on assessing the stand characteristics, including, diameter-at-breast height (dbh), height, density and volume, which are key variables that are assessed in forest inventories. Different burned degrees of the trees (severe and low) were used to evaluate the performance of the methods. We employed the goodness-of-fit statistics (R2, RMSE, and Error) for the comparison of the two apps and traditional method and performed an analysis of the diameter and distribution and comparison of the mean diameter, number of trees per hectare, volume and basal area. In this study, the two apps were used to measure stand parameters after the forest fire, which will help accurate and fast post-fire harvest planning. The results indicated that the use of the mobile apps time effective and provided accurate and reliable solutions in the measurement of stand parameters after the fire.