Akademik Veri Yönetim Sistemi
4 INTERNATIONAL CONFERENCE ON ENGINEERING SCIENCE AND TECHNOLOGY, Budva, Karadağ, 8 - 10 Eylül 2021, ss.335-346
With the development of remote sensing technology, the information about the surface and the changes
can be determined more precisely and more accurately. In this contex, forest cover density is one of the
important froest structural parameter in forest management. This extremely important issue in forest
management is determined with the help of various satellite images. A wide variety of satellite images
are used for this purpose depending on the study. The forest cover map can be derived from the spectral
properties of optical images and also derived from 3D point cloud data such as LiDAR data with high
accuracy. In this study, point cloud forest cover map was determined using Sentinel-2 optical image and
3D LiDAR data in Turkey located in the wooded area in the province of Adapazarı. The benefits and
shortcomings were revealed in terms of utilization possibilities and forest management in both studies.
Then, the values of Forest Index (FI) and Normalized Difference Vegetation Index (NDVI), Enhanged
Vegetation Index (EVI), Red Edge Ratio Vegetation Index (RERVI) were calculated and the results
were compared in forest area. At the end of the study, user accuracy for forest cover density for LiDAR
data and Sentinel data is very high with 76% and 85%.