Research Information System
International Congress on Engineering and Life Science (ICELIS 2018), Kastamonu, Turkey, 26 - 29 April 2018, pp.344, (Summary Text)
Drone based laser scanning (DALS) is rapidly turning into a popular method for operational forest assessment. In this study, point cloud data and simultaneous aerial images were obtained by using Lidar Sensor (YellowScan Surveyor), which was placed on drone for first time in Turkey. About 20 hectares forested area was selected as test area in Istanbul University Research and Practice Forest (Figure 1: a). Comprehensive statistical and visual evaluations were completed for forest stands. The field data were collected in summer in 2017. 45 plots measured randomly in May (leaf on period) and 25 plots measured in October (leaf off period). Sampling in May is traditional forest management measurements and only diameter, height and species measured. Additional work has been done in October because the crown diameter and the number of trees in the plot are required for this study. Oak stands cover 95% of study area. Topcon GRS1 DGPS system was used to collect the coordinates at center of the plot. Sampling areas were taken in 300 m2. In this study, statistical relations between crown diameter, DBH and height were investigated using plot survey data to determine forest volume from the DALS. Because crown diameter ( R2 = 0.849) and tree height (R2=0.732) can be obtained using Lidar data with high accuracy (Figure 1: b). As a result, it is possible to estimate the dendrometric parameters of forest stands with high accuracy by using drone based lidar data alone or with a combination of different remote sensing data.