| 1 | Automated tree detection and crown delineation using airborne laser scanner data in heterogeneous East-Central Europe forest with different species mix显示文摘Identifying tree locations is a basic step in the derivation of other tree parameters using remote sensing techniques,particularly when using airborne laser scanning.There are several techniques for identifying tree positions.In this paper,we present a raster-based method for determining tree position and delineating crown coverage.We collected data from nine research plots that supported different mixes of species.We applied a rasterbased method to raster layers with six different spatial resolutions and used terrestrial measurement data as reference data.Tree identification at a spatial resolution of 1.5 m was demonstrated to be the most accurate,with an average identification ratio(IR) of 95% and average detection ratio of 68% being observed.At a higher spatial resolution of 0.5 m,IR was overestimated by more than 600%.At a lower spatial resolution of 3 m,IR was underestimated at less than 44% of terrestrial measurements.The inventory process was timed to enable evaluation of the time efficiency of automatic methods. | Róbert Smreek Ivan Sakov Zuzana Michnová Ján Tuek | 2017 | Journal of Forestry Research2017，28，5： | 1 |
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