Automated tree detection and crown delineation using airborne laser scanner data in heterogeneous East-Central Europe forest with different species mix
| Autor: | Zuzana Michňová, Róbert Smreček, Ivan Sačkov, Ján Tuček |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
010504 meteorology & atmospheric sciences
Laser scanning Crown (botany) Reference data (financial markets) 0211 other engineering and technologies Time efficiency Forestry 02 engineering and technology computer.file_format 01 natural sciences Tree (data structure) Identification (information) Environmental science Raster graphics Image resolution computer 021101 geological & geomatics engineering 0105 earth and related environmental sciences Remote sensing |
| Zdroj: | Journal of Forestry Research. 28:1049-1059 |
| ISSN: | 1993-0607 1007-662X |
| DOI: | 10.1007/s11676-017-0378-7 |
| Popis: | 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 raster-based 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. |
| Databáze: | OpenAIRE |
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