Species discrimination and individual tree detection for predicting main dendrometric characteristics in mixed temperate forests by use of airborne laser scanning and ultra-high-resolution imagery

This study aims to investigate the combined use of two types of remote sensing data — ALS derived and digital aerial photogrammetry data (based on imagery collected by airborne UAV sensors) — along with intensive field measurements for extracting and predicting tree and stand parameters in even-aged...

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Veröffentlicht in:	The Science of the total environment 2020-01, Vol.698, p.134074-134074, Article 134074
Hauptverfasser:	Apostol, Bogdan, Petrila, Marius, Lorenţ, Adrian, Ciceu, Albert, Gancz, Vladimir, Badea, Ovidiu
Format:	Artikel
Sprache:	eng
Schlagworte:	ALS Environmental Monitoring Fagus Forest inventory Forests Lasers Light Monte Carlo simulation OBIA Picea Remote Sensing Technology Romania Trees UAV
Online-Zugang:	Volltext
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