H
Harm Bartholomeus
Researcher at Wageningen University and Research Centre
Publications - 4
Citations - 335
Harm Bartholomeus is an academic researcher from Wageningen University and Research Centre. The author has contributed to research in topics: Diurnal temperature variation & Biomass. The author has an hindex of 4, co-authored 4 publications receiving 104 citations.
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Journal ArticleDOI
Terrestrial laser scanning in forest ecology: Expanding the horizon
Kim Calders,Jennifer Adams,John Armston,Harm Bartholomeus,Sébastien Bauwens,Lisa Patrick Bentley,Jérôme Chave,F. Mark Danson,Miro Demol,Miro Demol,Mathias Disney,Rachel Gaulton,Sruthi M. Krishna Moorthy,Shaun R. Levick,Ninni Saarinen,Ninni Saarinen,Crystal B. Schaaf,Atticus E. L. Stovall,Louise Terryn,Phil Wilkes,Hans Verbeeck +20 more
TL;DR: In this article, the authors provide an interdisciplinary focus to explore current developments in terrestrial laser scanning (TLS) to measure and monitor forest structure, and argue that TLS data will play a critical role in understanding fundamental ecological questions about tree size and shape, allometric scaling, metabolic function and plasticity of form.
Journal ArticleDOI
Biomass and Crop Height Estimation of Different Crops Using UAV-Based Lidar
TL;DR: The potential of data acquisition by UAV-LiDAR to estimate fresh biomass and crop height was investigated for three different crops grown in Wageningen (The Netherlands) from June to August 2018.
Journal ArticleDOI
Diurnal variation of sun-induced chlorophyll fluorescence of agricultural crops observed from a point-based spectrometer on a UAV
Na Wang,Juha Suomalainen,Harm Bartholomeus,Lammert Kooistra,Dainius Masiliūnas,Jan G. P. W. Clevers +5 more
TL;DR: The obtained results demonstrate the ability of the Fluor Spec system to reliably measure plant fluorescence at ground and field level, and the possibility of the UAV-based FluorSpec to bridge the scale gap between different levels of SIF observations.
Journal ArticleDOI
Identifying and quantifying the abundance of economically important palms in tropical moist forest using UAV imagery
Ximena Tagle Casapia,Lourdes Falen,Harm Bartholomeus,Rodolfo Cárdenas,Gerardo Cruz Flores,Martin Herold,Eurídice N. Honorio Coronado,Timothy R. Baker +7 more
TL;DR: An object-based classification workflow for RGB UAV imagery which aims to identify and delineate palm tree crowns in the tropical rainforest by combining image processing and GIS functionalities using color and textural information in an integrative way to show one of the potential uses of UAVs in tropical forests.