The potential of dual-wavelength terrestrial lidar in early detection of Ips typographus (L.) infestation – Leaf water content as a proxy
Samuli Junttila,Samuli Junttila,Markus Holopainen,Markus Holopainen,Mikko Vastaranta,Mikko Vastaranta,Päivi Lyytikäinen-Saarenmaa,Harri Kaartinen,Harri Kaartinen,Juha Hyyppä,Hannu Hyyppä,Hannu Hyyppä +11 more
TLDR
In this article, the authors investigated the feasibility of dual-wavelength terrestrial lidar in the estimation and detection of I. typographus infestation symptoms and examined the relationship between leaf water content (measured as gravimetric water content and equivalent water thickness) and infestation severity.About:
This article is published in Remote Sensing of Environment.The article was published on 2019-09-15 and is currently open access. It has received 27 citations till now. The article focuses on the topics: Infestation.read more
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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.
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Early detection of forest stress from European spruce bark beetle attack, and a new vegetation index: Normalized distance red & SWIR (NDRS)
TL;DR: The Normalized Distance Red & SWIR (NDRS) index is proposed as a new index that identified stressed forest with accuracies higher than those attained by established vegetation indices aimed at ‘green-attack’ detection, such as the Normalized Difference Water Index, Ratio Drought Index, and Disease Stress Water Index.
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Maize (Zea mays L.) physiological responses to drought and rewatering, and the associations with water stress degree
TL;DR: A drought level evaluation indicator, named water stress degree (Dws), was established by synthetically considering soil water content, evapotranspiration, and drought duration to obtain a quantitative description of drought level to help understand the disaster-causing mechanism of drought-stricken maize.
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