Comparison of field survey and remote sensing techniques for detection of bark beetle-infested trees

0553565 - ÚVGZ 2023 RIV NL eng J - Journal Article
Bárta, Vojtěch - Hanuš, Jan - Dobrovolný, L. - Homolová, Lucie
Comparison of field survey and remote sensing techniques for detection of bark beetle-infested trees.
Forest Ecology and Management. Roč. 506, FEB (2022), č. článku 119984. ISSN 0378-1127. E-ISSN 1872-7042
R&D Projects: GA MŠMT(CZ) EF16_019/0000797
Institutional support: RVO:86652079
Keywords : chlorophyll content * ips-typographus * damage * uav * reflectance * canopies * forests * indexes * model * Bark beetle * Ips typographus (L.) * Hyperspectral remote sensing * Ecological modelling * Norway spruce
OECD category: Environmental sciences (social aspects to be 5.7)
Impact factor: 3.7, year: 2022
Method of publishing: Limited access
https://www.sciencedirect.com/science/article/pii/S037811272101077X

Detection in the early phase of bark beetle infestation is a vital task for proactive management strategies, as practiced in most Central European forests, to minimize economic losses due to bark beetle infestation and to mitigate their further spreading. For this work, remote sensing methods are coming to be in great demand as an objective approach to enable monitoring bark beetle infestation even at individual tree level.
Permanent Link: http://hdl.handle.net/11104/0330741