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

0553565 - ÚVGZ 2023 RIV NL eng J - Článek v odborném periodiku
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
Grant CEP: GA MŠMT(CZ) EF16_019/0000797
Institucionální podpora: RVO:86652079
Klíčová slova: chlorophyll content * ips-typographus * damage * uav * reflectance * canopies * forests * indexes * model * Bark beetle * Ips typographus (L.) * Hyperspectral remote sensing * Ecological modelling * Norway spruce
Obor OECD: Environmental sciences (social aspects to be 5.7)
Impakt faktor: 3.7, rok: 2022
Způsob publikování: Omezený přístup
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.
Trvalý link: http://hdl.handle.net/11104/0330741