The use of remote sensing imagery for the estimation of tree health characteristics related to bark beetle attack

Ing. Aleksei Trubin

Doctoral thesis

Abstract:

This thesis examines the impact of climate-induced drought stress and bark beetle infestations on European spruce forests, particularly the Eurasian spruce bark beetle (Ips typographus L.) attacks on Norway and Siberian spruce. Utilizing satellite remote sensing, ground truth, and meteorological data, the study explores tree health assessment during various bark beetle infestation phases. Overall, this thesis contributes significantly to forest management and conservation strategies. By integrating satellite imagery with terrestrial and climatic data, it provides a comprehensive framework for early detection and continuous monitoring of bark beetle infestations. This proactive methodology aids in identifying vulnerable and affected areas, enabling timely and targeted interventions to reduce damage. Moreover, the developed mortality models using climatic variables empower forest managers to better anticipate and prepare for potential outbreaks, optimizing resource management and response tactics.

Keywords

Ips typographus, Picea abies, bark beetle outbreaks, drought, spectral vegetation indices

Language used: English

Date on which the thesis was submitted / produced: 6. 2. 2024

Thesis defence

• Supervisor: doc. Ing. Peter Surový, PhD.
• Reader: Vítězslav Moudrý, Ph.D., doc. Ing., Tomáš Mikita, externi, Olga Brovkina, externi

Czech University of Life Sciences Prague

Faculty of Forestry and Wood Sciences

Doctoral programme:
Applied geoinformatics and remote sensing in forestry