Predicting forest growth using modern remote sensing methods. – Nikola Tričković
Nikola Tričković
Master's thesis
Predicting forest growth using modern remote sensing methods.
Abstract:
21. Century is the Century of new, modern technologies and forestry sector is doing its best to adapt to it. Using Remote sensing technologies has seen exponential growth in the forestry sciences and practice as well. In this thesis remote sensing is used as evaluation of bi-temporal laser scans of the forested area as a mean for predicting forest growth. The area of National Park Bohemian Switzerland …more
Language used: English
Date on which the thesis was submitted / produced: 10. 4. 2022
Thesis defence
- Supervisor: doc. Ing. Peter Surový, PhD.
Citation record
ISO 690-compliant citation record:
TRIČKOVI$\backslash$'C, Nikola. \textit{Predicting forest growth using modern remote sensing methods.}. Online. Master's thesis. Praha: Czech University of Life Sciences Prague, Faculty of Forestry and Wood Sciences. 2022. Available from: https://theses.cz/id/lkujbb/.
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Institution archiving the thesis and making it accessible: Česká zemědělská univerzita v Praze, Fakulta lesnická a dřevařskáCzech University of Life Sciences Prague
Faculty of Forestry and Wood SciencesMaster programme / field:
Forestry Engineering / Forestry, Water and Landscape Management
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