Predicting forest growth using modern remote sensing methods.

Nikola Tričković

Master's thesis

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 has been chosen and tree and stand parameters were measured on the field as a validation data. Correlations between trees height and increment had been established, growth was modeled and its accuracy calculated. Presented results in this thesis suggest that this method is acceptable for forest growth predictions and can be used in the future.

Keywords

Remote sensing, Laser scan, Forest growth

Jazyk práce: English

Datum vytvoření / odevzdání či podání práce: 10. 4. 2022

Obhajoba závěrečné práce

• Vedúci: doc. Ing. Peter Surový, PhD.

Czech University of Life Sciences Prague

Faculty of Forestry and Wood Sciences

Master programme / odbor:
Forestry Engineering / Forestry, Water and Landscape Management