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Ocenjevanje gozdnih ekotopov v gozdnogospodarski enoti Lovrenc na Pohorju
Šprah, Ruben (Author), Hladnik, David (Mentor) More about this mentor... This link opens in a new window

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Abstract
Na območju gozdnogospodarske enote Lovrenc na Pohorju smo ocenjevali strukturno pestrost gozdov in možnosti uporabe metod daljinskega zaznavanja za ocenjevanje gozdnih ekotopov. Strukturo gozdov smo ocenjevali s kazalniki sestojne gostote in raznovrstnosti ter jih primerjali med različnimi rastiščnimi tipi in sestojnimi zgradbami. Sestojne strukture smo razmejevali s segmentacijo digitalnega modela krošenj, izdelanega na podlagi podatkov laserskega skeniranja Slovenije. V segmentih z nižjo povprečno drevesno višino smo ocenili večjo variabilnost drevesnih višin. Z uporabo lidarskih podatkov smo ocenjevali vplive razvojnih faz, rastišč, nadmorskih višin in topografskih položajev na višinsko strukturo sestojne strehe. Na podlagi satelitskih posnetkov misije Sentinel-2 smo prikazali sezonski potek vrednosti normiranega diferencialnega vegetacijskega indeksa (NDVI) za sestoje bukve, jelke, rušja in smreke. Na podlagi fenoloških razlik v olistanju je bilo mogoče razločevati sestoje bukve, rušja in smreke.

Language:Slovenian
Keywords:gozd/ekotop/sestojna zgradba/lidar/topografski položaj/višinska struktura sestojne strehe/satelitski posnetki/Sentinel-2/NDVI
Work type:Master's thesis/paper (mb22)
Organization:BF - Biotechnical Faculty
Year:2019
COBISS.SI-ID:5302182  Link is opened in a new window
Views:443
Downloads:197
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Secondary language

Language:English
Title:Assessment of forest ecotopes in forest management unit Lovrenc na Pohorju
Abstract:
In the area of forest management unit Lovrenc na Pohorju, we assessed the structural diversity of forests and the possibilities of using remote sensing methods for assessing forest ecotopes. We assessed the structure of forests with stand density and diversity indicators and compared them between different site types and forest stand structures. We delimited forest stand structures with segmentation of the digital canopy height model, which was made on the basis of laser scanning data of Slovenia. In the segments with lower average tree heights we estimated a higher variability of tree heights. Using lidar data, we evaluated the effects of development phases, sites, altitudes, and topographic positions on the canopy height structure. On the basis of satellite imagery from Sentinel-2 mission, we displayed the seasonal course of NDVI values for european beech, silver fir, creeping pine and norway spruce stands. On the basis of phenological differences in leaf unfolding, it was possible to distinguish beech, pine and spruce stands.

Keywords:forest/ecotope/stand structure/lidar/topographic position/canopy height structure/satellite imagery/Sentinel-2/NDVI

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