Identification of the Forest Cover Growth on Landscape Level from Aerial Laser Scanning Data

Author:

Sivák Miroslav1,Kardoš Miroslav1,Kadlečík Roman1,Chudá Juliána2,Tomaštík Julián1ORCID,Tuček Ján1ORCID

Affiliation:

1. Department of Forest Resource Planning and Informatics, Faculty of Forestry, Technical University in Zvolen, T. G. Masaryka 24, 960 01 Zvolen, Slovakia

2. Department of Forest Harvesting, Logistics and Ameliorations, Faculty of Forestry, Technical University in Zvolen, T. G. Masaryka 24, 960 01 Zvolen, Slovakia

Abstract

Aerial laser scanning technology has excellent potential in landscape management and forestry. Due to its specific characteristics, the application of this type of data is the subject of intensive research, with the search for new areas of application. This work aims to identify the boundaries of forest stands, and forest patches on non-forest land. The research objectives cover the diversity of conditions in the forest landscapes of Slovakia, with its high variability of tree species composition (coniferous, mixed, deciduous stands), age, height, and stand density. A semi-automatic procedure was designed and verified (consisting of the creation of a digital terrain model, a digital surface model, and the identification of peaks and contours of tree crowns), which allows after identification of homogeneous areas of forest stands and/or forest patches (areas covered with trees species canopy) with selected parameters (height, crown size, gap size), with high accuracy. The applicability of the proposed procedure increases the use of freely available ALS data (provided by the Office of Geodesy, Cartography, and Cadastre of the Slovak Republic) and freely distributable software tools (QGIS, CloudCompare).

Funder

Operational Programme Integrated Infrastructure

Publisher

MDPI AG

Subject

Nature and Landscape Conservation,Ecology,Global and Planetary Change

Reference39 articles.

1. Modelling Permafrost Terrain Using Kinematic, Dual-Wavelength Laser Scanning;Kukko;ISPRS Ann. Photogramm. Remote Sens. Spat. Inf. Sci.,2020

2. A best practices guide for generating forest inventory attributes from airborne laser scanning data using an area-based approach;White;For. Chron.,2013

3. Yu, X. (2007). Methods and Techniques for Forest Change Detetction and Growth Estimation Using Airborne Laser Scanning Data, Helsinki University of Technology.

4. Review of methods of small-footprint airborne laser scanning for extracting forest inventory data in boreal forests;Leckie;Int. J. Remote Sens.,2008

5. Airborne laser scanning—An introduction and overview;Wehr;ISPRS J. Photogramm. Remote Sens.,1999

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Problems of Formation of Specially Protected Natural Areas in the Arctic Zone of Russia;Advances in Environmental Engineering and Green Technologies;2024-06-28

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3