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Vegetation structure determination using LIDAR data and the forest growth parameters
University of Defence in Brno, Czech Republic.
University of Defence in Brno, Czech Republic.
Mendel university Brno, Czech Republic.
University of Twente, Netherlands.
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2016 (English)In: 8th IGRSM International Conference and Exhibition on Geospatial & Remote Sensing (IGRSM 2016), Institute of Physics Publishing (IOPP), 2016, Vol. 37, article id 012031Conference paper, Published paper (Refereed)
Abstract [en]

The goal of this paper is to identify the main vegetation factors in the terrain, which are important for the analysis of forest structure. Such an analysis is important for forestry, rescue operations management during crises situations and disasters such as fires, storms, earthquakes and military analysis (transportation, cover, concealment, etc.). For the forest structure determination, both LIDAR and the forest growth prediction analysis were used. As main results, the vegetation height, tree spacing and stem diameters were determined

Place, publisher, year, edition, pages
Institute of Physics Publishing (IOPP), 2016. Vol. 37, article id 012031
Series
IOP Conference Series: Earth and Environmental Science, ISSN 1755-1307, E-ISSN 1755-1315 ; 37(1)
National Category
Other Engineering and Technologies
Research subject
Military Technology
Identifiers
URN: urn:nbn:se:fhs:diva-6691DOI: 10.1088/1755-1315/37/1/012031OAI: oai:DiVA.org:fhs-6691DiVA, id: diva2:1092278
Conference
8th IGRSM International Conference and Exibitione on Geospatial & Remote Sensing (IGRSM 2016), 13-14 April 2016, Kuala Lumpur, Malaysia
Available from: 2017-05-02 Created: 2017-05-02 Last updated: 2019-08-26Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • harvard-cite-them-right
  • ieee
  • modern-language-association-8th-edition
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Language
  • de-DE
  • en-GB
  • en-US
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  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
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  • text
  • asciidoc
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