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Prediction of Dominant Forest Tree Species Using QuickBird and Environmental Data

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41320%2F17%3A75848" target="_blank" >RIV/60460709:41320/17:75848 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.3390/f8020042" target="_blank" >http://dx.doi.org/10.3390/f8020042</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.3390/f8020042" target="_blank" >10.3390/f8020042</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Prediction of Dominant Forest Tree Species Using QuickBird and Environmental Data

  • Original language description

    Modelling the spatial distribution of plants is one of the indirect methods for predicting the properties of plants and can be defined based on the relationship between the spatial distribution of vegetation and environmental variables. In this article, we introduce a new method for the spatial prediction of the dominant trees and species, through a combination of environmental and satellite data. Based on the basal area factor (BAF) frequency for each tree species in a total of 518 sample plots, the dominant tree species were determined for each plot. Also, topographical maps of primary and secondary properties were prepared using the digital elevation model (DEM). Categories of soil and the climate maps database of the Doctor Bahramnia Forestry Plan were extracted as well. After pre-processing and processing of spectral data, the pixel values at the sample locations in all the independent factors such as spectral and non-spectral data, were extracted. The modelling rates of tree and shrub species d

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    40102 - Forestry

Result continuities

  • Project

    <a href="/en/project/QJ1520187" target="_blank" >QJ1520187: Development of Unmanned Aerial Vehicles for forest monitoring</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2017

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    FORESTS

  • ISSN

    1999-4907

  • e-ISSN

  • Volume of the periodical

    8

  • Issue of the periodical within the volume

    2

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    19

  • Pages from-to

    1-19

  • UT code for WoS article

    000395659200013

  • EID of the result in the Scopus database

    2-s2.0-85013828118