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
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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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
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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