Prediction of Dominant Forest Tree Species Using QuickBird and Environmental Data

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Prediction of Dominant Forest Tree Species Using QuickBird and Environmental Data

Popis výsledku v původním jazyce

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

Název v anglickém jazyce

Prediction of Dominant Forest Tree Species Using QuickBird and Environmental Data

Popis výsledku anglicky

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

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

40102 - Forestry

Projekt

<a href="/cs/project/QJ1520187" target="_blank" >QJ1520187: Vývoj bezpilotních prostředků pro monitoring v lesním hospodářství</a><br>

Návaznosti

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

Rok uplatnění

2017

Kód důvěrnosti údajů

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

Název periodika

FORESTS

ISSN

1999-4907

e-ISSN

—

Svazek periodika

8

Číslo periodika v rámci svazku

2

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

19

Strana od-do

1-19

Kód UT WoS článku

000395659200013

EID výsledku v databázi Scopus

2-s2.0-85013828118